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__pycache__
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.idea
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paper_download/
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te_u/paper_down_load/ECCV_2022/
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import gradio as gr
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import os
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from te_u.arxiv import get_news_from_arxiv
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#
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# os.environ['http_proxy'] = '127.0.0.1:7890'
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# os.environ['https_proxy'] = '127.0.0.1:7890'
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from utils import get_news, get_clouds
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from gradio_pdf import PDF
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current_pdf_file = None
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news = []
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choose_news = []
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column(scale=20):
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gr.HTML("""<h1 align="center" id="space-title" style="font-size:35px;">科研情报</h1>""")
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with gr.Column(scale=1, min_width=100):
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gr.HTML(
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"""<h5 align="center"> </h5> """
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)
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gr.HTML(
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"""<h5 align="center"> Created by 朱瑞</h5> """
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)
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("科研文献分析"):
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with gr.Row():
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with gr.Accordion("文献采集区", open=True, ) as area_news_get_fn:
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keywords = gr.Dropdown(choices=["对抗攻击", "knowledge graph", "认知智能与先进计算", "电磁空间感知与利用", "信息安全与攻防博弈"],
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value="对抗攻击", label="关键词", show_label=True)
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source = gr.Dropdown(choices=["知网", "arxiv"], value="知网", label="数据源", show_label=True)
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num = gr.Slider(1, 100, value=10, label="采集条数", step=1)
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news_get = gr.Button("获取论文", variant='primary')
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with gr.Row():
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with gr.Accordion("文献标记分析区", open=True, elem_id="news-panel") as news_get_fn:
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chosen_news = gr.CheckboxGroup(choices=[item['name'] for item in news], label="需要进行操作的文献")
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with gr.Row():
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news_mark = gr.Button("标记文献")
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news_all_mark = gr.Button("全部标记", variant='primary')
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def recover_news_by_choose(news_titles):
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select_news = []
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global news
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for news_title in news_titles:
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for i in news:
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if news_title == i['name']:
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new_i = i
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select_news.append(new_i)
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break
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return select_news
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def mark_new(titles):
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global choose_news
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mark_news = recover_news_by_choose(titles)
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choose_news = mark_news
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def get_news_temp(num, keywords, source):
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""" 获取临时的文献 """
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global news
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results = []
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if source == "知网":
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results = get_news(num, keywords)
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elif source == "arxiv":
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results = get_news_from_arxiv(num, keywords)
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news.extend(results)
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return gr.CheckboxGroup(choices=[item['name'] for item in news], label="需要进行操作的文献")
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def mark_all_new():
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global news
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global choose_news
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choose_news = news
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return gr.CheckboxGroup(choices=[item['name'] for item in news], value=[item['name'] for item in news], label="需要进行操作的文献")
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news_get.click(get_news_temp, inputs=[num, keywords, source], outputs=[chosen_news])
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news_mark.click(mark_new, inputs=[chosen_news])
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news_all_mark.click(mark_all_new, outputs=[chosen_news])
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with gr.TabItem("科研文献获取"):
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with gr.Row():
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with gr.Accordion("功能区", open=True, ) as area_news_analyse_fn:
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with gr.Row():
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ci_yun_by_title = gr.Button("题目词云", variant='primary')
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ci_yun_by_abstract = gr.Button("摘要词云", variant='primary')
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with gr.Row():
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with gr.Accordion("结果展示区", open=True, ) as area_news_result_fn:
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result_place = gr.Image()
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def g_ci_yun_by_title():
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global choose_news
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word_list = [c["name"] for c in choose_news]
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pic = get_clouds(word_list)
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return pic
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def g_ci_yun_by_abstract():
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global choose_news
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word_list = [c["abstract"] for c in choose_news]
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pic = get_clouds(word_list)
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return pic
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ci_yun_by_title.click(g_ci_yun_by_title, outputs=[result_place])
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ci_yun_by_abstract.click(g_ci_yun_by_abstract, outputs=[result_place])
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with gr.TabItem("会议论文查看"):
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with gr.Row():
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with gr.Column(scale=1):
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with gr.Row():
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# gr.Label("会议名称")
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conf_name = gr.Dropdown(choices=["ECCV2022", "ECCV2020", "CVPR2024"], value="ECCV2022", label="会议名称", show_label=True)
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conf_button = gr.Button("查看会议论文", variant='primary')
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dataframe = gr.Dataframe(headers=["论文名称"], col_count=(1, "fixed"), type='array', height=800)
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with gr.Row():
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look_input = gr.Textbox(placeholder="关键词检索", label="关键词过滤")
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filter_button = gr.Button("过滤")
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# up_button = gr.Button("加载")
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with gr.Column(scale=2):
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pdf = PDF(label="Upload a PDF", interactive=True, height=1000)
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# name = gr.Textbox(show_label=False)
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# pdf.upload(lambda f: f, pdf, name)
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def up_load():
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global current_pdf_file
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n = r"D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_2022\main_paper\3d-siamese-transformer-network-for-single-object-tracking-on-point-clouds_ECCV_2022.pdf"
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current_pdf_file = n
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return n
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def load_conf_list(conf_name):
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if conf_name == "ECCV2022":
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root_dir = r"D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_2022\main_paper"
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return [[i] for i in os.listdir(root_dir)]
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def look_dataframe(evt: gr.SelectData):
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global current_pdf_file
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if evt.value:
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root_dir = r"D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_2022\main_paper"
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n = os.path.join(root_dir, evt.value)
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if os.path.exists(n):
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current_pdf_file = n
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return current_pdf_file
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def filter_by_word(words, paper_list):
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word_list = words.strip().split()
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paper_list_filter = [p[0] for p in paper_list]
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for word in word_list:
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paper_list_filter = [p for p in paper_list_filter if word in p]
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return [[p] for p in paper_list_filter]
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filter_button.click(filter_by_word, inputs=[look_input, dataframe], outputs=[dataframe])
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dataframe.select(look_dataframe, inputs=None, outputs=[pdf])
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conf_button.click(load_conf_list, inputs=[conf_name], outputs=[dataframe])
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# up_button.click(up_load, inputs=None, outputs=[pdf])s
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if __name__ == '__main__':
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demo.queue().launch(inbrowser=True, server_name='127.0.0.1', server_port=23223)
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_trad_ 12.215113775321004
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task 11.808329224486352
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step 10.115128616689704
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thought 9.468294108747731
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performance 7.91112148935495
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agent 7.908585185590241
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demonstration 7.695334786087041
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retrieval 7.60209065815528
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method 7.186012901911181
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trajectory 6.258998528039508
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information 5.995282554194667
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_synapse_ 5.572552304074627
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relevant 5.527015778258248
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example 5.080665441372099
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reason 4.676097441406382
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_react_ 4.570513969848461
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baseline 4.479754027332443
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prompt 4.395961022082388
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achieve 4.296215825920176
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current 4.284028839203101
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[
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{
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||||||
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"name": "\u57fa\u4e8e\u6570\u636e\u589e\u5f3a\u548c\u6807\u7b7e\u566a\u58f0\u7684\u5feb\u901f\u5bf9\u6297\u8bad\u7ec3\u65b9\u6cd5",
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"authors": [
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"\u5b8b\u9038\u98de",
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"\u67f3\u6bc5"
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],
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"affiliations": [
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"\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662"
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],
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"abstract": "\u5bf9\u6297\u8bad\u7ec3\u662f\u4fdd\u62a4\u5206\u7c7b\u6a21\u578b\u514d\u53d7\u5bf9\u6297\u6027\u653b\u51fb\u7684\u6709\u6548\u9632\u5fa1\u65b9\u6cd5\u3002\u7136\u800c\uff0c\u7531\u4e8e\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u751f\u6210\u5f3a\u5bf9\u6297\u6837\u672c\u7684\u9ad8\u6210\u672c\uff0c\u53ef\u80fd\u9700\u8981\u6570\u91cf\u7ea7\u7684\u989d\u5916\u8bad\u7ec3\u65f6\u95f4\u3002\u4e3a\u4e86\u514b\u670d\u8fd9\u4e00\u9650\u5236\uff0c\u57fa\u4e8e\u5355\u6b65\u653b\u51fb\u7684\u5feb\u901f\u5bf9\u6297\u8bad\u7ec3\u5df2\u88ab\u63a2\u7d22\u3002\u4ee5\u5f80\u7684\u5de5\u4f5c\u4ece\u6837\u672c\u521d\u59cb\u5316\u3001\u635f\u5931\u6b63\u5219\u5316\u548c\u8bad\u7ec3\u7b56\u7565\u7b49\u4e0d\u540c\u89d2\u5ea6\u5bf9\u5feb\u901f\u5bf9\u6297\u8bad\u7ec3\u8fdb\u884c\u4e86\u6539\u8fdb\u3002\u7136\u800c\uff0c\u5728\u5904\u7406\u5927\u6270\u52a8\u9884\u7b97\u65f6\u9047\u5230\u4e86\u707e\u96be\u6027\u8fc7\u62df\u5408\u3002\u57fa\u4e8e\u6570\u636e\u589e\u5f3a\u4e0e\u6807\u7b7e\u566a\u58f0\u7684\u5feb\u901f\u5bf9\u6297\u8bad\u7ec3\u65b9\u6cd5\u88ab\u63d0\u51fa\uff0c\u4ee5\u89e3\u51b3\u6b64\u56f0\u96be\u3002\u521d\u59cb\u9636\u6bb5\uff0c\u5bf9\u539f\u59cb\u6837\u672c\u6267\u884c\u591a\u79cd\u56fe\u50cf\u8f6c\u6362\uff0c\u5e76\u5f15\u5165\u968f\u673a\u566a\u58f0\u4ee5\u5b9e\u65bd\u6570\u636e\u589e\u5f3a\uff1b\u63a5\u7740\uff0c\u5c11\u91cf\u6807\u7b7e\u566a\u58f0\u88ab\u6ce8\u5165\uff1b\u7136\u540e\u4f7f\u7528\u589e\u5f3a\u7684\u6570\u636e\u751f\u6210\u5bf9\u6297\u6837\u672c\u7528\u4e8e\u6a21\u578b\u8bad\u7ec3\uff1b\u6700\u540e\uff0c\u6839\u636e\u5bf9\u6297\u9c81\u68d2\u6027\u6d4b\u8bd5\u7ed3\u679c\u81ea\u9002\u5e94\u5730\u8c03\u6574\u6807\u7b7e\u566a\u58f0\u7387\u3002\u5728CIFAR-10\u3001CIFAR-100\u6570\u636e\u96c6\u4e0a\u7684\u5168\u9762\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u76f8\u8f83\u4e8eFGSM-MEP\uff0c\u6240\u63d0\u65b9\u6cd5\u5728\u5927\u6270\u52a8\u9884\u7b97\u6761\u4ef6\u4e0b\uff0c\u5728\u4e24\u4e2a\u6570\u636e\u96c6\u4e0a\u7684AA\u4e0a\u5206\u522b\u63d0\u5347\u4e864.63\u548c5.38\u4e2a\u767e\u5206\u70b9\u3002\u7ecf\u5b9e\u9a8c\u8bc1\u660e\uff0c\u65b0\u63d0\u51fa\u7684\u65b9\u6848\u53ef\u4ee5\u6709\u6548\u5730\u5904\u7406\u5927\u7684\u6270\u52a8\u9884\u7b97\u4e0b\u707e\u96be\u6027\u8fc7\u62df\u5408\u95ee\u9898\uff0c\u5e76\u663e\u8457\u589e\u5f3a\u6a21\u578b\u7684\u5bf9\u6297\u9c81\u68d2\u6027\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u6761\u4ef6\u6269\u6563\u6a21\u578b\u7684\u56fe\u50cf\u5206\u7c7b\u5bf9\u6297\u6837\u672c\u9632\u5fa1\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u9648\u5b50\u6c11",
|
||||||
|
"\u5173\u5fd7\u6d9b"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u534e\u5317\u7535\u529b\u5927\u5b66\u63a7\u5236\u4e0e\u8ba1\u7b97\u673a\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u56fe\u50cf\u5206\u7c7b\u7b49\u9886\u57df\u53d6\u5f97\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\u7684\u7ed3\u679c\uff0c\u4f46\u662f\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5bb9\u6613\u53d7\u5230\u5bf9\u6297\u6837\u672c\u7684\u5e72\u6270\u5a01\u80c1\uff0c\u653b\u51fb\u8005\u901a\u8fc7\u5bf9\u6297\u6837\u672c\u5236\u4f5c\u7b97\u6cd5\uff0c\u7cbe\u5fc3\u8bbe\u8ba1\u5fae\u5c0f\u6270\u52a8\uff0c\u6784\u9020\u8089\u773c\u96be\u4ee5\u5206\u8fa8\u5374\u80fd\u5f15\u53d1\u6a21\u578b\u8bef\u5206\u7c7b\u7684\u5bf9\u6297\u6837\u672c\uff0c\u7ed9\u56fe\u50cf\u5206\u7c7b\u7b49\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u5e26\u6765\u4e25\u91cd\u7684\u5b89\u5168\u9690\u60a3\u3002\u4e3a\u63d0\u5347\u56fe\u50cf\u5206\u7c7b\u6a21\u578b\u7684\u9c81\u68d2\u6027\uff0c\u672c\u6587\u5229\u7528\u6761\u4ef6\u6269\u6563\u6a21\u578b\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u7efc\u5408\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\u548c\u5bf9\u6297\u6837\u672c\u51c0\u5316\u7684\u5bf9\u6297\u6837\u672c\u9632\u5fa1\u65b9\u6cd5\u3002\u5728\u4e0d\u4fee\u6539\u76ee\u6807\u6a21\u578b\u7684\u57fa\u7840\u4e0a\uff0c\u68c0\u6d4b\u5e76\u51c0\u5316\u5bf9\u6297\u6837\u672c\uff0c\u63d0\u5347\u76ee\u6807\u6a21\u578b\u9c81\u68d2\u6027\u3002\u672c\u65b9\u6cd5\u5305\u62ec\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\u548c\u5bf9\u6297\u6837\u672c\u51c0\u5316\u4e24\u4e2a\u6a21\u5757\u3002\u5bf9\u4e8e\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\uff0c\u91c7\u7528\u4e0d\u4e00\u81f4\u6027\u589e\u5f3a\uff0c\u901a\u8fc7\u8bad\u7ec3\u4e00\u4e2a\u878d\u5165\u76ee\u6807\u6a21\u578b\u9ad8\u7ef4\u7279\u5f81\u548c\u56fe\u7247\u57fa\u672c\u7279\u5f81\u7684\u56fe\u50cf\u4fee\u590d\u6a21\u578b\uff0c\u6bd4\u8f83\u521d\u59cb\u8f93\u5165\u548c\u4fee\u590d\u7ed3\u679c\u7684\u4e0d\u4e00\u81f4\u6027\uff0c\u68c0\u6d4b\u5bf9\u6297\u6837\u672c\uff1b\u5bf9\u4e8e\u5bf9\u6297\u6837\u672c\u51c0\u5316\uff0c\u91c7\u7528\u7aef\u5230\u7aef\u7684\u5bf9\u6297\u6837\u672c\u51c0\u5316\u65b9\u5f0f\uff0c\u5728\u53bb\u566a\u6a21\u578b\u6267\u884c\u8fc7\u7a0b\u4e2d\u52a0\u5165\u56fe\u7247\u4f2a\u5f71\uff0c\u5b9e\u73b0\u5bf9\u6297\u6837\u672c\u51c0\u5316\u3002\u5728\u4fdd\u8bc1\u76ee\u6807\u6a21\u578b\u7cbe\u5ea6\u7684\u524d\u63d0\u4e0b\uff0c\u5728\u76ee\u6807\u6a21\u578b\u524d\u589e\u52a0\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\u548c\u51c0\u5316\u6a21\u5757\uff0c\u6839\u636e\u68c0\u6d4b\u7ed3\u679c\uff0c\u9009\u53d6\u76f8\u5e94\u7684\u51c0\u5316\u7b56\u7565\uff0c\u4ece\u800c\u6d88\u9664\u5bf9\u6297\u6837\u672c\uff0c\u63d0\u5347\u76ee\u6807\u6a21\u578b\u7684\u9c81\u68d2\u6027\u3002\u5728CIFAR10\u6570\u636e\u96c6\u548cCIFAR100\u6570\u636e\u96c6\u4e0a\u4e0e\u73b0\u6709\u65b9\u6cd5\u8fdb\u884c\u5bf9\u6bd4\u5b9e\u9a8c\u3002\u5bf9\u4e8e\u6270\u52a8\u8f83\u5c0f\u7684\u5bf9\u6297\u6837\u672c\uff0c\u672c\u65b9\u6cd5\u7684\u68c0\u6d4b\u7cbe\u5ea6\u6bd4Argos\u65b9\u6cd5\u63d0\u5347\u4e865-9\u4e2a\u767e\u5206\u70b9\uff1b\u76f8\u6bd4\u4e8eADP\u65b9\u6cd5\uff0c\u672c\u65b9\u6cd5\u5728\u9762\u5bf9\u4e0d\u540c\u79cd\u7c7b\u5bf9\u6297\u6837\u672c\u65f6\u9632\u5fa1\u6548\u679c\u66f4\u7a33\u5b9a\uff0c\u4e14\u5728BPDA\u653b\u51fb\u4e0b\uff0c\u672c\u65b9\u6cd5\u7684\u5bf9\u6297\u6837\u672c\u51c0\u5316\u6548\u679c\u8f83ADP\u63d0\u5347\u4e861.3%\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u63a9\u6a21\u63d0\u53d6\u7684SAR\u56fe\u50cf\u5bf9\u6297\u6837\u672c\u751f\u6210\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u7ae0\u575a\u6b661",
|
||||||
|
"\u80fd\u8c6a1",
|
||||||
|
"\u674e\u67701",
|
||||||
|
"\u94b1\u5efa\u534e2"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66",
|
||||||
|
"2. \u4e2d\u56fd\u8054\u901a(\u6d59\u6c5f)\u4ea7\u4e1a\u4e92\u8054\u7f51\u6709\u9650\u516c\u53f8"
|
||||||
|
],
|
||||||
|
"abstract": "SAR\uff08SyntheticApertureRadar\uff0c\u5408\u6210\u5b54\u5f84\u96f7\u8fbe\uff09\u56fe\u50cf\u7684\u5bf9\u6297\u6837\u672c\u751f\u6210\u5728\u5f53\u524d\u5df2\u7ecf\u6709\u5f88\u591a\u65b9\u6cd5\uff0c\u4f46\u4ecd\u5b58\u5728\u7740\u5bf9\u6297\u6837\u672c\u6270\u52a8\u91cf\u8f83\u5927\u3001\u8bad\u7ec3\u4e0d\u7a33\u5b9a\u4ee5\u53ca\u5bf9\u6297\u6837\u672c\u7684\u8d28\u91cf\u65e0\u6cd5\u4fdd\u8bc1\u7b49\u95ee\u9898\u3002\u9488\u5bf9\u4e0a\u8ff0\u95ee\u9898\uff0c\u63d0\u51fa\u4e86\u4e00\u79cdSAR\u56fe\u50cf\u5bf9\u6297\u6837\u672c\u751f\u6210\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u57fa\u4e8eAdvGAN\u6a21\u578b\u67b6\u6784\uff0c\u9996\u5148\u6839\u636eSAR\u56fe\u50cf\u7684\u7279\u70b9\u8bbe\u8ba1\u4e86\u4e00\u79cd\u7531\u589e\u5f3aLee\u6ee4\u6ce2\u5668\u548cOTSU\uff08\u6700\u5927\u7c7b\u95f4\u65b9\u5dee\u6cd5\uff09\u81ea\u9002\u5e94\u9608\u503c\u5206\u5272\u7b49\u6a21\u5757\u7ec4\u6210\u7684\u63a9\u6a21\u63d0\u53d6\u6a21\u5757\uff0c\u8fd9\u79cd\u65b9\u6cd5\u4ea7\u751f\u7684\u6270\u52a8\u91cf\u66f4\u5c0f\uff0c\u4e0e\u539f\u59cb\u6837\u672c\u7684SSIM\uff08Structural Similarity\uff0c\u7ed3\u6784\u76f8\u4f3c\u6027\uff09\u503c\u8fbe\u52300.997\u4ee5\u4e0a\u3002\u5176\u6b21\u5c06\u6539\u8fdb\u7684RaGAN\u635f\u5931\u5f15\u5165\u5230AdvGAN\u4e2d\uff0c\u4f7f\u7528\u76f8\u5bf9\u5747\u503c\u5224\u522b\u5668\uff0c\u8ba9\u5224\u522b\u5668\u5728\u8bad\u7ec3\u65f6\u540c\u65f6\u4f9d\u8d56\u4e8e\u771f\u5b9e\u6570\u636e\u548c\u751f\u6210\u7684\u6570\u636e\uff0c\u63d0\u9ad8\u4e86\u8bad\u7ec3\u7684\u7a33\u5b9a\u6027\u4e0e\u653b\u51fb\u6548\u679c\u3002\u5728MSTAR\u6570\u636e\u96c6\u4e0a\u4e0e\u76f8\u5173\u65b9\u6cd5\u8fdb\u884c\u4e86\u5b9e\u9a8c\u5bf9\u6bd4\uff0c\u5b9e\u9a8c\u8868\u660e\uff0c\u6b64\u65b9\u6cd5\u751f\u6210\u7684SAR\u56fe\u50cf\u5bf9\u6297\u6837\u672c\u5728\u653b\u51fb\u9632\u5fa1\u6a21\u578b\u65f6\u7684\u653b\u51fb\u6210\u529f\u7387\u8f83\u4f20\u7edf\u65b9\u6cd5\u63d0\u9ad8\u4e8610%\uff5e15%\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u56fe\u795e\u7ecf\u7f51\u7edc\u5bf9\u6297\u653b\u51fb\u4e0e\u9c81\u68d2\u6027\u8bc4\u6d4b\u524d\u6cbf\u8fdb\u5c55",
|
||||||
|
"authors": [
|
||||||
|
"\u5434\u6d9b1,2,3",
|
||||||
|
"\u66f9\u65b0\u6c761,2",
|
||||||
|
"\u5148\u5174\u5e731,2,3",
|
||||||
|
"\u8881\u97161,2",
|
||||||
|
"\u5f20\u6b8a3",
|
||||||
|
"\u5d14\u707f\u4e00\u661f1,2",
|
||||||
|
"\u7530\u4f833"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u91cd\u5e86\u90ae\u7535\u5927\u5b66\u7f51\u7edc\u7a7a\u95f4\u5b89\u5168\u4e0e\u4fe1\u606f\u6cd5\u5b66\u9662",
|
||||||
|
"2. \u91cd\u5e86\u5e02\u7f51\u7edc\u4e0e\u4fe1\u606f\u5b89\u5168\u6280\u672f\u5de5\u7a0b\u5b9e\u9a8c\u5ba4",
|
||||||
|
"3. \u91cd\u5e86\u90ae\u7535\u5927\u5b66-\u91cd\u5e86\u4e2d\u56fd\u4e09\u5ce1\u535a\u7269\u9986\u667a\u6167\u6587\u535a\u8054\u5408\u5b9e\u9a8c\u5ba4"
|
||||||
|
],
|
||||||
|
"abstract": "\u8fd1\u5e74\u6765\uff0c\u56fe\u795e\u7ecf\u7f51\u7edc\uff08GNNs\uff09\u9010\u6e10\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u91cd\u8981\u7814\u7a76\u65b9\u5411\u3002\u7136\u800c\uff0cGNNs\u7684\u5bf9\u6297\u8106\u5f31\u6027\u4f7f\u5176\u5b9e\u9645\u5e94\u7528\u9762\u4e34\u4e25\u5cfb\u6311\u6218\u3002\u4e3a\u4e86\u5168\u9762\u8ba4\u8bc6GNNs\u5bf9\u6297\u653b\u51fb\u4e0e\u9c81\u68d2\u6027\u8bc4\u6d4b\u7684\u7814\u7a76\u5de5\u4f5c\uff0c\u5bf9\u76f8\u5173\u524d\u6cbf\u8fdb\u5c55\u8fdb\u884c\u68b3\u7406\u548c\u5206\u6790\u8ba8\u8bba\u3002\u9996\u5148\uff0c\u4ecb\u7ecdGNNs\u5bf9\u6297\u653b\u51fb\u7684\u7814\u7a76\u80cc\u666f\uff0c\u7ed9\u51faGNNs\u5bf9\u6297\u653b\u51fb\u7684\u5f62\u5f0f\u5316\u5b9a\u4e49\uff0c\u9610\u8ff0GNNs\u5bf9\u6297\u653b\u51fb\u53ca\u9c81\u68d2\u6027\u8bc4\u6d4b\u7684\u7814\u7a76\u6846\u67b6\u548c\u57fa\u672c\u6982\u5ff5\u3002\u7136\u540e\uff0c\u5bf9GNNs\u5bf9\u6297\u653b\u51fb\u9886\u57df\u6240\u63d0\u5177\u4f53\u65b9\u6cd5\u8fdb\u884c\u4e86\u603b\u7ed3\u548c\u68b3\u7406\uff0c\u5e76\u5bf9\u5176\u4e2d\u7684\u524d\u6cbf\u65b9\u6cd5\u4ece\u5bf9\u6297\u653b\u51fb\u7c7b\u578b\u548c\u653b\u51fb\u76ee\u6807\u8303\u56f4\u7684\u89d2\u5ea6\u8fdb\u884c\u8be6\u7ec6\u5206\u7c7b\u9610\u8ff0\uff0c\u5206\u6790\u4e86\u5b83\u4eec\u7684\u5de5\u4f5c\u673a\u5236\u3001\u539f\u7406\u548c\u4f18\u7f3a\u70b9\u3002\u5176\u6b21\uff0c\u8003\u8651\u5230\u57fa\u4e8e\u5bf9\u6297\u653b\u51fb\u7684\u6a21\u578b\u9c81\u68d2\u6027\u8bc4\u6d4b\u4f9d\u8d56\u4e8e\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u7684\u9009\u62e9\u548c\u5bf9\u6297\u6270\u52a8\u7a0b\u5ea6\uff0c\u53ea\u80fd\u5b9e\u73b0\u95f4\u63a5\u3001\u5c40\u90e8\u7684\u8bc4\u4ef7\uff0c\u96be\u4ee5\u5168\u9762\u53cd\u6620\u6a21\u578b\u9c81\u68d2\u6027\u7684\u672c\u8d28\u7279\u5f81\uff0c\u4ece\u800c\u7740\u91cd\u5bf9\u6a21\u578b\u9c81\u68d2\u6027\u7684\u76f4\u63a5\u8bc4\u6d4b\u6307\u6807\u8fdb\u884c\u4e86\u68b3\u7406\u548c\u5206\u6790\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u4e3a\u4e86\u652f\u6491GNNs\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u548c\u9c81\u68d2\u6027\u6a21\u578b\u7684\u8bbe\u8ba1\u4e0e\u8bc4\u4ef7\uff0c\u901a\u8fc7\u5b9e\u9a8c\u4ece\u6613\u5b9e\u73b0\u7a0b\u5ea6\u3001\u51c6\u786e\u6027\u3001\u6267\u884c\u65f6\u95f4\u7b49\u65b9\u9762\u5bf9\u4ee3\u8868\u6027\u7684GNNs\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u8fdb\u884c\u4e86\u5bf9\u6bd4\u5206\u6790\u3002\u6700\u540e\uff0c\u5bf9\u5b58\u5728\u7684\u6311\u6218\u548c\u672a\u6765\u7814\u7a76\u65b9\u5411\u8fdb\u884c\u5c55\u671b\u3002\u603b\u4f53\u800c\u8a00\uff0c\u76ee\u524dGNNs\u5bf9\u6297\u9c81\u68d2\u6027\u7814\u7a76\u4ee5\u53cd\u590d\u5b9e\u9a8c\u4e3a\u4e3b\u3001\u7f3a\u4e4f\u5177\u6709\u6307\u5bfc\u6027\u7684\u7406\u8bba\u6846\u67b6\u3002\u5982\u4f55\u4fdd\u969c\u57fa\u4e8eGNNs\u7684\u6df1\u5ea6\u667a\u80fd\u7cfb\u7edf\u7684\u53ef\u4fe1\u6027\uff0c\u4ecd\u9700\u8fdb\u4e00\u6b65\u7cfb\u7edf\u6027\u7684\u57fa\u7840\u7406\u8bba\u7814\u7a76\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u8bca\u65ad\u548c\u63d0\u9ad8\u8fc1\u79fb\u5b66\u4e60\u6a21\u578b\u9c81\u68d2\u6027\u7684\u53ef\u89c6\u5206\u6790\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u5218\u771f",
|
||||||
|
"\u989c\u83c1",
|
||||||
|
"\u5434\u5146\u56fd",
|
||||||
|
"\u6797\u83f2",
|
||||||
|
"\u5434\u5411\u9633"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u676d\u5dde\u7535\u5b50\u79d1\u6280\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u867d\u7136\u8fc1\u79fb\u5b66\u4e60\u53ef\u4ee5\u4f7f\u5f00\u53d1\u4eba\u5458\u6839\u636e\u590d\u6742\u7684\u9884\u8bad\u7ec3\u6a21\u578b(\u6559\u5e08\u6a21\u578b)\u6784\u5efa\u7b26\u5408\u76ee\u6807\u4efb\u52a1\u7684\u81ea\u5b9a\u4e49\u6a21\u578b(\u5b66\u751f\u6a21\u578b)\uff0c \u4f46\u662f\u8fc1\u79fb\u5b66\u4e60\u4e2d\u7684\u5b66\u751f\u6a21\u578b\u53ef\u80fd\u4f1a\u7ee7\u627f\u6559\u5e08\u6a21\u578b\u4e2d\u7684\u7f3a\u9677\uff0c \u800c\u6a21\u578b\u9c81\u68d2\u6027\u662f\u4f5c\u4e3a\u8861\u91cf\u6a21\u578b\u7f3a\u9677\u7ee7\u627f\u7684\u91cd\u8981\u6307\u6807\u4e4b\u4e00. \u5728\u8fc1\u79fb\u5b66\u4e60\u9886\u57df\u4e2d\uff0c \u901a\u5e38\u4f1a\u8fd0\u7528\u7f3a\u9677\u7f13\u89e3\u6216\u5b66\u751f\u6a21\u578b\u548c\u6559\u5e08\u6a21\u578b\u8054\u5408\u8bad\u7ec3\u7684\u65b9\u6cd5\uff0c \u8fbe\u5230\u51cf\u5c11\u7ee7\u627f\u6559\u5e08\u6a21\u578b\u7684\u7f3a\u9677\u77e5\u8bc6\u76ee\u7684. \u56e0\u6b64\uff0c \u8bba\u6587\u63d0\u51fa\u4e00\u79cd\u7528\u4e8e\u63a2\u7d22\u8fc1\u79fb\u5b66\u4e60\u8fc7\u7a0b\u4e2d\u6a21\u578b\u9c81\u68d2\u6027\u53d8\u5316\u60c5\u51b5\u7684\u53ef\u89c6\u5206\u6790\u65b9\u6cd5\uff0c \u5e76\u6784\u5efa\u4e86\u76f8\u5e94\u7684\u539f\u578b\u7cfb\u7edf\u2014\u2014TLMRVis. \u8be5\u65b9\u6cd5\u9996\u5148\u8ba1\u7b97\u4e86\u5b66\u751f\u6a21\u578b\u7684\u9c81\u68d2\u6027\u80fd\u6307\u6807; \u5176\u6b21\u5728\u6570\u636e\u5b9e\u4f8b\u5c42\u9762\u5c55\u793a\u6a21\u578b\u5404\u7c7b\u522b\u7684\u8868\u73b0\u6027\u80fd; \u7136\u540e\u5728\u5b9e\u4f8b\u7279\u5f81\u5c42\u9762\u901a\u8fc7\u6a21\u578b\u62bd\u8c61\u5316\u65b9\u5f0f\u53bb\u63ed\u793a\u6559\u5e08\u6a21\u578b\u548c\u5b66\u751f\u6a21\u578b\u4e4b\u95f4\u7ee7\u627f\u7684\u91cd\u7528\u77e5\u8bc6; \u6700\u540e\u7ed3\u5408\u6a21\u578b\u5207\u7247\u65b9\u6cd5\u6539\u5584\u6a21\u578b\u7684\u7f3a\u9677\u7ee7\u627f\u7528\u4ee5\u63d0\u9ad8\u6a21\u578b\u9c81\u68d2\u6027. \u540c\u65f6\uff0c TLMRVis\u7cfb\u7edf\u4e0d\u4ec5\u7ed3\u5408\u591a\u79cd\u53ef\u89c6\u5316\u65b9\u6cd5\u5c55\u793a\u591a\u79cd\u5b66\u751f\u6a21\u578b\u548c\u6559\u5e08\u6a21\u578b\u4e4b\u95f4\u7684\u5f02\u540c\u70b9\uff0c \u800c\u4e14\u901a\u8fc7\u5f15\u5165\u7f3a\u9677\u7f13\u89e3\u6280\u672f\u6765\u67e5\u770b\u548c\u8bca\u65ad\u6559\u5e08\u6a21\u578b\u548c\u5b66\u751f\u6a21\u578b\u7684\u6027\u80fd\u53d8\u5316\u548c\u5e95\u5c42\u9884\u6d4b\u884c\u4e3a\u673a\u5236. 2\u4e2a\u6848\u4f8b\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c TLMRVis\u7cfb\u7edf\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5206\u6790\u8fc1\u79fb\u5b66\u4e60\u4e2d\u6a21\u578b\u7684\u9c81\u68d2\u6027\u3001\u6a21\u578b\u7ee7\u627f\u7684\u7f3a\u9677\u77e5\u8bc6\u548c\u6a21\u578b\u7f3a\u9677\u6539\u5584\u540e\u7684\u6027\u80fd\u53d8\u5316."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u8fd1\u7aef\u7ebf\u6027\u7ec4\u5408\u7684\u4fe1\u53f7\u8bc6\u522b\u795e\u7ecf\u7f51\u7edc\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u90ed\u5b87\u7426",
|
||||||
|
"\u674e\u4e1c\u9633",
|
||||||
|
"\u95eb\u9554",
|
||||||
|
"\u738b\u6797\u5143"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u6218\u7565\u652f\u63f4\u90e8\u961f\u4fe1\u606f\u5de5\u7a0b\u5927\u5b66\u6210\u50cf\u4e0e\u667a\u80fd\u5904\u7406\u5b9e\u9a8c\u5ba4"
|
||||||
|
],
|
||||||
|
"abstract": "\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u5728\u65e0\u7ebf\u901a\u4fe1\u9886\u57df\u7279\u522b\u662f\u4fe1\u53f7\u8c03\u5236\u8bc6\u522b\u65b9\u5411\u7684\u5e7f\u6cdb\u5e94\u7528\uff0c\u795e\u7ecf\u7f51\u7edc\u6613\u53d7\u5bf9\u6297\u6837\u672c\u653b\u51fb\u7684\u95ee\u9898\u540c\u6837\u5f71\u54cd\u7740\u65e0\u7ebf\u901a\u4fe1\u7684\u5b89\u5168\u3002\u9488\u5bf9\u65e0\u7ebf\u4fe1\u53f7\u5728\u901a\u4fe1\u4e2d\u96be\u4ee5\u5b9e\u65f6\u83b7\u5f97\u795e\u7ecf\u7f51\u7edc\u53cd\u9988\u4e14\u53ea\u80fd\u8bbf\u95ee\u8bc6\u522b\u7ed3\u679c\u7684\u9ed1\u76d2\u653b\u51fb\u573a\u666f\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u8fd1\u7aef\u7ebf\u6027\u7ec4\u5408\u7684\u9ed1\u76d2\u67e5\u8be2\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u9996\u5148\u5728\u6570\u636e\u96c6\u7684\u4e00\u4e2a\u5b50\u96c6\u4e0a\uff0c\u5bf9\u6bcf\u4e2a\u539f\u59cb\u4fe1\u53f7\u6837\u672c\u8fdb\u884c\u8fd1\u7aef\u7ebf\u6027\u7ec4\u5408\uff0c\u5373\u5728\u975e\u5e38\u9760\u8fd1\u539f\u59cb\u4fe1\u53f7\u7684\u8303\u56f4\u5185\u4e0e\u76ee\u6807\u4fe1\u53f7\u8fdb\u884c\u7ebf\u6027\u7ec4\u5408\uff08\u52a0\u6743\u7cfb\u6570\u4e0d\u5927\u4e8e0.05\uff09\uff0c\u5e76\u5c06\u5176\u8f93\u5165\u5f85\u653b\u51fb\u7f51\u7edc\u67e5\u8be2\u8bc6\u522b\u7ed3\u679c\u3002\u901a\u8fc7\u7edf\u8ba1\u7f51\u7edc\u5bf9\u5168\u90e8\u8fd1\u7aef\u7ebf\u6027\u7ec4\u5408\u8bc6\u522b\u51fa\u9519\u7684\u6570\u91cf\uff0c\u786e\u5b9a\u6bcf\u7c7b\u539f\u59cb\u4fe1\u53f7\u6700\u5bb9\u6613\u53d7\u5230\u7ebf\u6027\u7ec4\u5408\u5f71\u54cd\u7684\u7279\u5b9a\u76ee\u6807\u4fe1\u53f7\uff0c\u5c06\u5176\u79f0\u4e3a\u6700\u4f73\u6270\u52a8\u4fe1\u53f7\u3002\u5728\u653b\u51fb\u6d4b\u8bd5\u65f6\uff0c\u6839\u636e\u4fe1\u53f7\u7684\u7c7b\u522b\u9009\u62e9\u5bf9\u5e94\u6700\u4f73\u6270\u52a8\u4fe1\u53f7\u6267\u884c\u8fd1\u7aef\u7ebf\u6027\u7ec4\u5408\uff0c\u751f\u6210\u5bf9\u6297\u6837\u672c\u3002\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u8be5\u65b9\u6cd5\u5728\u9009\u5b9a\u5b50\u96c6\u4e0a\u9488\u5bf9\u6bcf\u79cd\u8c03\u5236\u7c7b\u522b\u7684\u6700\u4f73\u6270\u52a8\u4fe1\u53f7\uff0c\u6dfb\u52a0\u5728\u5168\u90e8\u6570\u636e\u96c6\u4e0a\u80fd\u5c06\u795e\u7ecf\u7f51\u7edc\u8bc6\u522b\u51c6\u786e\u7387\u4ece94%\u964d\u523050%\uff0c\u4e14\u76f8\u8f83\u4e8e\u6dfb\u52a0\u968f\u673a\u566a\u58f0\u653b\u51fb\u7684\u6270\u52a8\u529f\u7387\u66f4\u5c0f\u3002\u6b64\u5916\uff0c\u751f\u6210\u7684\u5bf9\u6297\u6837\u672c\u5bf9\u4e8e\u7ed3\u6784\u8fd1\u4f3c\u7684\u795e\u7ecf\u7f51\u7edc\u5177\u6709\u4e00\u5b9a\u8fc1\u79fb\u6027\u3002\u8fd9\u79cd\u65b9\u6cd5\u5728\u7edf\u8ba1\u67e5\u8be2\u540e\u751f\u6210\u65b0\u7684\u5bf9\u6297\u6837\u672c\u65f6\uff0c\u6613\u4e8e\u5b9e\u73b0\u4e14\u65e0\u9700\u518d\u8fdb\u884c\u9ed1\u76d2\u67e5\u8be2\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u751f\u6210\u5bf9\u6297\u7f51\u7edc\u7684\u6df1\u5ea6\u4f2a\u9020\u8de8\u6a21\u578b\u9632\u5fa1\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u6234\u78ca",
|
||||||
|
"\u66f9\u6797",
|
||||||
|
"\u90ed\u4e9a\u7537",
|
||||||
|
"\u5f20\u5e06",
|
||||||
|
"\u675c\u5eb7\u5b81"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u5317\u4eac\u4fe1\u606f\u79d1\u6280\u5927\u5b66\u4fe1\u606f\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u4e3a\u4e86\u964d\u4f4e\u6df1\u5ea6\u4f2a\u9020\uff08deepfake\uff09\u6280\u672f\u6ee5\u7528\u5e26\u6765\u7684\u793e\u4f1a\u98ce\u9669\uff0c\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8e\u751f\u6210\u5bf9\u6297\u7f51\u7edc\u7684\u4e3b\u52a8\u9632\u5fa1\u6df1\u5ea6\u4f2a\u9020\u65b9\u6cd5\uff0c\u901a\u8fc7\u5728\u539f\u59cb\u56fe\u50cf\u4e0a\u589e\u52a0\u5fae\u5f31\u6270\u52a8\u5236\u4f5c\u5bf9\u6297\u6837\u672c\uff0c\u4f7f\u591a\u4e2a\u4f2a\u9020\u6a21\u578b\u8f93\u51fa\u4ea7\u751f\u660e\u663e\u5931\u771f\u3002\u63d0\u51fa\u7684\u6a21\u578b\u7531\u5bf9\u6297\u6837\u672c\u751f\u6210\u6a21\u5757\u548c\u5bf9\u6297\u6837\u672c\u4f18\u5316\u6a21\u5757\u7ec4\u6210\u3002\u5bf9\u6297\u6837\u672c\u751f\u6210\u6a21\u5757\u5305\u62ec\u751f\u6210\u5668\u548c\u9274\u522b\u5668\uff0c\u751f\u6210\u5668\u63a5\u6536\u539f\u59cb\u56fe\u50cf\u751f\u6210\u6270\u52a8\u540e\uff0c\u901a\u8fc7\u5bf9\u6297\u8bad\u7ec3\u7ea6\u675f\u6270\u52a8\u7684\u7a7a\u95f4\u5206\u5e03\uff0c\u964d\u4f4e\u6270\u52a8\u7684\u89c6\u89c9\u611f\u77e5\uff0c\u63d0\u9ad8\u5bf9\u6297\u6837\u672c\u7684\u771f\u5b9e\u6027\uff1b\u5bf9\u6297\u6837\u672c\u4f18\u5316\u6a21\u5757\u7531\u57fa\u7840\u5bf9\u6297\u6c34\u5370\u3001\u6df1\u5ea6\u4f2a\u9020\u6a21\u578b\u548c\u9274\u522b\u5668\u7b49\u7ec4\u6210\uff0c\u901a\u8fc7\u6a21\u62df\u9ed1\u76d2\u573a\u666f\u4e0b\u653b\u51fb\u591a\u4e2a\u6df1\u5ea6\u4f2a\u9020\u6a21\u578b\uff0c\u63d0\u9ad8\u5bf9\u6297\u6837\u672c\u7684\u653b\u51fb\u6027\u548c\u8fc1\u79fb\u6027\u3002\u5728\u5e38\u7528\u6df1\u5ea6\u4f2a\u9020\u6570\u636e\u96c6CelebA\u548cLFW\u8fdb\u884c\u4e86\u8bad\u7ec3\u548c\u6d4b\u8bd5\uff0c\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u76f8\u6bd4\u73b0\u6709\u4e3b\u52a8\u9632\u5fa1\u65b9\u6cd5\uff0c\u672c\u6587\u5728\u5b9e\u73b0\u8de8\u6a21\u578b\u4e3b\u52a8\u9632\u5fa1\u7684\u57fa\u7840\u4e0a\uff0c\u9632\u5fa1\u6210\u529f\u7387\u8fbe\u523085%\u4ee5\u4e0a\uff0c\u5e76\u4e14\u5bf9\u6297\u6837\u672c\u751f\u6210\u6548\u7387\u6bd4\u4f20\u7edf\u7b97\u6cd5\u63d0\u9ad820\uff5e30\u500d\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u5bf9\u6297\u6837\u672c\u653b\u51fb\u7814\u7a76",
|
||||||
|
"authors": [
|
||||||
|
"\u5f20\u5b66\u519b1",
|
||||||
|
"\u5e2d\u963f\u53cb1",
|
||||||
|
"\u52a0\u5c0f\u7ea21",
|
||||||
|
"\u5f20\u658c1",
|
||||||
|
"\u674e\u68851",
|
||||||
|
"\u675c\u6653\u521a2",
|
||||||
|
"\u9ec4\u6d77\u71d51"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u5170\u5dde\u4ea4\u901a\u5927\u5b66\u7535\u5b50\u4e0e\u4fe1\u606f\u5de5\u7a0b\u5b66\u9662",
|
||||||
|
"2. \u9655\u897f\u79d1\u6280\u5927\u5b66\u7535\u5b50\u4fe1\u606f\u4e0e\u4eba\u5de5\u667a\u80fd\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u7cfb\u7edf\u56e0\u5176\u80fd\u591f\u6709\u6548\u62bd\u53d6RSS\u6307\u7eb9\u6570\u636e\u7684\u6df1\u5c42\u7279\u5f81\u800c\u5927\u5e45\u63d0\u9ad8\u4e86\u5ba4\u5185\u5b9a\u4f4d\u6027\u80fd\uff0c\u4f46\u8be5\u7c7b\u65b9\u6cd5\u9700\u8981\u5927\u91cf\u3001\u591a\u6837\u5316\u7684RSS\u6307\u7eb9\u6570\u636e\u8bad\u7ec3\u6a21\u578b\uff0c\u5e76\u4e14\u5bf9\u5176\u5b89\u5168\u6f0f\u6d1e\u4e5f\u7f3a\u4e4f\u5145\u5206\u7684\u7814\u7a76\uff0c\u8fd9\u4e9b\u5b89\u5168\u6f0f\u6d1e\u6e90\u4e8e\u65e0\u7ebfWi-Fi\u5a92\u4f53\u7684\u5f00\u653e\u6027\u548c\u5206\u7c7b\u5668\u7684\u56fa\u6709\u7f3a\u9677\uff08\u5982\u6613\u906d\u53d7\u5bf9\u6297\u6027\u653b\u51fb\u7b49\uff09\u3002\u4e3a\u6b64\uff0c\u5bf9\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684RSS\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u7cfb\u7edf\u7684\u5bf9\u6297\u6027\u653b\u51fb\u8fdb\u884c\u7814\u7a76\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8eWi-Fi\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u7684\u5bf9\u6297\u6837\u672c\u653b\u51fb\u6846\u67b6\uff0c\u5e76\u5229\u7528\u8be5\u6846\u67b6\u7814\u7a76\u4e86\u5bf9\u6297\u653b\u51fb\u5bf9\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684RSS\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u6a21\u578b\u6027\u80fd\u7684\u5f71\u54cd\u3002\u8be5\u6846\u67b6\u5305\u542b\u79bb\u7ebf\u8bad\u7ec3\u548c\u5728\u7ebf\u5b9a\u4f4d\u4e24\u4e2a\u9636\u6bb5\uff0c\u5728\u79bb\u7ebf\u8bad\u7ec3\u9636\u6bb5\uff0c\u8bbe\u8ba1\u9002\u7528\u4e8e\u589e\u5e7fWi-Fi RSS\u6307\u7eb9\u6570\u636e\u7684\u6761\u4ef6\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08CGAN\uff09\u6765\u751f\u6210\u5927\u91cf\u3001\u591a\u6837\u5316\u7684RSS\u6307\u7eb9\u6570\u636e\u8bad\u7ec3\u9ad8\u9c81\u68d2\u7684\u5ba4\u5185\u5b9a\u4f4d\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff1b\u5728\u7ebf\u5b9a\u4f4d\u9636\u6bb5\uff0c\u6784\u9020\u6700\u5f3a\u7684\u4e00\u9636\u653b\u51fb\u7b56\u7565\u6765\u751f\u6210\u9488\u5bf9Wi-Fi RSS\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u7cfb\u7edf\u7684\u6709\u6548RSS\u5bf9\u6297\u6837\u672c\uff0c\u7814\u7a76\u5bf9\u6297\u653b\u51fb\u5bf9\u4e0d\u540c\u5ba4\u5185\u5b9a\u4f4d\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u6027\u80fd\u7684\u5f71\u54cd\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff1a\u5728\u516c\u5f00UJIIndoorLoc\u6570\u636e\u96c6\u4e0a\uff0c\u7531\u6240\u63d0\u6846\u67b6\u751f\u6210\u7684RSS\u6307\u7eb9\u5bf9\u6297\u6837\u672c\u5bf9\u73b0\u6709\u7684CNN\u3001DNN\u3001MLP\u3001pixeldp\uff3fCNN\u7684\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u6a21\u578b\u7684\u653b\u51fb\u6210\u529f\u7387\u5206\u522b\u8fbe\u523094.1%\uff0c63.75%\uff0c43.45%\uff0c72.5%\uff1b\u800c\u4e14\uff0c\u5bf9\u7531CGAN\u7f51\u7edc\u589e\u5e7f\u6570\u636e\u8bad\u7ec3\u7684\u4e0a\u8ff0\u56db\u79cd\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u6a21\u578b\u7684\u653b\u51fb\u6210\u529f\u7387\u4ecd\u5206\u522b\u8fbe\u5230\u4e8684.95%\uff0c44.8%\uff0c15.7%\uff0c11.5%\uff1b\u56e0\u6b64\uff0c\u73b0\u6709\u7684\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6307\u7eb9\u5ba4\u5185\u5b9a\u4f4d\u6a21\u578b\u6613\u906d\u53d7\u5bf9\u6297\u6837\u672c\u653b\u51fb\u7684\u5f71\u54cd\uff0c\u7531\u771f\u5b9e\u6570\u636e\u548c\u589e\u5e7f\u6570\u636e\u6df7\u5408\u8bad\u7ec3\u7684\u5ba4\u5185\u5b9a\u4f4d\u6a21\u578b\u5728\u9762\u4e34\u5bf9\u6297\u6837\u672c\u653b\u51fb\u65f6\u5177\u6709\u66f4\u597d\u7684\u9c81\u68d2\u6027\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8eGAN\u7684\u65e0\u6570\u636e\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u8d75\u6069\u6d69",
|
||||||
|
"\u51cc\u6377"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u5bf9\u6297\u6837\u672c\u80fd\u591f\u4f7f\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u4ee5\u9ad8\u7f6e\u4fe1\u5ea6\u8f93\u51fa\u9519\u8bef\u7684\u7ed3\u679c\u3002\u5728\u9ed1\u76d2\u653b\u51fb\u4e2d\uff0c\u73b0\u6709\u7684\u66ff\u4ee3\u6a21\u578b\u8bad\u7ec3\u65b9\u6cd5\u9700\u8981\u76ee\u6807\u6a21\u578b\u5168\u90e8\u6216\u90e8\u5206\u8bad\u7ec3\u6570\u636e\u624d\u80fd\u53d6\u5f97\u8f83\u597d\u7684\u653b\u51fb\u6548\u679c\uff0c\u4f46\u5b9e\u9645\u5e94\u7528\u4e2d\u76ee\u6807\u6a21\u578b\u7684\u8bad\u7ec3\u6570\u636e\u96be\u4ee5\u83b7\u53d6\u3002\u56e0\u6b64\uff0c\u6587\u4e2d\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8eGAN\u7684\u65e0\u6570\u636e\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u3002\u65e0\u9700\u76ee\u6807\u6a21\u578b\u7684\u8bad\u7ec3\u6570\u636e\uff0c\u4f7f\u7528\u6df7\u5408\u6807\u7b7e\u4fe1\u606f\u7684\u566a\u58f0\u751f\u6210\u66ff\u4ee3\u6a21\u578b\u6240\u9700\u7684\u8bad\u7ec3\u6837\u672c\uff0c\u901a\u8fc7\u76ee\u6807\u6a21\u578b\u7684\u6807\u8bb0\u4fe1\u606f\u4ee5\u53ca\u591a\u6837\u5316\u635f\u5931\u51fd\u6570\u4f7f\u8bad\u7ec3\u6837\u672c\u5206\u5e03\u5747\u5300\u4e14\u5305\u542b\u66f4\u591a\u7279\u5f81\u4fe1\u606f\uff0c\u8fdb\u800c\u4f7f\u66ff\u4ee3\u6a21\u578b\u9ad8\u6548\u5b66\u4e60\u76ee\u6807\u6a21\u578b\u7684\u5206\u7c7b\u529f\u80fd\u3002\u5bf9\u6bd4DaST\u548cMAZE\uff0c\u6587\u4e2d\u65b9\u6cd5\u5728\u964d\u4f4e35%-60%\u7684\u5bf9\u6297\u6270\u52a8\u548c\u67e5\u8be2\u6b21\u6570\u7684\u540c\u65f6\u5bf9CIFAR-100\u3001CIFAR-10\u3001SVHN\u3001FMNIST\u3001MNIST\u4e94\u4e2a\u6570\u636e\u96c6\u7684FGSM\u3001BIM\u3001PGD\u4e09\u79cd\u653b\u51fb\u7684\u6210\u529f\u7387\u5e73\u5747\u63d0\u9ad86%-10%\u3002\u5e76\u4e14\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u9ed1\u76d2\u6a21\u578b\u573a\u666fMicrosoft Azure\u53d6\u5f9778%\u4ee5\u4e0a\u7684\u653b\u51fb\u6210\u529f\u7387\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9762\u5411\u9c81\u68d2\u56fe\u7ed3\u6784\u9632\u5fa1\u7684\u8fc7\u53c2\u6570\u5316\u56fe\u795e\u7ecf\u7f51\u7edc",
|
||||||
|
"authors": [
|
||||||
|
"\u521d\u65ed1",
|
||||||
|
"\u9a6c\u8f9b\u5b872,3",
|
||||||
|
"\u6797\u96332,3",
|
||||||
|
"\u738b\u946b1,4",
|
||||||
|
"\u738b\u4e9a\u6c993,5",
|
||||||
|
"\u6731\u6587\u6b661,4",
|
||||||
|
"\u6885\u5b8f3"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u7cfb",
|
||||||
|
"2. \u5317\u4eac\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662",
|
||||||
|
"3. \u9ad8\u53ef\u4fe1\u8f6f\u4ef6\u6280\u672f\u6559\u80b2\u90e8\u91cd\u70b9\u5b9e\u9a8c\u5ba4(\u5317\u4eac\u5927\u5b66)",
|
||||||
|
"4. \u6e05\u534e\u5927\u5b66\u5317\u4eac\u4fe1\u606f\u79d1\u5b66\u4e0e\u6280\u672f\u56fd\u5bb6\u7814\u7a76\u4e2d\u5fc3",
|
||||||
|
"5. \u5317\u4eac\u5927\u5b66\u8f6f\u4ef6\u5de5\u7a0b\u56fd\u5bb6\u5de5\u7a0b\u4e2d\u5fc3"
|
||||||
|
],
|
||||||
|
"abstract": "\u56fe\u6570\u636e\u5728\u73b0\u5b9e\u5e94\u7528\u4e2d\u666e\u904d\u5b58\u5728,\u56fe\u795e\u7ecf\u7f51\u7edc(GNN)\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5206\u6790\u56fe\u6570\u636e,\u7136\u800cGNN\u7684\u6027\u80fd\u4f1a\u88ab\u56fe\u7ed3\u6784\u4e0a\u7684\u5bf9\u6297\u653b\u51fb\u5267\u70c8\u5f71\u54cd.\u5e94\u5bf9\u56fe\u7ed3\u6784\u4e0a\u7684\u5bf9\u6297\u653b\u51fb,\u73b0\u6709\u7684\u9632\u5fa1\u65b9\u6cd5\u4e00\u822c\u57fa\u4e8e\u56fe\u5185\u805a\u5148\u9a8c\u8fdb\u884c\u4f4e\u79e9\u56fe\u7ed3\u6784\u91cd\u6784.\u4f46\u662f\u73b0\u6709\u7684\u56fe\u7ed3\u6784\u5bf9\u6297\u9632\u5fa1\u65b9\u6cd5\u65e0\u6cd5\u81ea\u9002\u5e94\u79e9\u771f\u503c\u8fdb\u884c\u4f4e\u79e9\u56fe\u7ed3\u6784\u91cd\u6784,\u540c\u65f6\u4f4e\u79e9\u56fe\u7ed3\u6784\u4e0e\u4e0b\u6e38\u4efb\u52a1\u8bed\u4e49\u5b58\u5728\u9519\u914d.\u4e3a\u4e86\u89e3\u51b3\u4ee5\u4e0a\u95ee\u9898,\u57fa\u4e8e\u8fc7\u53c2\u6570\u5316\u7684\u9690\u5f0f\u6b63\u5219\u6548\u5e94\u63d0\u51fa\u8fc7\u53c2\u6570\u5316\u56fe\u795e\u7ecf\u7f51\u7edc(OPGNN)\u65b9\u6cd5,\u5e76\u5f62\u5f0f\u5316\u8bc1\u660e\u6240\u63d0\u65b9\u6cd5\u53ef\u4ee5\u81ea\u9002\u5e94\u6c42\u89e3\u4f4e\u79e9\u56fe\u7ed3\u6784,\u540c\u65f6\u8bc1\u660e\u8282\u70b9\u6df1\u5c42\u8868\u5f81\u4e0a\u7684\u8fc7\u53c2\u6570\u5316\u6b8b\u5dee\u94fe\u63a5\u53ef\u4ee5\u6709\u6548\u89e3\u51b3\u8bed\u4e49\u9519\u914d.\u5728\u771f\u5b9e\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e, OPGNN\u65b9\u6cd5\u76f8\u5bf9\u4e8e\u73b0\u6709\u57fa\u7ebf\u65b9\u6cd5\u5177\u6709\u66f4\u597d\u7684\u9c81\u68d2\u6027,\u540c\u65f6, OPGNN\u65b9\u6cd5\u6846\u67b6\u5728\u4e0d\u540c\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u9aa8\u5e72\u4e0a\u5982GCN\u3001APPNP\u548cGPRGNN\u4e0a\u663e\u8457\u6709\u6548."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u751f\u6210\u5f0f\u81ea\u76d1\u7763\u5b66\u4e60\u7684\u5bf9\u6297\u6837\u672c\u5206\u7c7b\u7b97\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u9633\u5e061",
|
||||||
|
"\u9b4f\u5baa2,3",
|
||||||
|
"\u90ed\u6770\u9f992,3",
|
||||||
|
"\u90d1\u5efa\u6f332,3",
|
||||||
|
"\u5170\u6d772"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u798f\u5dde\u5927\u5b66\u5148\u8fdb\u5236\u9020\u5b66\u9662",
|
||||||
|
"2. \u4e2d\u56fd\u79d1\u5b66\u9662\u798f\u5efa\u7269\u8d28\u7ed3\u6784\u7814\u7a76\u6240",
|
||||||
|
"3. \u4e2d\u56fd\u79d1\u5b66\u9662\u6d77\u897f\u7814\u7a76\u9662\u6cc9\u5dde\u88c5\u5907\u5236\u9020\u7814\u7a76\u4e2d\u5fc3"
|
||||||
|
],
|
||||||
|
"abstract": "\u5bf9\u6297\u6837\u672c\u5e38\u5e38\u88ab\u89c6\u4e3a\u5bf9\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u9c81\u68d2\u6027\u7684\u5a01\u80c1\uff0c\u800c\u73b0\u6709\u5bf9\u6297\u8bad\u7ec3\u5f80\u5f80\u4f1a\u964d\u4f4e\u5206\u7c7b\u7f51\u7edc\u7684\u6cdb\u5316\u7cbe\u5ea6\uff0c\u5bfc\u81f4\u5176\u5bf9\u539f\u59cb\u6837\u672c\u7684\u5206\u7c7b\u6548\u679c\u964d\u4f4e\u3002\u56e0\u6b64\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u751f\u6210\u5f0f\u81ea\u76d1\u7763\u5b66\u4e60\u7684\u5bf9\u6297\u6837\u672c\u5206\u7c7b\u7b97\u6cd5\uff0c\u901a\u8fc7\u81ea\u76d1\u7763\u5b66\u4e60\u8bad\u7ec3\u751f\u6210\u5f0f\u6a21\u578b\u83b7\u53d6\u56fe\u50cf\u6570\u636e\u6f5c\u5728\u7279\u5f81\u7684\u80fd\u529b\uff0c\u5e76\u57fa\u4e8e\u8be5\u6a21\u578b\u5b9e\u73b0\u5bf9\u6297\u6837\u672c\u7684\u7279\u5f81\u7b5b\u9009\uff0c\u800c\u540e\u5c06\u5176\u4e2d\u6709\u76ca\u5206\u7c7b\u7684\u4fe1\u606f\u53cd\u9988\u7ed9\u5206\u7c7b\u6a21\u578b\u3002\u6700\u540e\u8fdb\u884c\u8054\u5408\u5b66\u4e60\uff0c\u5b8c\u6210\u7aef\u5230\u7aef\u7684\u5168\u5c40\u8bad\u7ec3\uff0c\u8fdb\u4e00\u6b65\u5b9e\u73b0\u5206\u7c7b\u6a21\u578b\u6cdb\u5316\u7cbe\u5ea6\u7684\u63d0\u5347\u3002\u5728MNIST\u3001CIFAR10\u548cCIFAR100\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u4e0e\u6807\u51c6\u8bad\u7ec3\u76f8\u6bd4\uff0c\u8be5\u7b97\u6cd5\u5c06\u5206\u7c7b\u7cbe\u5ea6\u5206\u522b\u63d0\u9ad8\u4e860.06%\u30011.34%\u30010.89%\uff0c\u8fbe\u523099.70%\u300184.34%\u300163.65%\u3002\u7ed3\u679c\u8bc1\u660e\uff0c\u8be5\u7b97\u6cd5\u514b\u670d\u4e86\u4f20\u7edf\u5bf9\u6297\u8bad\u7ec3\u964d\u4f4e\u6a21\u578b\u6cdb\u5316\u6027\u80fd\u7684\u56fa\u6709\u7f3a\u70b9\uff0c\u5e76\u8fdb\u4e00\u6b65\u63d0\u9ad8\u4e86\u5206\u7c7b\u7f51\u7edc\u7684\u7cbe\u5ea6\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u65f6\u9891\u5206\u533a\u6270\u52a8\u5b9e\u73b0\u97f3\u9891\u5206\u7c7b\u5bf9\u6297\u6837\u672c\u751f\u6210",
|
||||||
|
"authors": [
|
||||||
|
"\u5f20\u96c4\u4f1f",
|
||||||
|
"\u5f20\u5f3a",
|
||||||
|
"\u6768\u5409\u658c",
|
||||||
|
"\u5b59\u8499",
|
||||||
|
"\u674e\u6bc5\u8c6a"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u9646\u519b\u5de5\u7a0b\u5927\u5b66\u6307\u6325\u63a7\u5236\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u73b0\u6709\u65b9\u6cd5\u751f\u6210\u7684\u97f3\u9891\u5206\u7c7b\u5bf9\u6297\u6837\u672c(adversarial example, AE)\u653b\u51fb\u6210\u529f\u7387\u4f4e\uff0c\u6613\u88ab\u611f\u77e5\u3002\u9274\u4e8e\u6b64\uff0c\u8bbe\u8ba1\u4e86\u4e00\u79cd\u57fa\u4e8e\u65f6\u9891\u5206\u533a\u6270\u52a8(time-frequency partitioned perturbation, TFPP)\u7684\u97f3\u9891AE\u751f\u6210\u6846\u67b6\u3002\u97f3\u9891\u4fe1\u53f7\u7684\u5e45\u5ea6\u8c31\u6839\u636e\u65f6\u9891\u7279\u6027\u88ab\u5212\u5206\u4e3a\u5173\u952e\u548c\u975e\u5173\u952e\u533a\u57df\uff0c\u5e76\u751f\u6210\u76f8\u5e94\u7684\u5bf9\u6297\u6270\u52a8\u3002\u5728TFPP\u57fa\u7840\u4e0a\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u751f\u6210\u5bf9\u6297\u7f51\u7edc(generative adversarial network, GAN)\u7684AE\u751f\u6210\u65b9\u6cd5TFPPGAN,\u4ee5\u5206\u533a\u5e45\u5ea6\u8c31\u4e3a\u8f93\u5165\uff0c\u901a\u8fc7\u5bf9\u6297\u8bad\u7ec3\u81ea\u9002\u5e94\u8c03\u6574\u6270\u52a8\u7ea6\u675f\u7cfb\u6570\uff0c\u540c\u65f6\u4f18\u5316\u5173\u952e\u548c\u975e\u5173\u952e\u533a\u57df\u7684\u6270\u52a8\u30023\u4e2a\u5178\u578b\u97f3\u9891\u5206\u7c7b\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u8868\u660e\uff0c\u4e0e\u57fa\u7ebf\u65b9\u6cd5\u76f8\u6bd4\uff0cTFPPGAN\u53ef\u5c06AE\u7684\u653b\u51fb\u6210\u529f\u7387\u3001\u4fe1\u566a\u6bd4\u5206\u522b\u63d0\u9ad84.7%\u548c5.5 dB,\u5c06\u751f\u6210\u7684\u8bed\u97f3\u5bf9\u6297\u6837\u672c\u7684\u8d28\u91cf\u611f\u77e5\u8bc4\u4ef7\u5f97\u5206\u63d0\u9ad80.15\u3002\u6b64\u5916\uff0c\u7406\u8bba\u5206\u6790\u4e86TFPP\u6846\u67b6\u4e0e\u5176\u4ed6\u653b\u51fb\u65b9\u6cd5\u76f8\u7ed3\u5408\u7684\u53ef\u884c\u6027\uff0c\u5e76\u901a\u8fc7\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u8fd9\u79cd\u7ed3\u5408\u7684\u6709\u6548\u6027\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u635f\u5931\u5e73\u6ed1\u7684\u5bf9\u6297\u6837\u672c\u653b\u51fb\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u9ece\u59b9\u7ea21,2",
|
||||||
|
"\u91d1\u53cc1,2",
|
||||||
|
"\u675c\u66541,2"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u5317\u4eac\u4ea4\u901a\u5927\u5b66\u667a\u80fd\u4ea4\u901a\u6570\u636e\u5b89\u5168\u4e0e\u9690\u79c1\u4fdd\u62a4\u6280\u672f\u5317\u4eac\u5e02\u91cd\u70b9\u5b9e\u9a8c\u5ba4",
|
||||||
|
"2. \u5317\u4eac\u4ea4\u901a\u5927\u5b66\u8ba1\u7b97\u673a\u4e0e\u4fe1\u606f\u6280\u672f\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc(DNNs)\u5bb9\u6613\u53d7\u5230\u5bf9\u6297\u6837\u672c\u7684\u653b\u51fb\uff0c\u73b0\u6709\u57fa\u4e8e\u52a8\u91cf\u7684\u5bf9\u6297\u6837\u672c\u751f\u6210\u65b9\u6cd5\u867d\u7136\u53ef\u4ee5\u8fbe\u5230\u63a5\u8fd1100%\u7684\u767d\u76d2\u653b\u51fb\u6210\u529f\u7387\uff0c\u4f46\u662f\u5728\u653b\u51fb\u5176\u4ed6\u6a21\u578b\u65f6\u6548\u679c\u4ecd\u4e0d\u7406\u60f3\uff0c\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u8f83\u4f4e\u3002\u9488\u5bf9\u6b64\uff0c\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8e\u635f\u5931\u5e73\u6ed1\u7684\u5bf9\u6297\u6837\u672c\u653b\u51fb\u65b9\u6cd5\u6765\u63d0\u9ad8\u5bf9\u6297\u6837\u672c\u7684\u53ef\u8fc1\u79fb\u6027\u3002\u5728\u6bcf\u4e00\u6b65\u8ba1\u7b97\u68af\u5ea6\u7684\u8fed\u4ee3\u8fc7\u7a0b\u4e2d\uff0c\u4e0d\u76f4\u63a5\u4f7f\u7528\u5f53\u524d\u68af\u5ea6\uff0c\u800c\u662f\u4f7f\u7528\u5c40\u90e8\u5e73\u5747\u68af\u5ea6\u6765\u7d2f\u79ef\u52a8\u91cf\uff0c\u4ee5\u6b64\u6765\u6291\u5236\u635f\u5931\u51fd\u6570\u66f2\u9762\u5b58\u5728\u7684\u5c40\u90e8\u632f\u8361\u73b0\u8c61\uff0c\u4ece\u800c\u7a33\u5b9a\u66f4\u65b0\u65b9\u5411\uff0c\u9003\u79bb\u5c40\u90e8\u6781\u503c\u70b9\u3002\u5728ImageNet\u6570\u636e\u96c6\u4e0a\u7684\u5927\u91cf\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff1a\u6240\u63d0\u65b9\u6cd5\u4e0e\u73b0\u6709\u57fa\u4e8e\u52a8\u91cf\u7684\u65b9\u6cd5\u76f8\u6bd4\uff0c\u5728\u5355\u4e2a\u6a21\u578b\u653b\u51fb\u5b9e\u9a8c\u4e2d\u7684\u5e73\u5747\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u5206\u522b\u63d0\u5347\u4e8638.07%\u548c27.77%\uff0c\u5728\u96c6\u6210\u6a21\u578b\u653b\u51fb\u5b9e\u9a8c\u4e2d\u7684\u5e73\u5747\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u5206\u522b\u63d0\u5347\u4e8632.50%\u548c28.63%\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u56fe\u50cf\u5185\u5bb9\u7cbe\u7ec6\u5316\u611f\u77e5\u53ca\u5176\u5b89\u5168\u5173\u952e\u6280\u672f\u7814\u7a76",
|
||||||
|
"authors": [
|
||||||
|
"\u738b\u854a1,2",
|
||||||
|
"\u8346\u4e3d\u68661,2",
|
||||||
|
"\u90b9\u806a1,2",
|
||||||
|
"\u5415\u98de\u97041,2",
|
||||||
|
"\u6731\u5b50\u74871,2"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u4e2d\u56fd\u79d1\u5b66\u9662\u4fe1\u606f\u5de5\u7a0b\u7814\u7a76\u6240",
|
||||||
|
"2. \u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\u7f51\u7edc\u7a7a\u95f4\u5b89\u5168\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u56fe\u50cf\u5185\u5bb9\u7cbe\u7ec6\u5316\u611f\u77e5\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u5185\u7684\u4e00\u4e2a\u57fa\u7840\u6027\u95ee\u9898,\u65e8\u5728\u5bf9\u56fe\u50cf\u4e2d\u5305\u542b\u7684\u4fe1\u606f\u8fdb\u884c\u7cbe\u7ec6\u5316\u7406\u89e3,\u5177\u6709\u91cd\u8981\u7684\u7814\u7a76\u4ef7\u503c\u548c\u5e7f\u9614\u7684\u5e94\u7528\u573a\u666f\u3002\u6839\u636e\u5173\u6ce8\u8303\u56f4\u7684\u4e0d\u540c,\u56fe\u50cf\u5185\u5bb9\u7cbe\u7ec6\u5316\u611f\u77e5\u4e3b\u8981\u5305\u62ec\u7ec6\u7c92\u5ea6\u8bc6\u522b\u3001\u573a\u666f\u56fe\u751f\u6210\u548c\u56fe\u50cf\u63cf\u8ff0\u7b49\u65b9\u9762\u3002\u672c\u6587\u9996\u5148\u5bf9\u5404\u5173\u952e\u6280\u672f\u7684\u7814\u7a76\u8fdb\u5c55\u548c\u73b0\u72b6\u8fdb\u884c\u7efc\u8ff0;\u7136\u540e\u8ba8\u8bba\u4e86\u76f4\u63a5\u5f71\u54cd\u611f\u77e5\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u7684\u5b89\u5168\u5a01\u80c1,\u6982\u8ff0\u4e86\u76f8\u5173\u653b\u51fb\u53ca\u9632\u5fa1\u6280\u672f\u7684\u7814\u7a76\u8fdb\u5c55;\u6700\u540e\u5bf9\u8be5\u9886\u57df\u7684\u672a\u6765\u53d1\u5c55\u8d8b\u52bf\u4f5c\u51fa\u5c55\u671b\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u878d\u5408\u7f16\u7801\u53ca\u5bf9\u6297\u653b\u51fb\u7684\u5143\u8def\u5f84\u805a\u5408\u56fe\u795e\u7ecf\u7f51\u7edc",
|
||||||
|
"authors": [
|
||||||
|
"\u9648\u5b66\u521a1",
|
||||||
|
"\u59dc\u5f81\u548c2",
|
||||||
|
"\u674e\u4f73\u73893"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u534e\u5317\u7535\u529b\u5927\u5b66\u6570\u7406\u5b66\u9662",
|
||||||
|
"2. \u667a\u8005\u56db\u6d77(\u5317\u4eac)\u6280\u672f\u6709\u9650\u516c\u53f8",
|
||||||
|
"3. \u534e\u5317\u7535\u529b\u5927\u5b66\u63a7\u5236\u4e0e\u8ba1\u7b97\u673a\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u5f02\u8d28\u4fe1\u606f\u7f51\u7edc\uff08HIN\uff09\u7531\u4e8e\u5305\u542b\u4e0d\u540c\u7c7b\u578b\u7684\u8282\u70b9\u548c\u8fb9\uff0c \u5728\u5b9e\u9645\u95ee\u9898\u4e2d\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u524d\u666f. HIN \u7684\u8868\u793a\u5b66\u4e60\u6a21\u578b\u65e8\u5728\u5bfb\u627e\u4e00\u79cd\u6709\u6548\u7684\u5efa\u6a21\u65b9\u6cd5\uff0c \u5c06 HIN \u4e2d\u7684\u8282\u70b9\u8868\u793a\u4e3a\u4f4e\u7ef4\u5411\u91cf\uff0c \u5e76\u5c3d\u53ef\u80fd\u5730\u4fdd\u7559\u7f51\u7edc\u4e2d\u7684\u5f02\u8d28\u4fe1\u606f. \u7136\u800c\uff0c \u73b0\u6709\u7684\u8868\u793a\u5b66\u4e60\u6a21\u578b\u4ecd\u5b58\u5728\u7740\u5bf9\u5f02\u8d28\u4fe1\u606f\u5229\u7528\u4e0d\u5145\u5206\u7684\u60c5\u51b5. \u4e3a\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c \u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u878d\u5408\u7f16\u7801\u548c\u5bf9\u6297\u653b\u51fb\u7684\u5143\u8def\u5f84\u805a\u5408\u56fe\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff08FAMAGNN\uff09\uff0c \u8be5\u6a21\u578b\u7531\u4e09\u4e2a\u6a21\u5757\u6784\u6210\uff0c \u5206\u522b\u662f\u8282\u70b9\u5185\u5bb9\u8f6c\u6362\u3001\u5143\u8def\u5f84\u5185\u805a\u5408\u548c\u5143\u8def\u5f84\u95f4\u805a\u5408. \u8be5\u6a21\u578b\u65e8\u5728\u89e3\u51b3\u73b0\u6709 HIN \u8868\u793a\u5b66\u4e60\u65b9\u6cd5\u63d0\u53d6\u7279\u5f81\u4e0d\u5145\u5206\u7684\u95ee\u9898. \u540c\u65f6\uff0c FAMAGNN\u5f15\u5165\u4e86\u878d\u5408\u7684\u5143\u8def\u5f84\u5b9e\u4f8b\u7f16\u7801\u5668\uff0c \u4ee5\u63d0\u53d6 HIN \u4e2d\u4e30\u5bcc\u7684\u7ed3\u6784\u548c\u8bed\u4e49\u4fe1\u606f. \u6b64\u5916\uff0c \u6a21\u578b\u8fd8\u5f15\u5165\u4e86\u5bf9\u6297\u8bad\u7ec3\uff0c \u5728\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u8fdb\u884c\u5bf9\u6297\u653b\u51fb\uff0c \u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u9c81\u68d2\u6027. FAMAGNN \u5728\u8282\u70b9\u5206\u7c7b\u548c\u8282\u70b9\u805a\u7c7b\u7b49\u4e0b\u6e38\u4efb\u52a1\u4e2d\u7684\u4f18\u5f02\u8868\u73b0\u8bc1\u660e\u4e86\u5176\u6709\u6548\u6027."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9762\u5411\u7f51\u7edc\u5165\u4fb5\u68c0\u6d4b\u7684\u5bf9\u6297\u653b\u51fb\u7cfb\u7edf",
|
||||||
|
"authors": [
|
||||||
|
"\u6f58\u5b87\u6052",
|
||||||
|
"\u5ed6\u601d\u8d24",
|
||||||
|
"\u6768\u671d\u4fca",
|
||||||
|
"\u674e\u5b97\u548c",
|
||||||
|
"\u4e8e\u5a77\u5a77",
|
||||||
|
"\u5f20\u745e\u971e"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66"
|
||||||
|
],
|
||||||
|
"abstract": "\u8be5\u9879\u76ee\u7814\u7a76\u591a\u79cd\u767d\u76d2\u653b\u51fb\u7b97\u6cd5\u751f\u6210\u767d\u76d2\u5bf9\u6297\u6837\u672c\u7684\u6548\u7387\uff0c\u540c\u65f6\u8fd0\u7528\u751f\u6210\u5bf9\u6297\u7f51\u7edc(GAN)\u6280\u672f\u6765\u751f\u6210\u9ed1\u76d2\u5bf9\u6297\u6837\u672c\uff0c\u5e76\u4e14\u901a\u8fc7\u6784\u5efa\u7f51\u7edc\u5165\u4fb5\u68c0\u6d4b\u6a21\u578b\u5305\u62ec\u8bef\u7528\u68c0\u6d4b\u548c\u5f02\u5e38\u68c0\u6d4b\u6a21\u578b\uff0c\u6765\u6d4b\u8bd5\u8fd9\u4e9b\u751f\u6210\u7684\u5bf9\u6297\u6837\u672c\u5728\u9762\u5bf9\u591a\u79cd\u4e0d\u540c\u5165\u4fb5\u68c0\u6d4b\u6a21\u578b\u65f6\u7684\u653b\u51fb\u7684\u6210\u529f\u7387,\u6700\u7ec8\u6784\u5efa\u4e00\u4e2a\u7f51\u7edc\u5165\u4fb5\u68c0\u6d4b\u7cfb\u7edf\u7684\u5bf9\u6297\u6837\u672c\u751f\u6210\u5668\uff08\u5305\u542b\u767d\u76d2\u548c\u9ed1\u76d2\u5bf9\u6297\u6837\u672c\uff09\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u4eba\u8138\u6df1\u5ea6\u4f2a\u9020\u4e3b\u52a8\u9632\u5fa1\u6280\u672f\u7efc\u8ff0",
|
||||||
|
"authors": [
|
||||||
|
"\u77bf\u5de6\u73c9",
|
||||||
|
"\u6bb7\u742a\u6797",
|
||||||
|
"\u76db\u7d2b\u7426",
|
||||||
|
"\u5434\u4fca\u5f66",
|
||||||
|
"\u5f20\u535a\u6797",
|
||||||
|
"\u4f59\u5c1a\u620e",
|
||||||
|
"\u5362\u4f1f"
|
||||||
|
],
|
||||||
|
"affiliations": [],
|
||||||
|
"abstract": "\u6df1\u5ea6\u751f\u6210\u6a21\u578b\u7684\u98de\u901f\u53d1\u5c55\u63a8\u52a8\u4e86\u4eba\u8138\u6df1\u5ea6\u4f2a\u9020\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u4ee5Deepfake\u4e3a\u4ee3\u8868\u7684\u6df1\u5ea6\u4f2a\u9020\u6a21\u578b\u4e5f\u5f97\u5230\u4e86\u5341\u5206\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u6df1\u5ea6\u4f2a\u9020\u6280\u672f\u53ef\u4ee5\u5bf9\u4eba\u8138\u56fe\u50cf\u6216\u89c6\u9891\u8fdb\u884c\u6709\u76ee\u7684\u7684\u64cd\u7eb5\uff0c\u4e00\u65b9\u9762\uff0c\u8fd9\u79cd\u6280\u672f\u5e7f\u6cdb\u5e94\u7528\u4e8e\u7535\u5f71\u7279\u6548\u3001\u5a31\u4e50\u573a\u666f\u4e2d\uff0c\u4e30\u5bcc\u4e86\u4eba\u4eec\u7684\u5a31\u4e50\u751f\u6d3b\uff0c\u4fc3\u8fdb\u4e86\u4e92\u8054\u7f51\u591a\u5a92\u4f53\u7684\u4f20\u64ad\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u6df1\u5ea6\u4f2a\u9020\u4e5f\u5e94\u7528\u4e8e\u4e00\u4e9b\u53ef\u80fd\u9020\u6210\u4e0d\u826f\u5f71\u54cd\u7684\u573a\u666f\uff0c\u7ed9\u516c\u6c11\u7684\u540d\u8a89\u6743\u3001\u8096\u50cf\u6743\u9020\u6210\u4e86\u5371\u5bb3\uff0c\u540c\u65f6\u4e5f\u7ed9\u56fd\u5bb6\u5b89\u5168\u548c\u793e\u4f1a\u7a33\u5b9a\u5e26\u6765\u4e86\u6781\u5927\u7684\u5a01\u80c1\uff0c\u56e0\u6b64\u5bf9\u6df1\u5ea6\u4f2a\u9020\u9632\u5fa1\u6280\u672f\u7684\u7814\u7a76\u65e5\u76ca\u8feb\u5207\u3002\u73b0\u6709\u7684\u9632\u5fa1\u6280\u672f\u4e3b\u8981\u5206\u4e3a\u88ab\u52a8\u68c0\u6d4b\u548c\u4e3b\u52a8\u9632\u5fa1\uff0c\u800c\u88ab\u52a8\u68c0\u6d4b\u7684\u65b9\u5f0f\u65e0\u6cd5\u6d88\u9664\u4f2a\u9020\u4eba\u8138\u5728\u5e7f\u6cdb\u4f20\u64ad\u4e2d\u9020\u6210\u7684\u5f71\u54cd\uff0c\u96be\u4ee5\u505a\u5230\u201c\u4e8b\u524d\u9632\u5fa1\u201d\uff0c\u56e0\u6b64\u4e3b\u52a8\u9632\u5fa1\u7684\u601d\u60f3\u5f97\u5230\u4e86\u7814\u7a76\u4eba\u5458\u7684\u5e7f\u6cdb\u5173\u6ce8\u3002\u7136\u800c\uff0c\u76ee\u524d\u5b66\u672f\u754c\u6709\u5173\u6df1\u5ea6\u4f2a\u9020\u9632\u5fa1\u7684\u7efc\u8ff0\u4e3b\u8981\u5173\u6ce8\u57fa\u4e8e\u68c0\u6d4b\u7684\u88ab\u52a8\u5f0f\u9632\u5fa1\u65b9\u6cd5\uff0c\u51e0\u4e4e\u6ca1\u6709\u4ee5\u6df1\u5ea6\u4f2a\u9020\u4e3b\u52a8\u9632\u5fa1\u6280\u672f\u4e3a\u91cd\u70b9\u7684\u7efc\u8ff0\u3002\u57fa\u4e8e\u6b64\uff0c\u672c\u6587\u5bf9\u5f53\u524d\u5b66\u672f\u754c\u63d0\u51fa\u7684\u4eba\u8138\u6df1\u5ea6\u4f2a\u9020\u4e3b\u52a8\u9632\u5fa1\u6280\u672f\u8fdb\u884c\u68b3\u7406\u3001\u603b\u7ed3\u548c\u8ba8\u8bba\u3002\u9996\u5148\u9610\u8ff0\u4e86\u6df1\u5ea6\u4f2a\u9020\u4e3b\u52a8\u9632\u5fa1\u7684\u63d0\u51fa\u80cc\u666f\u548c\u4e3b\u8981\u601d\u60f3\uff0c\u5e76\u5bf9\u73b0\u6709\u7684\u4eba\u8138\u6df1\u5ea6\u4f2a\u9020\u4e3b\u52a8\u9632\u5fa1\u7b97\u6cd5\u8fdb\u884c\u6c47\u603b\u548c\u5f52\u7c7b\uff0c\u7136\u540e\u5bf9\u5404\u7c7b\u4e3b\u52a8\u9632\u5fa1\u7b97\u6cd5\u7684\u6280\u672f\u539f\u7406\u3001\u6027\u80fd\u3001\u4f18\u7f3a\u70b9\u7b49\u8fdb\u884c\u4e86\u7cfb\u7edf\u6027\u7684\u603b\u7ed3\uff0c\u540c\u65f6\u4ecb\u7ecd\u4e86\u7814\u7a76\u5e38\u7528\u7684\u6570\u636e\u96c6\u548c\u8bc4\u4f30\u65b9\u6cd5\uff0c\u6700\u540e\u5bf9\u6df1\u5ea6\u4f2a\u9020\u4e3b\u52a8\u9632\u5fa1\u6240\u9762\u4e34\u7684\u6280\u672f\u6311\u6218\u8fdb\u884c\u4e86\u5206\u6790\uff0c\u5bf9\u5176\u672a\u6765\u7684\u53d1\u5c55\u65b9\u5411\u5c55\u5f00\u4e86\u601d\u8003\u548c\u8ba8\u8bba\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u5c40\u90e8\u6270\u52a8\u7684\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u5bf9\u6297\u653b\u51fb",
|
||||||
|
"authors": [
|
||||||
|
"\u5f20\u8000\u51431,2",
|
||||||
|
"\u539f\u7ee7\u4e1c1,2",
|
||||||
|
"\u5218\u6d77\u6d0b2",
|
||||||
|
"\u738b\u5fd7\u6d772",
|
||||||
|
"\u8d75\u57f9\u7fd42"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u4ea4\u901a\u5927\u6570\u636e\u4e0e\u4eba\u5de5\u667a\u80fd\u6559\u80b2\u90e8\u91cd\u70b9\u5b9e\u9a8c\u5ba4(\u5317\u4eac\u4ea4\u901a\u5927\u5b66)",
|
||||||
|
"2. \u5317\u4eac\u4ea4\u901a\u5927\u5b66\u8ba1\u7b97\u673a\u4e0e\u4fe1\u606f\u6280\u672f\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6a21\u578b\u5df2\u5e7f\u6cdb\u5e94\u7528\u4e8e\u65e5\u5e38\u751f\u6d3b\u4e2d\u7684\u5404\u4e2a\u884c\u4e1a,\u9488\u5bf9\u8fd9\u4e9b\u9884\u6d4b\u6a21\u578b\u7684\u5bf9\u6297\u653b\u51fb\u5173\u7cfb\u5230\u5404\u884c\u4e1a\u6570\u636e\u7684\u5b89\u5168\u6027.\u76ee\u524d,\u65f6\u95f4\u5e8f\u5217\u7684\u5bf9\u6297\u653b\u51fb\u591a\u5728\u5168\u5c40\u8303\u56f4\u5185\u8fdb\u884c\u5927\u89c4\u6a21\u6270\u52a8,\u5bfc\u81f4\u5bf9\u6297\u6837\u672c\u6613\u88ab\u611f\u77e5.\u540c\u65f6,\u5bf9\u6297\u653b\u51fb\u7684\u6548\u679c\u4f1a\u968f\u7740\u6270\u52a8\u5e45\u5ea6\u7684\u964d\u4f4e\u800c\u660e\u663e\u4e0b\u964d.\u56e0\u6b64,\u5982\u4f55\u5728\u751f\u6210\u4e0d\u6613\u5bdf\u89c9\u7684\u5bf9\u6297\u6837\u672c\u7684\u540c\u65f6\u4fdd\u6301\u8f83\u597d\u7684\u653b\u51fb\u6548\u679c,\u662f\u5f53\u524d\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u5bf9\u6297\u653b\u51fb\u9886\u57df\u4e9f\u9700\u89e3\u51b3\u7684\u95ee\u9898\u4e4b\u4e00.\u9996\u5148\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8e\u6ed1\u52a8\u7a97\u53e3\u7684\u5c40\u90e8\u6270\u52a8\u7b56\u7565,\u7f29\u5c0f\u5bf9\u6297\u6837\u672c\u7684\u6270\u52a8\u533a\u95f4;\u5176\u6b21,\u4f7f\u7528\u5dee\u5206\u8fdb\u5316\u7b97\u6cd5\u5bfb\u627e\u6700\u4f18\u653b\u51fb\u70b9\u4f4d,\u5e76\u7ed3\u5408\u5206\u6bb5\u51fd\u6570\u5206\u5272\u6270\u52a8\u533a\u95f4,\u8fdb\u4e00\u6b65\u964d\u4f4e\u6270\u52a8\u8303\u56f4,\u5b8c\u6210\u534a\u767d\u76d2\u653b\u51fb.\u548c\u5df2\u6709\u7684\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u5728\u591a\u4e2a\u4e0d\u540c\u6df1\u5ea6\u6a21\u578b\u4e0a\u7684\u5bf9\u6bd4\u5b9e\u9a8c\u8868\u660e,\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u80fd\u591f\u751f\u6210\u4e0d\u6613\u611f\u77e5\u7684\u5bf9\u6297\u6837\u672c,\u5e76\u6709\u6548\u6539\u53d8\u6a21\u578b\u7684\u9884\u6d4b\u8d8b\u52bf,\u5728\u80a1\u7968\u4ea4\u6613\u3001\u7535\u529b\u6d88\u8017\u3001\u592a\u9633\u9ed1\u5b50\u89c2\u6d4b\u548c\u6c14\u6e29\u9884\u6d4b\u8fd94\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u4e2d\u5747\u53d6\u5f97\u4e86\u8f83\u597d\u7684\u653b\u51fb\u6548\u679c."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u6587\u672c\u5bf9\u6297\u653b\u9632\u6280\u672f\u5728\u7535\u4fe1\u7f51\u7edc\u8bc8\u9a97\u9632\u63a7\u9886\u57df\u7684\u5e94\u7528\u63a2\u6790",
|
||||||
|
"authors": [
|
||||||
|
"\u6c64\u535a\u6587"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u4e2d\u56fd\u4eba\u6c11\u8b66\u5bdf\u5927\u5b66(\u5eca\u574a)"
|
||||||
|
],
|
||||||
|
"abstract": "\u968f\u7740\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6a21\u578b\u8fd1\u671f\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u201c\u51fa\u5708\u201d\uff0c\u6838\u5fc3\u6a21\u578b\u6d89\u53ca\u7684\u5bf9\u6297\u653b\u9632\u6280\u672f\u7684\u53d1\u5c55\uff0c\u9010\u6e10\u6210\u4e3a\u4e00\u628a\u201c\u53cc\u5203\u5251\u201d\uff0c\u7535\u4fe1\u7f51\u7edc\u8bc8\u9a97\u4e0e\u9632\u63a7\u9886\u57df\u53cc\u65b9\u7684\u535a\u5f08\u5bf9\u6297\u6210\u4e3a\u7814\u7a76\u70ed\u70b9\u95ee\u9898\u3002\u901a\u8fc7\u5bf9\u4e0d\u540c\u8bc8\u9a97\u7c7b\u578b\u8fdb\u884c\u5206\u6790\uff0c\u7ed3\u5408\u7535\u4fe1\u7f51\u7edc\u8bc8\u9a97\u5168\u94fe\u6761\u4e0e\u73b0\u6709\u9632\u63a7\u6a21\u578b\u7684\u95ee\u9898\uff0c\u6df1\u5165\u6316\u6398\u53cd\u8bc8\u5e73\u53f0\u6838\u5fc3\u6280\u672f\uff0c\u8bbe\u8ba1\u4e86\u9488\u5bf9\u53cd\u8bc8\u68c0\u6d4b\u6a21\u578b\u7684\u6a21\u62df\u6587\u672c\u5bf9\u6297\u653b\u51fb\uff0c\u63a2\u6790\u6587\u672c\u5bf9\u6297\u653b\u9632\u6280\u672f\u5728\u7535\u4fe1\u7f51\u7edc\u8bc8\u9a97\u9632\u63a7\u9886\u57df\u7684\u5e94\u7528\uff0c\u5e76\u4e14\u8ba8\u8bba\u5176\u9762\u4e34\u7684\u6311\u6218\u4e0e\u524d\u666f\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u4e00\u79cd\u968f\u673a\u675f\u641c\u7d22\u6587\u672c\u653b\u51fb\u9ed1\u76d2\u7b97\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u738b\u5c0f\u840c",
|
||||||
|
"\u5f20\u534e",
|
||||||
|
"\u4e01\u91d1\u6263",
|
||||||
|
"\u738b\u7a3c\u6167"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u5317\u4eac\u90ae\u7535\u5927\u5b66\u7f51\u7edc\u4e0e\u4ea4\u6362\u6280\u672f\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4"
|
||||||
|
],
|
||||||
|
"abstract": "\u9488\u5bf9\u73b0\u6709\u7684\u5bf9\u6297\u6587\u672c\u751f\u6210\u7b97\u6cd5\u4e2d\u6613\u9677\u5165\u5c40\u90e8\u6700\u4f18\u89e3\u7684\u95ee\u9898\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u5229\u7528\u675f\u641c\u7d22\u548c\u968f\u673a\u5143\u6765\u63d0\u9ad8\u653b\u51fb\u6210\u529f\u7387\u7684R-attack\u7b97\u6cd5\u3002\u9996\u5148\u901a\u8fc7\u5229\u7528\u675f\u641c\u7d22\u6765\u5145\u5206\u5229\u7528\u540c\u4e49\u8bcd\u7a7a\u95f4\u6765\u641c\u7d22\u6700\u4f18\u89e3\uff0c\u4ece\u800c\u589e\u52a0\u751f\u6210\u5bf9\u6297\u6837\u672c\u7684\u591a\u6837\u6027\uff1b\u5e76\u4e14\u5728\u8fed\u4ee3\u641c\u7d22\u8fc7\u7a0b\u4e2d\uff0c\u5f15\u5165\u968f\u673a\u5143\uff0c\u7528\u4e8e\u9632\u6b62\u56e0\u5bfb\u627e\u5bf9\u6297\u6837\u672c\u8fc7\u7a0b\u4e2d\u8fc7\u65e9\u6536\u655b\u800c\u9677\u5165\u5c40\u90e8\u6700\u4f18\u89e3\u7684\u56f0\u5883\u3002\u57283\u4e2a\u6570\u636e\u96c6\u5bf92\u4e2a\u6a21\u578b\u8fdb\u884c\u4e86\u5bf9\u6297\u653b\u51fb\u5b9e\u9a8c\uff0c\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u7528R-attack\u7b97\u6cd5\u80fd\u591f\u6709\u6548\u63d0\u9ad8\u5bf9\u6297\u6837\u672c\u7684\u653b\u51fb\u6210\u529f\u7387\u3002\u4ee5\u653b\u51fbYahoo! Answers\u4e0a\u8bad\u7ec3\u7684LSTM\u6a21\u578b\u4e3a\u4f8b\uff0c\u7528R-attack\u7b97\u6cd5\u653b\u51fb\u6a21\u578b\u7684\u653b\u51fb\u6210\u529f\u7387\u76f8\u6bd4\u57fa\u7ebf\u63d0\u53472.4%\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u51b3\u7b56\u8fb9\u754c\u654f\u611f\u6027\u548c\u5c0f\u6ce2\u53d8\u6362\u7684\u7535\u78c1\u4fe1\u53f7\u8c03\u5236\u667a\u80fd\u8bc6\u522b\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u5f90\u4e1c\u4f1f1,2",
|
||||||
|
"\u848b\u658c1,2",
|
||||||
|
"\u6731\u6167\u71d51,2",
|
||||||
|
"\u5ba3\u74261,2",
|
||||||
|
"\u738b\u5dcd3",
|
||||||
|
"\u6797\u4e914",
|
||||||
|
"\u6c88\u4f1f\u56fd3",
|
||||||
|
"\u6768\u5c0f\u725b1,2,3"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66\u7f51\u7edc\u5b89\u5168\u7814\u7a76\u9662",
|
||||||
|
"2. \u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66\u4fe1\u606f\u5de5\u7a0b\u5b66\u9662",
|
||||||
|
"3. \u91cd\u70b9\u7535\u78c1\u7a7a\u95f4\u5b89\u5168\u5168\u56fd\u91cd\u70b9\u5b9e\u9a8c\u5ba4",
|
||||||
|
"4. \u54c8\u5c14\u6ee8\u5de5\u7a0b\u5927\u5b66\u4fe1\u606f\u4e0e\u901a\u4fe1\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u6df1\u5ea6\u5b66\u4e60\u5728\u56fe\u50cf\u5206\u7c7b\u548c\u5206\u5272\u3001\u7269\u4f53\u68c0\u6d4b\u548c\u8ffd\u8e2a\u3001\u533b\u7597\u3001\u7ffb\u8bd1\u548c\u8bed\u97f3\u8bc6\u522b\u7b49\u4e0e\u4eba\u7c7b\u76f8\u5173\u7684\u4efb\u52a1\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u7684\u6210\u529f\u3002\u5b83\u80fd\u591f\u5904\u7406\u5927\u91cf\u590d\u6742\u7684\u6570\u636e\uff0c\u5e76\u81ea\u52a8\u63d0\u53d6\u7279\u5f81\u8fdb\u884c\u9884\u6d4b\uff0c\u56e0\u6b64\u53ef\u4ee5\u66f4\u51c6\u786e\u5730\u9884\u6d4b\u7ed3\u679c\u3002\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u4ee5\u53ca\u53ef\u83b7\u5f97\u7684\u6570\u636e\u548c\u8ba1\u7b97\u80fd\u529b\u7684\u63d0\u9ad8\uff0c\u8fd9\u4e9b\u5e94\u7528\u7684\u51c6\u786e\u6027\u4e0d\u65ad\u63d0\u5347\u3002\u6700\u8fd1\uff0c\u6df1\u5ea6\u5b66\u4e60\u4e5f\u5728\u7535\u78c1\u4fe1\u53f7\u9886\u57df\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\uff0c\u4f8b\u5982\u5229\u7528\u795e\u7ecf\u7f51\u7edc\u6839\u636e\u4fe1\u53f7\u7684\u9891\u57df\u548c\u65f6\u57df\u7279\u5f81\u5bf9\u5176\u8fdb\u884c\u5206\u7c7b\u3002\u4f46\u795e\u7ecf\u7f51\u7edc\u5bb9\u6613\u53d7\u5230\u5bf9\u6297\u6837\u672c\u7684\u5e72\u6270\uff0c\u8fd9\u4e9b\u5bf9\u6297\u6837\u672c\u53ef\u4ee5\u8f7b\u6613\u6b3a\u9a97\u795e\u7ecf\u7f51\u7edc\uff0c\u5bfc\u81f4\u5206\u7c7b\u9519\u8bef\u3002\u56e0\u6b64\uff0c\u5bf9\u6297\u6837\u672c\u7684\u751f\u6210\u3001\u68c0\u6d4b\u548c\u9632\u62a4\u7684\u7814\u7a76\u53d8\u5f97\u5c24\u4e3a\u91cd\u8981\uff0c\u8fd9\u5c06\u4fc3\u8fdb\u6df1\u5ea6\u5b66\u4e60\u5728\u7535\u78c1\u4fe1\u53f7\u9886\u57df\u548c\u5176\u4ed6\u9886\u57df\u7684\u53d1\u5c55\u3002\u9488\u5bf9\u73b0\u9636\u6bb5\u5355\u4e00\u7684\u68c0\u6d4b\u65b9\u6cd5\u7684\u6709\u6548\u6027\u4e0d\u9ad8\u7684\u95ee\u9898\uff0c\u63d0\u51fa\u4e86\u57fa\u4e8e\u51b3\u7b56\u8fb9\u754c\u654f\u611f\u6027\u548c\u5c0f\u6ce2\u53d8\u6362\u91cd\u6784\u7684\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\u65b9\u6cd5\u3002\u5229\u7528\u4e86\u5bf9\u6297\u6837\u672c\u4e0e\u6b63\u5e38\u6837\u672c\u5bf9\u6a21\u578b\u51b3\u7b56\u8fb9\u754c\u7684\u654f\u611f\u6027\u5dee\u5f02\u6765\u8fdb\u884c\u68c0\u6d4b\uff0c\u63a5\u7740\u9488\u5bf9\u7b2c\u4e00\u68c0\u6d4b\u9636\u6bb5\u4e2d\u672a\u68c0\u6d4b\u51fa\u7684\u5bf9\u6297\u6837\u672c\uff0c\u672c\u6587\u5229\u7528\u5c0f\u6ce2\u53d8\u6362\u5bf9\u6837\u672c\u8fdb\u884c\u91cd\u6784\uff0c\u5229\u7528\u6837\u672c\u53bb\u566a\u524d\u540e\u5728\u6a21\u578b\u4e2d\u7684\u9884\u6d4b\u503c\u5dee\u5f02\u6765\u8fdb\u884c\u68c0\u6d4b\u3002\u672c\u6587\u5728\u4e24\u79cd\u8c03\u5236\u4fe1\u53f7\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u5b9e\u9a8c\u5206\u6790\uff0c\u5e76\u4e0e\u57fa\u7ebf\u68c0\u6d4b\u65b9\u6cd5\u8fdb\u884c\u5bf9\u6bd4\uff0c\u6b64\u65b9\u6cd5\u66f4\u4f18\u3002\u8fd9\u4e00\u7814\u7a76\u7684\u521b\u65b0\u70b9\u5728\u4e8e\u7efc\u5408\u8003\u8651\u4e86\u6a21\u578b\u51b3\u7b56\u8fb9\u754c\u7684\u654f\u611f\u6027\u548c\u5c0f\u6ce2\u53d8\u6362\u7684\u91cd\u6784\u80fd\u529b\uff0c\u901a\u8fc7\u5de7\u5999\u7684\u7ec4\u5408\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u66f4\u4e3a\u5168\u9762\u3001\u7cbe\u51c6\u7684\u5bf9\u6297\u6837\u672c\u68c0\u6d4b\u65b9\u6cd5\u3002\u8fd9\u4e3a\u6df1\u5ea6\u5b66\u4e60\u5728\u7535\u78c1\u4fe1\u53f7\u9886\u57df\u7684\u7a33\u5065\u5e94\u7528\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def\u548c\u65b9\u6cd5\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9762\u5411\u667a\u80fd\u65e0\u4eba\u901a\u4fe1\u7cfb\u7edf\u7684\u56e0\u679c\u6027\u5bf9\u6297\u653b\u51fb\u751f\u6210\u7b97\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u79b9\u6811\u65871",
|
||||||
|
"\u8bb8\u5a011,2",
|
||||||
|
"\u59da\u5609\u94d61"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u4e1c\u5357\u5927\u5b66\u79fb\u52a8\u901a\u4fe1\u5168\u56fd\u91cd\u70b9\u5b9e\u9a8c\u5ba4",
|
||||||
|
"2. \u7f51\u7edc\u901a\u4fe1\u4e0e\u5b89\u5168\u7d2b\u91d1\u5c71\u5b9e\u9a8c\u5ba4"
|
||||||
|
],
|
||||||
|
"abstract": "\u8003\u8651\u5230\u57fa\u4e8e\u68af\u5ea6\u7684\u5bf9\u6297\u653b\u51fb\u751f\u6210\u7b97\u6cd5\u5728\u5b9e\u9645\u901a\u4fe1\u7cfb\u7edf\u90e8\u7f72\u4e2d\u9762\u4e34\u7740\u56e0\u679c\u6027\u95ee\u9898\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u56e0\u679c\u6027\u5bf9\u6297\u653b\u51fb\u751f\u6210\u7b97\u6cd5\u3002\u5229\u7528\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\u7684\u5e8f\u5217\u8f93\u5165\u8f93\u51fa\u7279\u5f81\u4e0e\u65f6\u5e8f\u8bb0\u5fc6\u80fd\u529b\uff0c\u5728\u6ee1\u8db3\u5b9e\u9645\u5e94\u7528\u4e2d\u5b58\u5728\u7684\u56e0\u679c\u6027\u7ea6\u675f\u524d\u63d0\u4e0b\uff0c\u6709\u6548\u63d0\u53d6\u901a\u4fe1\u4fe1\u53f7\u7684\u65f6\u5e8f\u76f8\u5173\u6027\uff0c\u589e\u5f3a\u9488\u5bf9\u65e0\u4eba\u901a\u4fe1\u7cfb\u7edf\u7684\u5bf9\u6297\u653b\u51fb\u6027\u80fd\u3002\u4eff\u771f\u7ed3\u679c\u8868\u660e\uff0c\u6240\u63d0\u7b97\u6cd5\u5728\u540c\u7b49\u6761\u4ef6\u4e0b\u7684\u653b\u51fb\u6027\u80fd\u4f18\u4e8e\u6cdb\u7528\u5bf9\u6297\u6270\u52a8\u7b49\u73b0\u6709\u7684\u56e0\u679c\u6027\u5bf9\u6297\u653b\u51fb\u751f\u6210\u7b97\u6cd5\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u6f5c\u5728\u6570\u636e\u6316\u6398\u7684\u5c0f\u6837\u672c\u6570\u636e\u5e93\u5bf9\u6297\u653b\u51fb\u9632\u5fa1\u7b97\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u66f9\u537f"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u95fd\u5357\u7406\u5de5\u5b66\u9662\u4fe1\u606f\u7ba1\u7406\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u4e3a\u4e86\u964d\u4f4e\u5c0f\u6837\u672c\u6570\u636e\u5e93\u6b3a\u9a97\u7387\uff0c\u63d0\u5347\u5c0f\u6837\u672c\u6570\u636e\u5e93\u7684\u653b\u51fb\u9632\u5fa1\u6548\u679c\uff0c\u8bbe\u8ba1\u4e86\u4e00\u79cd\u57fa\u4e8e\u6f5c\u5728\u6570\u636e\u6316\u6398\u7684\u5c0f\u6837\u672c\u6570\u636e\u5e93\u5bf9\u6297\u653b\u51fb\u7684\u9632\u5fa1\u7b97\u6cd5(\u6f5c\u5728\u6570\u636e\u6316\u6398\u7684\u9632\u5fa1\u7b97\u6cd5).\u91c7\u7528\u6539\u8fdb\u7684Apriori\u7b97\u6cd5\uff0c\u901a\u8fc7\u9891\u7e41\u5c5e\u6027\u503c\u96c6\u7684\u5de5\u4f5c\u8fc7\u7a0b\u83b7\u53d6\u51c6\u786e\u7684\u5f3a\u5173\u8054\u89c4\u5219\u4f18\u52bf\uff0c\u5e76\u4ece\u5c0f\u6837\u672c\u6570\u636e\u5e93\u4e2d\u6316\u6398\u6f5c\u5728\u6570\u636e\u5bf9\u6297\u653b\u51fb\uff0c\u540c\u65f6\u4f18\u5316\u5019\u9009\u96c6\u5bfb\u627e\u9891\u7e41\u96c6\u7684\u8fc7\u7a0b\uff0c\u7136\u540e\u5229\u7528\u5173\u8054\u5206\u6790\u68c0\u6d4b\u5bf9\u6297\u653b\u51fb\uff0c\u5e76\u901a\u8fc7\u53ef\u4fe1\u5ea6\u8c03\u5ea6\u63a7\u5236\u8bbf\u95ee\u901f\u7387\u6765\u9632\u6b62\u4ea7\u751f\u6076\u610f\u4f1a\u8bdd\uff0c\u5b9e\u73b0\u5c0f\u6837\u672c\u6570\u636e\u5e93\u5bf9\u6297\u653b\u51fb\u9632\u5fa1.\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u6f5c\u5728\u6570\u636e\u6316\u6398\u7684\u9632\u5fa1\u7b97\u6cd5\u53ef\u6709\u6548\u9632\u5fa1\u5c0f\u6837\u672c\u6570\u636e\u5e93\u906d\u53d7\u7684\u591a\u79cd\u7c7b\u578b\u653b\u51fb\uff0c\u964d\u4f4e\u653b\u51fb\u4ea7\u751f\u7684\u6570\u636e\u5e93\u6b3a\u9a97\u7387\uff0c\u4fdd\u969c\u5c0f\u6837\u672c\u6570\u636e\u5e93\u670d\u52a1\u5668\u5229\u7528\u7387\u7684\u7a33\u5b9a\u6027."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u96c5\u53ef\u6bd4\u663e\u8457\u56fe\u7684\u7535\u78c1\u4fe1\u53f7\u5feb\u901f\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u5f20\u5251",
|
||||||
|
"\u5468\u4fa0",
|
||||||
|
"\u5f20\u4e00\u7136",
|
||||||
|
"\u738b\u6893\u806a"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u6b66\u6c49\u6570\u5b57\u5de5\u7a0b\u7814\u7a76\u6240"
|
||||||
|
],
|
||||||
|
"abstract": "\u4e3a\u4e86\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u7535\u78c1\u4fe1\u53f7\u5bf9\u6297\u6837\u672c\uff0c\u63d0\u51fa\u4e86\u5feb\u901f\u96c5\u53ef\u6bd4\u663e\u8457\u56fe\u653b\u51fb\uff08FJSMA\uff09\u65b9\u6cd5\u3002FJSMA\u901a\u8fc7\u8ba1\u7b97\u653b\u51fb\u76ee\u6807\u7c7b\u522b\u7684\u96c5\u53ef\u6bd4\u77e9\u9635\uff0c\u5e76\u6839\u636e\u8be5\u77e9\u9635\u751f\u6210\u7279\u5f81\u663e\u8457\u56fe\uff0c\u4e4b\u540e\u8fed\u4ee3\u9009\u53d6\u663e\u8457\u6027\u6700\u5f3a\u7684\u7279\u5f81\u70b9\u53ca\u5176\u90bb\u57df\u5185\u8fde\u7eed\u7279\u5f81\u70b9\u6dfb\u52a0\u6270\u52a8\uff0c\u540c\u65f6\u5f15\u5165\u5355\u70b9\u6270\u52a8\u9650\u5236\uff0c\u6700\u540e\u751f\u6210\u5bf9\u6297\u6837\u672c\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u4e0e\u96c5\u53ef\u6bd4\u663e\u8457\u56fe\u653b\u51fb\u65b9\u6cd5\u76f8\u6bd4\uff0cFJSMA\u5728\u4fdd\u6301\u4e0e\u4e4b\u76f8\u540c\u7684\u9ad8\u653b\u51fb\u6210\u529f\u7387\u7684\u540c\u65f6\uff0c\u751f\u6210\u901f\u5ea6\u63d0\u5347\u4e86\u7ea610\u500d\uff0c\u76f8\u4f3c\u5ea6\u63d0\u5347\u4e86\u8d85\u8fc711%\uff1b\u4e0e\u5176\u4ed6\u57fa\u4e8e\u68af\u5ea6\u7684\u65b9\u6cd5\u76f8\u6bd4\uff0c\u653b\u51fb\u6210\u529f\u7387\u63d0\u5347\u4e86\u8d85\u8fc720%\uff0c\u76f8\u4f3c\u5ea6\u63d0\u5347\u4e8620%\uff5e30%\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u52a8\u91cf\u8fed\u4ee3\u5feb\u901f\u68af\u5ea6\u7b26\u53f7\u7684SAR-ATR\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u4e07\u70dc\u7533",
|
||||||
|
"\u5218\u4f1f",
|
||||||
|
"\u725b\u671d\u9633",
|
||||||
|
"\u5362\u4e07\u6770"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u4e2d\u56fd\u4eba\u6c11\u89e3\u653e\u519b\u6218\u7565\u652f\u63f4\u90e8\u961f\u4fe1\u606f\u5de5\u7a0b\u5927\u5b66\u6570\u636e\u4e0e\u76ee\u6807\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u5408\u6210\u5b54\u5f84\u96f7\u8fbe\u81ea\u52a8\u76ee\u6807\u8bc6\u522b(SAR-ATR)\u9886\u57df\u7f3a\u4e4f\u6709\u6548\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\uff0c\u4e3a\u6b64\uff0c\u8be5\u6587\u7ed3\u5408\u52a8\u91cf\u8fed\u4ee3\u5feb\u901f\u68af\u5ea6\u7b26\u53f7(MI-FGSM)\u601d\u60f3\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u8fc1\u79fb\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u3002\u9996\u5148\u7ed3\u5408SAR\u56fe\u50cf\u7279\u6027\u8fdb\u884c\u968f\u673a\u6591\u70b9\u566a\u58f0\u53d8\u6362\uff0c\u7f13\u89e3\u6a21\u578b\u5bf9\u6591\u70b9\u566a\u58f0\u7684\u8fc7\u62df\u5408\uff0c\u63d0\u9ad8\u7b97\u6cd5\u7684\u6cdb\u5316\u6027\u80fd\uff1b\u7136\u540e\u8bbe\u8ba1\u4e86\u80fd\u591f\u5feb\u901f\u5bfb\u627e\u6700\u4f18\u68af\u5ea6\u4e0b\u964d\u65b9\u5411\u7684ABN\u5bfb\u4f18\u5668\uff0c\u901a\u8fc7\u6a21\u578b\u68af\u5ea6\u5feb\u901f\u6536\u655b\u63d0\u5347\u7b97\u6cd5\u653b\u51fb\u6709\u6548\u6027\uff1b\u6700\u540e\u5f15\u5165\u62df\u53cc\u66f2\u52a8\u91cf\u7b97\u5b50\u83b7\u5f97\u7a33\u5b9a\u7684\u6a21\u578b\u68af\u5ea6\u4e0b\u964d\u65b9\u5411\uff0c\u4f7f\u68af\u5ea6\u5728\u5feb\u901f\u6536\u655b\u8fc7\u7a0b\u4e2d\u907f\u514d\u9677\u5165\u5c40\u90e8\u6700\u4f18\uff0c\u8fdb\u4e00\u6b65\u589e\u5f3a\u5bf9\u6297\u6837\u672c\u7684\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u3002\u901a\u8fc7\u4eff\u771f\u5b9e\u9a8c\u8868\u660e\uff0c\u4e0e\u73b0\u6709\u7684\u5bf9\u6297\u653b\u51fb\u7b97\u6cd5\u76f8\u6bd4\uff0c\u8be5\u6587\u7b97\u6cd5\u5728MSTAR\u548cFUSAR-Ship\u6570\u636e\u96c6\u4e0a\u5bf9\u4e3b\u6d41\u7684SAR-ATR\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u96c6\u6210\u6a21\u578b\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u5206\u522b\u63d0\u9ad8\u4e863%\uff5e55%\u548c6%\uff5e57.5%\uff0c\u800c\u4e14\u751f\u6210\u7684\u5bf9\u6297\u6837\u672c\u5177\u6709\u9ad8\u5ea6\u7684\u9690\u853d\u6027\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9762\u5411\u56fe\u50cf\u5206\u6790\u9886\u57df\u7684\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u6280\u672f\u7efc\u8ff0",
|
||||||
|
"authors": [
|
||||||
|
"\u6b66\u9633",
|
||||||
|
"\u5218\u9756"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u5185\u8499\u53e4\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u56fe\u50cf\u9886\u57df\u4e0b\u7684\u9ed1\u76d2\u653b\u51fb\uff08Black-box Attack\uff09\u5df2\u6210\u4e3a\u5f53\u524d\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5bf9\u6297\u653b\u51fb\u9886\u57df\u7684\u70ed\u70b9\u7814\u7a76\u65b9\u5411\u3002\u9ed1\u76d2\u653b\u51fb\u7684\u7279\u70b9\u5728\u4e8e\u4ec5\u5229\u7528\u6a21\u578b\u8f93\u5165\u4e0e\u8f93\u51fa\u7684\u6620\u5c04\u5173\u7cfb\uff0c\u800c\u65e0\u9700\u6a21\u578b\u5185\u90e8\u53c2\u6570\u4fe1\u606f\u53ca\u68af\u5ea6\u4fe1\u606f\uff0c\u901a\u8fc7\u5411\u56fe\u50cf\u6570\u636e\u52a0\u5165\u4eba\u7c7b\u96be\u4ee5\u5bdf\u89c9\u7684\u5fae\u5c0f\u6270\u52a8\uff0c\u8fdb\u800c\u9020\u6210\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff08Deep Neural Network\uff0c DNN\uff09\u63a8\u7406\u4e0e\u8bc6\u522b\u5931\u51c6\uff0c\u5bfc\u81f4\u56fe\u50cf\u5206\u6790\u4efb\u52a1\u7684\u51c6\u786e\u7387\u4e0b\u964d\uff0c\u56e0\u6b64\u7531\u9ed1\u76d2\u653b\u51fb\u5f15\u8d77\u7684\u9c81\u68d2\u6027\u95ee\u9898\u6210\u4e3a\u5f53\u524dDNN\u6a21\u578b\u7814\u7a76\u7684\u5173\u952e\u95ee\u9898\u3002\u4e3a\u63d0\u9ad8\u9ed1\u76d2\u653b\u51fb\u5728\u56fe\u50cf\u5206\u6790\u4efb\u52a1\u4e0b\u7684\u653b\u51fb\u6210\u6548\uff0c\u73b0\u6709\u76f8\u5173\u7814\u7a76\u4ee5\u4f4e\u67e5\u8be2\u6b21\u6570\u3001\u4f4e\u6270\u52a8\u5e45\u5ea6\u3001\u9ad8\u653b\u51fb\u6210\u529f\u7387\u4f5c\u4e3a\u4f18\u5316\u76ee\u6807\uff0c\u9488\u5bf9\u4e0d\u540c\u56fe\u50cf\u5206\u6790\u4efb\u52a1\u91c7\u7528\u4e0d\u540c\u7684\u653b\u51fb\u6a21\u5f0f\u4e0e\u8bc4\u4f30\u65b9\u5f0f\u3002\u672c\u6587\u4ee5\u4e3b\u6d41\u7684\u56fe\u50cf\u5206\u6790\u4efb\u52a1\u4e3a\u51fa\u53d1\u70b9\uff0c\u9610\u8ff0\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u4e0e\u56fe\u50cf\u5206\u5272\u4e09\u7c7b\u4efb\u52a1\u4e2d\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u7684\u6838\u5fc3\u601d\u60f3\u548c\u96be\u70b9\uff0c\u603b\u7ed3\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u9886\u57df\u4e2d\u7684\u5173\u952e\u6982\u5ff5\u4e0e\u8bc4\u4f30\u6307\u6807\uff0c\u5206\u6790\u4e0d\u540c\u56fe\u50cf\u5206\u6790\u4efb\u52a1\u4e2d\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u7684\u5b9e\u73b0\u7b56\u7565\u4e0e\u7814\u7a76\u76ee\u6807\u3002\u9610\u660e\u5404\u4e2a\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u95f4\u7684\u5173\u7cfb\u4e0e\u4f18\u52bf\uff0c\u4ece\u653b\u51fb\u6210\u529f\u7387\u3001\u67e5\u8be2\u6b21\u6570\uff0c\u4ee5\u53ca\u76f8\u4f3c\u6027\u5ea6\u91cf\u7b49\u591a\u4e2a\u65b9\u9762\u5bf9\u4e0d\u540c\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u8fdb\u884c\u6027\u80fd\u6bd4\u8f83\uff0c\u4ee5\u63d0\u51fa\u76ee\u524d\u56fe\u50cf\u5206\u6790\u9886\u57df\u4e2d\u9ed1\u76d2\u5bf9\u6297\u653b\u51fb\u4ecd\u5b58\u5728\u7684\u4e3b\u8981\u6311\u6218\u4e0e\u672a\u6765\u7814\u7a76\u65b9\u5411\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u7164\u77ff\u4e95\u4e0b\u94bb\u8fdb\u901f\u5ea6\u5f71\u54cd\u56e0\u7d20\u53ca\u5176\u667a\u80fd\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76",
|
||||||
|
"authors": [
|
||||||
|
"\u6234\u5251\u535a1",
|
||||||
|
"\u738b\u5fe0\u5bbe1",
|
||||||
|
"\u5f20\u74301",
|
||||||
|
"\u53f8\u57921",
|
||||||
|
"\u9b4f\u4e1c1",
|
||||||
|
"\u5468\u6587\u535a2",
|
||||||
|
"\u987e\u8fdb\u60521",
|
||||||
|
"\u90b9\u7b71\u745c1",
|
||||||
|
"\u5b8b\u96e8\u96e82"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u4e2d\u56fd\u77ff\u4e1a\u5927\u5b66\u673a\u68b0\u5de5\u7a0b\u5b66\u9662",
|
||||||
|
"2. \u56db\u5ddd\u822a\u5929\u7cfb\u7edf\u5de5\u7a0b\u7814\u7a76\u6240"
|
||||||
|
],
|
||||||
|
"abstract": "\u5728\u7164\u77ff\u4e95\u4e0b\u94bb\u63a2\u9886\u57df\uff0c\u94bb\u8fdb\u901f\u5ea6(DR)\u662f\u8bc4\u4f30\u94bb\u63a2\u4f5c\u4e1a\u6700\u6709\u6548\u6307\u6807\u4e4b\u4e00\uff0c\u94bb\u901f\u9884\u6d4b\u662f\u5b9e\u73b0\u7164\u77ff\u94bb\u8fdb\u667a\u80fd\u5316\u7684\u524d\u63d0\u6761\u4ef6\uff0c\u5bf9\u4e8e\u4f18\u5316\u94bb\u673a\u94bb\u8fdb\u53c2\u6570\u3001\u964d\u4f4e\u4f5c\u4e1a\u6210\u672c\u3001\u5b9e\u73b0\u5b89\u5168\u9ad8\u6548\u94bb\u63a2\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002\u4e3a\u6b64\uff0c\u63d0\u51fa\u7164\u77ff\u4e95\u4e0b\u94bb\u8fdb\u901f\u5ea6\u5f71\u54cd\u56e0\u7d20\u53ca\u5176\u667a\u80fd\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76\uff0c\u63a2\u7d22\u57fa\u4e8e\u94bb\u538b\u3001\u8f6c\u901f\u3001\u626d\u77e9\u4ee5\u53ca\u94bb\u8fdb\u6df1\u5ea6\u7b49\u5c11\u91cf\u94bb\u673a\u53c2\u6570\u91c7\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5b9e\u73b0\u94bb\u8fdb\u901f\u5ea6\u7cbe\u51c6\u9884\u6d4b\u3002\u9996\u5148\u901a\u8fc7\u5b9e\u9a8c\u5ba4\u5fae\u94bb\u8bd5\u9a8c\uff0c\u6df1\u5165\u5206\u6790\u7164\u5ca9\u529b\u5b66\u6027\u80fd\u3001\u94bb\u538b\u3001\u8f6c\u901f\u548c\u94bb\u8fdb\u6df1\u5ea6\u5bf9\u626d\u77e9\u3001\u94bb\u8fdb\u901f\u5ea6\u5f71\u54cd\u89c4\u5f8b\u3002\u7814\u7a76\u7ed3\u679c\u663e\u793a\uff0c\u5728\u7164\u77ff\u4e95\u4e0b\u94bb\u8fdb\u8fc7\u7a0b\u4e2d\uff0c\u968f\u7740\u94bb\u8fdb\u538b\u529b\u589e\u5927\uff0c\u94bb\u8fdb\u901f\u5ea6\u5448\u9010\u6e10\u5347\u9ad8\u8d8b\u52bf\uff0c\u5728\u8f83\u9ad8\u7684\u8f6c\u901f\u6761\u4ef6\u4e0b\u94bb\u8fdb\u538b\u529b\u5bf9\u94bb\u8fdb\u901f\u5ea6\u5f71\u54cd\u66f4\u52a0\u660e\u663e\uff0c\u8f6c\u901f\u589e\u52a0\u6709\u5229\u4e8e\u63d0\u9ad8\u94bb\u8fdb\u901f\u5ea6\uff0c\u4f46\u8f6c\u901f\u5bf9\u786c\u5ea6\u8f83\u4f4e\u7684\u7164\u5c42\u94bb\u8fdb\u901f\u5ea6\u5f71\u54cd\u66f4\u4e3a\u663e\u8457\uff1b\u7136\u540e\uff0c\u6839\u636e\u7164\u77ff\u4e95\u4e0b\u9632\u51b2\u94bb\u5b54\u73b0\u573a\u6570\u636e\uff0c\u91c7\u7528K-\u8fd1\u90bb(KNN)\u3001\u652f\u6301\u5411\u91cf\u56de\u5f52(SVR)\u548c\u968f\u673a\u68ee\u6797\u56de\u5f52(RFR)\u4e09\u79cd\u4e0d\u540c\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5efa\u7acb\u94bb\u8fdb\u901f\u5ea6\u9884\u6d4b\u6a21\u578b\uff0c\u5e76\u7ed3\u5408\u7c92\u5b50\u7fa4\u7b97\u6cd5(PSO)\u5bf9\u4e09\u79cd\u6a21\u578b\u8d85\u53c2\u6570\u8fdb\u884c\u4f18\u5316\uff0c\u6700\u540e\u5bf9\u6bd4\u5206\u6790PSO-KNN\u3001PSO-SVR\u548cPSO-RFR\u4e09\u79cd\u94bb\u8fdb\u901f\u5ea6\u9884\u6d4b\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u3002\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0cPSO-RFR\u6a21\u578b\u51c6\u786e\u6027\u6700\u597d\uff0c\u51b3\u5b9a\u7cfb\u6570R2\u9ad8\u8fbe0.963\uff0c\u5747\u65b9\u8bef\u5deeMSE\u4ec5\u670929.742\uff0c\u800cPSO-SVR\u6a21\u578b\u9c81\u68d2\u6027\u6700\u597d\uff0c\u5728\u5bf9\u6297\u653b\u51fb\u540e\u8bc4\u4ef7\u6307\u6807\u53d8\u5316\u7387\u6700\u5c0f\u3002\u672c\u6587\u7814\u7a76\u6709\u52a9\u4e8e\u5b9e\u73b0\u7164\u77ff\u4e95\u4e0b\u94bb\u8fdb\u901f\u5ea6\u7684\u7cbe\u51c6\u9884\u6d4b\uff0c\u4e3a\u7164\u77ff\u4e95\u4e0b\u667a\u80fd\u94bb\u8fdb\u53c2\u6570\u4f18\u5316\u63d0\u4f9b\u7406\u8bba\u652f\u6491\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9488\u5bf9\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u7684\u7269\u7406\u5bf9\u6297\u653b\u51fb\u7efc\u8ff0",
|
||||||
|
"authors": [
|
||||||
|
"\u8521\u4f1f",
|
||||||
|
"\u72c4\u661f\u96e8",
|
||||||
|
"\u848b\u6615\u660a",
|
||||||
|
"\u738b\u946b",
|
||||||
|
"\u9ad8\u851a\u6d01"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u706b\u7bad\u519b\u5de5\u7a0b\u5927\u5b66\u5bfc\u5f39\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5bb9\u6613\u53d7\u5230\u5bf9\u6297\u6837\u672c\u7684\u5f71\u54cd\uff0c\u5728\u56fe\u50cf\u4e0a\u6dfb\u52a0\u8089\u773c\u4e0d\u53ef\u89c1\u7684\u5fae\u5c0f\u6270\u52a8\u5c31\u53ef\u4ee5\u4f7f\u8bad\u7ec3\u6709\u7d20\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5931\u7075\u3002\u6700\u8fd1\u7684\u7814\u7a76\u8868\u660e\u8fd9\u79cd\u6270\u52a8\u4e5f\u5b58\u5728\u4e8e\u73b0\u5b9e\u4e16\u754c\u4e2d\u3002\u805a\u7126\u4e8e\u6df1\u5ea6\u5b66\u4e60\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u7684\u7269\u7406\u5bf9\u6297\u653b\u51fb\uff0c\u660e\u786e\u4e86\u7269\u7406\u5bf9\u6297\u653b\u51fb\u7684\u6982\u5ff5\uff0c\u5e76\u4ecb\u7ecd\u4e86\u76ee\u6807\u68c0\u6d4b\u7269\u7406\u5bf9\u6297\u653b\u51fb\u7684\u4e00\u822c\u6d41\u7a0b\uff0c\u4f9d\u636e\u653b\u51fb\u4efb\u52a1\u7684\u4e0d\u540c\u4ece\u8f66\u8f86\u68c0\u6d4b\u548c\u884c\u4eba\u68c0\u6d4b\u7efc\u8ff0\u4e86\u8fd1\u5e74\u6765\u4e00\u7cfb\u5217\u9488\u5bf9\u76ee\u6807\u68c0\u6d4b\u7f51\u7edc\u7684\u7269\u7406\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\uff0c\u4ee5\u53ca\u7b80\u5355\u4ecb\u7ecd\u4e86\u5176\u4ed6\u9488\u5bf9\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u7684\u653b\u51fb\u3001\u5176\u4ed6\u653b\u51fb\u4efb\u52a1\u548c\u5176\u4ed6\u653b\u51fb\u65b9\u5f0f\u3002\u6700\u540e\uff0c\u8ba8\u8bba\u4e86\u7269\u7406\u5bf9\u6297\u653b\u51fb\u5f53\u524d\u9762\u4e34\u7684\u6311\u6218\uff0c\u5f15\u51fa\u5bf9\u6297\u8bad\u7ec3\u7684\u5c40\u9650\u6027\u5e76\u5c55\u671b\u672a\u6765\u53ef\u80fd\u7684\u53d1\u5c55\u65b9\u5411\u548c\u5e94\u7528\u524d\u666f\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9488\u5bf9\u81ea\u52a8\u9a7e\u9a76\u667a\u80fd\u6a21\u578b\u7684\u653b\u51fb\u4e0e\u9632\u5fa1",
|
||||||
|
"authors": [
|
||||||
|
"\u9a6c\u66681,2",
|
||||||
|
"\u6c88\u8d851,2",
|
||||||
|
"\u853a\u741b\u76931,2",
|
||||||
|
"\u674e\u524d1,2",
|
||||||
|
"\u738b\u9a9e3",
|
||||||
|
"\u674e\u74264",
|
||||||
|
"\u7ba1\u6653\u5b8f1,2"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u897f\u5b89\u4ea4\u901a\u5927\u5b66\u7535\u5b50\u4e0e\u4fe1\u606f\u5b66\u90e8\u7f51\u7edc\u7a7a\u95f4\u5b89\u5168\u5b66\u9662",
|
||||||
|
"2. \u667a\u80fd\u7f51\u7edc\u4e0e\u7f51\u7edc\u5b89\u5168\u6559\u80b2\u90e8\u91cd\u70b9\u5b9e\u9a8c\u5ba4(\u897f\u5b89\u4ea4\u901a\u5927\u5b66)",
|
||||||
|
"3. \u6b66\u6c49\u5927\u5b66\u56fd\u5bb6\u7f51\u7edc\u5b89\u5168\u5b66\u9662",
|
||||||
|
"4. \u6e05\u534e\u5927\u5b66\u7f51\u7edc\u79d1\u5b66\u4e0e\u7f51\u7edc\u7a7a\u95f4\u7814\u7a76\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u8fd1\u5e74\u6765\uff0c\u4ee5\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u4e3a\u4ee3\u8868\u7684\u4eba\u5de5\u667a\u80fd\u6280\u672f\u4e3a\u4eba\u7c7b\u751f\u4ea7\u751f\u6d3b\u7684\u65b9\u65b9\u9762\u9762\u5e26\u6765\u4e86\u5de8\u5927\u7684\u9769\u65b0\uff0c\u5c24\u5176\u662f\u5728\u81ea\u52a8\u9a7e\u9a76\u9886\u57df\uff0c\u90e8\u7f72\u7740\u81ea\u52a8\u9a7e\u9a76\u7cfb\u7edf\u7684\u667a\u80fd\u6c7d\u8f66\u5df2\u7ecf\u8d70\u8fdb\u4eba\u4eec\u7684\u751f\u6d3b\uff0c\u6210\u4e3a\u4e86\u91cd\u8981\u7684\u751f\u4ea7\u529b\u5de5\u5177\u3002\u7136\u800c\uff0c\u81ea\u52a8\u9a7e\u9a76\u7cfb\u7edf\u4e2d\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u9762\u4e34\u7740\u6f5c\u5728\u7684\u5b89\u5168\u9690\u60a3\u548c\u98ce\u9669\uff0c\u8fd9\u7ed9\u4eba\u6c11\u7fa4\u4f17\u751f\u547d\u8d22\u4ea7\u5b89\u5168\u5e26\u6765\u4e86\u4e25\u91cd\u5a01\u80c1\u3002\u672c\u6587\u901a\u8fc7\u56de\u987e\u81ea\u52a8\u9a7e\u9a76\u667a\u80fd\u6a21\u578b\u653b\u51fb\u548c\u9632\u5fa1\u7684\u76f8\u5173\u7814\u7a76\u5de5\u4f5c\uff0c\u63ed\u793a\u81ea\u52a8\u9a7e\u9a76\u7cfb\u7edf\u5728\u7269\u7406\u4e16\u754c\u4e0b\u9762\u4e34\u7684\u5b89\u5168\u98ce\u9669\u5e76\u5f52\u7eb3\u603b\u7ed3\u4e86\u76f8\u5e94\u7684\u9632\u5fa1\u5bf9\u7b56\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u672c\u6587\u9996\u5148\u4ecb\u7ecd\u4e86\u5305\u542b\u653b\u51fb\u9762\u3001\u653b\u51fb\u80fd\u529b\u548c\u653b\u51fb\u76ee\u6807\u7684\u81ea\u52a8\u9a7e\u9a76\u7cfb\u7edf\u5b89\u5168\u98ce\u9669\u6a21\u578b\u3002\u5176\u6b21\uff0c\u9762\u5411\u81ea\u52a8\u9a7e\u9a76\u7cfb\u7edf\u7684\u4e09\u4e2a\u5173\u952e\u529f\u80fd\u5c42\u2014\u2014\u4f20\u611f\u5668\u5c42\u3001\u611f\u77e5\u5c42\u548c\u51b3\u7b56\u5c42\uff0c\u672c\u6587\u4f9d\u636e\u53d7\u653b\u51fb\u7684\u667a\u80fd\u6a21\u578b\u548c\u653b\u51fb\u624b\u6bb5\u5f52\u7eb3\u3001\u5206\u6790\u4e86\u5bf9\u5e94\u7684\u653b\u51fb\u65b9\u6cd5\u4ee5\u53ca\u9632\u5fa1\u5bf9\u7b56\uff0c\u5e76\u63a2\u8ba8\u4e86\u73b0\u6709\u65b9\u6cd5\u7684\u5c40\u9650\u6027\u3002\u6700\u540e\uff0c\u672c\u6587\u8ba8\u8bba\u548c\u5c55\u671b\u4e86\u81ea\u52a8\u9a7e\u9a76\u667a\u80fd\u6a21\u578b\u653b\u51fb\u4e0e\u9632\u5fa1\u6280\u672f\u9762\u4e34\u7684\u96be\u9898\u4e0e\u6311\u6218\uff0c\u5e76\u6307\u51fa\u4e86\u672a\u6765\u6f5c\u5728\u7684\u7814\u7a76\u65b9\u5411\u548c\u53d1\u5c55\u8d8b\u52bf."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9690\u79c1\u4fdd\u62a4\u7684\u56fe\u50cf\u66ff\u4ee3\u6570\u636e\u751f\u6210\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u674e\u5a49\u83b91,2",
|
||||||
|
"\u5218\u5b66\u82731,2",
|
||||||
|
"\u6768\u535a1,2"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u5409\u6797\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u5b66\u9662",
|
||||||
|
"2. \u5409\u6797\u5927\u5b66\u7b26\u53f7\u8ba1\u7b97\u4e0e\u77e5\u8bc6\u5de5\u7a0b\u6559\u80b2\u90e8\u91cd\u70b9\u5b9e\u9a8c\u5ba4"
|
||||||
|
],
|
||||||
|
"abstract": "\u9488\u5bf9\u73b0\u6709\u56fe\u50cf\u6570\u636e\u96c6\u5b58\u5728\u7684\u9690\u79c1\u4fdd\u62a4\u9700\u6c42\uff0c\u63d0\u51fa\u4e00\u79cd\u56fe\u50cf\u6570\u636e\u96c6\u9690\u79c1\u4fdd\u62a4\u573a\u666f\u53ca\u8be5\u573a\u666f\u4e0b\u9690\u79c1\u4fdd\u62a4\u7684\u56fe\u50cf\u66ff\u4ee3\u6570\u636e\u751f\u6210\u65b9\u6cd5\u3002\u8be5\u573a\u666f\u5229\u7528\u7ecf\u9690\u79c1\u4fdd\u62a4\u65b9\u6cd5\u5904\u7406\u540e\u7684\u66ff\u4ee3\u56fe\u50cf\u6570\u636e\u96c6\u53d6\u4ee3\u539f\u59cb\u56fe\u50cf\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u66ff\u4ee3\u56fe\u50cf\u4e0e\u539f\u59cb\u56fe\u50cf\u4e00\u4e00\u5bf9\u5e94\uff0c\u4eba\u7c7b\u65e0\u6cd5\u8bc6\u522b\u66ff\u4ee3\u56fe\u50cf\u6240\u5c5e\u7c7b\u522b\uff0c\u66ff\u4ee3\u56fe\u50cf\u53ef\u8bad\u7ec3\u73b0\u6709\u7684\u6df1\u5ea6\u5b66\u4e60\u56fe\u50cf\u5206\u7c7b\u7b97\u6cd5\uff0c\u4e14\u5177\u6709\u8f83\u597d\u7684\u5206\u7c7b\u6548\u679c\u3002\u540c\u65f6\u9488\u5bf9\u4e0a\u8ff0\u573a\u666f\uff0c\u6539\u8fdb\u4e86\u57fa\u4e8e\u6295\u5f71\u68af\u5ea6\u4e0b\u964d(PGD:Project Gradient Descent)\u653b\u51fb\u7684\u6570\u636e\u9690\u79c1\u4fdd\u62a4\u65b9\u6cd5\uff0c\u5c06\u539f\u59cbPGD\u653b\u51fb\u76ee\u6807\u7531\u6807\u7b7e\u6539\u4e3a\u56fe\u50cf\uff0c\u5373\u56fe\u50cf\u5bf9\u56fe\u50cf\u7684\u653b\u51fb\uff0c\u5e76\u4f7f\u7528\u7ecf\u8fc7\u5bf9\u6297\u8bad\u7ec3\u7684\u9c81\u68d2\u6a21\u578b\u8fdb\u884c\u56fe\u50cf\u5bf9\u56fe\u50cf\u653b\u51fb\u4f5c\u4e3a\u66ff\u4ee3\u6570\u636e\u7684\u751f\u6210\u65b9\u6cd5\u3002\u5728\u6807\u51c6\u6d4b\u8bd5\u96c6\u4e0a\uff0c\u66ff\u4ee3\u540e\u7684CIFAR(Canadian Institute For Advanced Research 10)\u6570\u636e\u96c6\u548cCINIC\u6570\u636e\u96c6\u5728\u56fe\u50cf\u5206\u7c7b\u4efb\u52a1\u4e0a\u5206\u522b\u53d6\u5f97\u4e8687.15%\u548c74.04%\u7684\u6d4b\u8bd5\u6b63\u786e\u7387\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u65b9\u6cd5\u80fd\u5728\u4fdd\u8bc1\u66ff\u4ee3\u6570\u636e\u96c6\u5bf9\u4eba\u7c7b\u9690\u79c1\u6027\u7684\u524d\u63d0\u4e0b\uff0c\u751f\u6210\u539f\u59cb\u6570\u636e\u96c6\u7684\u66ff\u4ee3\u6570\u636e\u96c6\uff0c\u5e76\u4fdd\u8bc1\u73b0\u6709\u65b9\u6cd5\u5728\u8be5\u6570\u636e\u96c6\u4e0a\u7684\u5206\u7c7b\u6027\u80fd\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u7ed3\u5408\u81ea\u9002\u5e94\u6b65\u957f\u7b56\u7565\u548c\u6570\u636e\u589e\u5f3a\u673a\u5236\u63d0\u5347\u5bf9\u6297\u653b\u51fb\u8fc1\u79fb\u6027",
|
||||||
|
"authors": [
|
||||||
|
"\u9c8d\u857e1",
|
||||||
|
"\u9676\u851a2",
|
||||||
|
"\u9676\u537f1"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u4e2d\u56fd\u4eba\u6c11\u89e3\u653e\u519b\u9646\u519b\u70ae\u5175\u9632\u7a7a\u5175\u5b66\u9662\u4fe1\u606f\u5de5\u7a0b\u7cfb",
|
||||||
|
"2. \u4e2d\u56fd\u4eba\u6c11\u89e3\u653e\u519b\u519b\u4e8b\u79d1\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5177\u6709\u8106\u5f31\u6027\uff0c\u5bb9\u6613\u88ab\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u5bf9\u6297\u6837\u672c\u653b\u51fb.\u68af\u5ea6\u653b\u51fb\u65b9\u6cd5\u5728\u767d\u76d2\u6a21\u578b\u4e0a\u653b\u51fb\u6210\u529f\u7387\u8f83\u9ad8\uff0c\u4f46\u5728\u9ed1\u76d2\u6a21\u578b\u4e0a\u7684\u8fc1\u79fb\u6027\u8f83\u5f31.\u57fa\u4e8eHeavy-ball\u578b\u52a8\u91cf\u548cNesterov\u578b\u52a8\u91cf\u7684\u68af\u5ea6\u653b\u51fb\u65b9\u6cd5\u7531\u4e8e\u5728\u66f4\u65b0\u65b9\u5411\u4e0a\u8003\u8651\u4e86\u5386\u53f2\u68af\u5ea6\u4fe1\u606f\uff0c\u63d0\u5347\u4e86\u5bf9\u6297\u6837\u672c\u7684\u8fc1\u79fb\u6027.\u4e3a\u4e86\u8fdb\u4e00\u6b65\u4f7f\u7528\u5386\u53f2\u68af\u5ea6\u4fe1\u606f\uff0c\u672c\u6587\u9488\u5bf9\u6536\u655b\u6027\u66f4\u597d\u7684Nesterov\u578b\u52a8\u91cf\u65b9\u6cd5\uff0c\u4f7f\u7528\u81ea\u9002\u5e94\u6b65\u957f\u7b56\u7565\u4ee3\u66ff\u76ee\u524d\u5e7f\u6cdb\u4f7f\u7528\u7684\u56fa\u5b9a\u6b65\u957f\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u65b9\u5411\u548c\u6b65\u957f\u5747\u4f7f\u7528\u5386\u53f2\u68af\u5ea6\u4fe1\u606f\u7684\u8fed\u4ee3\u5feb\u901f\u68af\u5ea6\u65b9\u6cd5\uff08Nesterov and Adaptive-learning-rate based Iterative Fast Gradient Method,NAI-FGM\uff09.\u6b64\u5916\uff0c\u672c\u6587\u8fd8\u63d0\u51fa\u4e86\u4e00\u79cd\u7ebf\u6027\u53d8\u6362\u4e0d\u53d8\u6027\uff08Linear-transformation Invariant Method,LIM\uff09\u7684\u6570\u636e\u589e\u5f3a\u65b9\u6cd5 .\u5b9e\u9a8c\u7ed3\u679c\u8bc1\u5b9e\u4e86NAI-FGM\u653b\u51fb\u65b9\u6cd5\u548cLIM\u6570\u636e\u589e\u5f3a\u7b56\u7565\u76f8\u5bf9\u4e8e\u540c\u7c7b\u578b\u65b9\u6cd5\u5747\u5177\u6709\u66f4\u9ad8\u7684\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387.\u7ec4\u5408NAI-FGM\u65b9\u6cd5\u548cLIM\u7b56\u7565\u751f\u6210\u5bf9\u6297\u6837\u672c\uff0c\u5728\u5e38\u89c4\u8bad\u7ec3\u6a21\u578b\u4e0a\u7684\u5e73\u5747\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u8fbe\u523087.8%\uff0c\u5728\u5bf9\u6297\u8bad\u7ec3\u6a21\u578b\u4e0a\u7684\u5e73\u5747\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u8fbe\u523057.5%\uff0c\u5728\u9632\u5fa1\u6a21\u578b\u4e0a\u7684\u5e73\u5747\u9ed1\u76d2\u653b\u51fb\u6210\u529f\u7387\u8fbe\u523067.2%\uff0c\u5747\u8d85\u8fc7\u73b0\u6709\u6700\u9ad8\u6c34\u5e73. "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u9488\u5bf9\u8eab\u4efd\u8bc1\u6587\u672c\u8bc6\u522b\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u7814\u7a76",
|
||||||
|
"authors": [
|
||||||
|
"\u5f90\u660c\u51ef1,2",
|
||||||
|
"\u51af\u536b\u680b1,2",
|
||||||
|
"\u5f20\u6df3\u67701,2",
|
||||||
|
"\u90d1\u6653\u9f993,4,5",
|
||||||
|
"\u5f20\u8f896",
|
||||||
|
"\u738b\u98de\u8dc33,4,5"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u5317\u4eac\u4ea4\u901a\u5927\u5b66\u8ba1\u7b97\u673a\u4e0e\u4fe1\u606f\u6280\u672f\u5b66\u9662\u4fe1\u606f\u79d1\u5b66\u7814\u7a76\u6240",
|
||||||
|
"2. \u73b0\u4ee3\u4fe1\u606f\u79d1\u5b66\u4e0e\u7f51\u7edc\u6280\u672f\u5317\u4eac\u5e02\u91cd\u70b9\u5b9e\u9a8c\u5ba4",
|
||||||
|
"3. \u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u5168\u56fd\u91cd\u70b9\u5b9e\u9a8c\u5ba4",
|
||||||
|
"4. \u4e2d\u56fd\u79d1\u5b66\u9662\u81ea\u52a8\u5316\u7814\u7a76\u6240\u590d\u6742\u7cfb\u7edf\u7ba1\u7406\u4e0e\u63a7\u5236\u56fd\u5bb6\u91cd\u70b9\u5b9e\u9a8c\u5ba4",
|
||||||
|
"5. \u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u5b66\u9662",
|
||||||
|
"6. \u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u4ea4\u901a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u8eab\u4efd\u8bc1\u8ba4\u8bc1\u573a\u666f\u591a\u91c7\u7528\u6587\u672c\u8bc6\u522b\u6a21\u578b\u5bf9\u8eab\u4efd\u8bc1\u56fe\u7247\u7684\u5b57\u6bb5\u8fdb\u884c\u63d0\u53d6\u3001\u8bc6\u522b\u548c\u8eab\u4efd\u8ba4\u8bc1,\u5b58\u5728\u5f88\u5927\u7684\u9690\u79c1\u6cc4\u9732\u9690\u60a3.\u5e76\u4e14,\u5f53\u524d\u57fa\u4e8e\u6587\u672c\u8bc6\u522b\u6a21\u578b\u7684\u5bf9\u6297\u653b\u51fb\u7b97\u6cd5\u5927\u591a\u53ea\u8003\u8651\u7b80\u5355\u80cc\u666f\u7684\u6570\u636e(\u5982\u5370\u5237\u4f53)\u548c\u767d\u76d2\u6761\u4ef6,\u5f88\u96be\u5728\u7269\u7406\u4e16\u754c\u8fbe\u5230\u7406\u60f3\u7684\u653b\u51fb\u6548\u679c,\u4e0d\u9002\u7528\u4e8e\u590d\u6742\u80cc\u666f\u3001\u6570\u636e\u53ca\u9ed1\u76d2\u6761\u4ef6.\u4e3a\u7f13\u89e3\u4e0a\u8ff0\u95ee\u9898,\u672c\u6587\u63d0\u51fa\u9488\u5bf9\u8eab\u4efd\u8bc1\u6587\u672c\u8bc6\u522b\u6a21\u578b\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5,\u8003\u8651\u8f83\u4e3a\u590d\u6742\u7684\u56fe\u50cf\u80cc\u666f\u3001\u66f4\u4e25\u82db\u7684\u9ed1\u76d2\u6761\u4ef6\u4ee5\u53ca\u7269\u7406\u4e16\u754c\u7684\u653b\u51fb\u6548\u679c.\u672c\u7b97\u6cd5\u5728\u57fa\u4e8e\u8fc1\u79fb\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u7684\u57fa\u7840\u4e0a\u5f15\u5165\u4e8c\u503c\u5316\u63a9\u7801\u548c\u7a7a\u95f4\u53d8\u6362,\u5728\u4fdd\u8bc1\u653b\u51fb\u6210\u529f\u7387\u7684\u524d\u63d0\u4e0b\u63d0\u5347\u4e86\u5bf9\u6297\u6837\u672c\u7684\u89c6\u89c9\u6548\u679c\u548c\u7269\u7406\u4e16\u754c\u4e2d\u7684\u9c81\u68d2\u6027.\u901a\u8fc7\u63a2\u7d22\u4e0d\u540c\u8303\u6570\u9650\u5236\u4e0b\u57fa\u4e8e\u8fc1\u79fb\u7684\u9ed1\u76d2\u653b\u51fb\u7b97\u6cd5\u7684\u6027\u80fd\u4e0a\u9650\u548c\u5173\u952e\u8d85\u53c2\u6570\u7684\u5f71\u54cd,\u672c\u7b97\u6cd5\u5728\u767e\u5ea6\u8eab\u4efd\u8bc1\u8bc6\u522b\u6a21\u578b\u4e0a\u5b9e\u73b0\u4e86100%\u7684\u653b\u51fb\u6210\u529f\u7387.\u8eab\u4efd\u8bc1\u6570\u636e\u96c6\u540e\u7eed\u5c06\u5f00\u6e90."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u667a\u80fd\u8fdb\u5316\u7b97\u6cd5\u7684\u53ef\u89c1\u6c34\u5370\u5bf9\u6297\u653b\u51fb",
|
||||||
|
"authors": [
|
||||||
|
"\u5b63\u4fca\u8c6a1",
|
||||||
|
"\u5f20\u7389\u4e661",
|
||||||
|
"\u8d75\u82e5\u5b871",
|
||||||
|
"\u6e29\u6587\u5a962",
|
||||||
|
"\u8463\u74063"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u5357\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u6280\u672f\u5b66\u9662",
|
||||||
|
"2. \u6c5f\u897f\u8d22\u7ecf\u5927\u5b66\u4fe1\u606f\u7ba1\u7406\u5b66\u9662",
|
||||||
|
"3. \u5b81\u6ce2\u5927\u5b66\u4fe1\u606f\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u968f\u7740\u516c\u6c11\u7248\u6743\u610f\u8bc6\u7684\u63d0\u9ad8\uff0c\u8d8a\u6765\u8d8a\u591a\u542b\u6709\u6c34\u5370\u7684\u56fe\u50cf\u51fa\u73b0\u5728\u751f\u6d3b\u4e2d\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684\u7814\u7a76\u8868\u660e\uff0c\u542b\u6709\u6c34\u5370\u7684\u56fe\u50cf\u4f1a\u5bfc\u81f4\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b\u9519\u8bef\uff0c\u8fd9\u5bf9\u795e\u7ecf\u7f51\u7edc\u7684\u666e\u53ca\u548c\u5e94\u7528\u6784\u6210\u4e86\u5de8\u5927\u7684\u5a01\u80c1\u3002\u5bf9\u6297\u8bad\u7ec3\u662f\u89e3\u51b3\u8fd9\u7c7b\u95ee\u9898\u7684\u9632\u5fa1\u65b9\u6cd5\u4e4b\u4e00\uff0c\u4f46\u662f\u9700\u8981\u4f7f\u7528\u5927\u91cf\u7684\u6c34\u5370\u5bf9\u6297\u6837\u672c\u4f5c\u4e3a\u8bad\u7ec3\u6570\u636e\u3002\u4e3a\u6b64\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u667a\u80fd\u8fdb\u5316\u7b97\u6cd5\u7684\u53ef\u89c1\u6c34\u5370\u5bf9\u6297\u653b\u51fb\u65b9\u6cd5\u6765\u751f\u6210\u9ad8\u5f3a\u5ea6\u7684\u6c34\u5370\u5bf9\u6297\u6837\u672c\u3002\u8be5\u65b9\u6cd5\u4e0d\u4ec5\u80fd\u5feb\u901f\u751f\u6210\u6c34\u5370\u5bf9\u6297\u6837\u672c\uff0c\u800c\u4e14\u8fd8\u80fd\u4f7f\u5176\u6700\u5927\u7a0b\u5ea6\u5730\u653b\u51fb\u795e\u7ecf\u7f51\u7edc\u3002\u6b64\u5916\uff0c\u8be5\u65b9\u6cd5\u8fd8\u52a0\u5165\u4e86\u56fe\u50cf\u8d28\u91cf\u8bc4\u4ef7\u6307\u6807\u6765\u7ea6\u675f\u56fe\u50cf\u7684\u89c6\u89c9\u635f\u5931\uff0c\u4ece\u800c\u4f7f\u6c34\u5370\u5bf9\u6297\u6837\u672c\u66f4\u52a0\u7f8e\u89c2\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u6240\u63d0\u65b9\u6cd5\u76f8\u6bd4\u4e8e\u57fa\u51c6\u6c34\u5370\u653b\u51fb\u65b9\u6cd5\u65f6\u95f4\u590d\u6742\u5ea6\u66f4\u4f4e\uff0c\u76f8\u6bd4\u4e8e\u57fa\u51c6\u9ed1\u76d2\u653b\u51fb\u5bf9\u795e\u7ecf\u7f51\u7edc\u653b\u51fb\u6210\u529f\u7387\u66f4\u9ad8\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u566a\u58f0\u7834\u574f\u548c\u6ce2\u5f62\u91cd\u5efa\u7684\u58f0\u7eb9\u5bf9\u6297\u6837\u672c\u9632\u5fa1\u65b9\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u9b4f\u6625\u96e81",
|
||||||
|
"\u5b59\u84991",
|
||||||
|
"\u5f20\u96c4\u4f1f1",
|
||||||
|
"\u90b9\u971e1",
|
||||||
|
"\u5370\u67702"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"1. \u9646\u519b\u5de5\u7a0b\u5927\u5b66\u6307\u6325\u63a7\u5236\u5de5\u7a0b\u5b66\u9662",
|
||||||
|
"2. \u6c5f\u82cf\u8b66\u5b98\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u8bed\u97f3\u662f\u4eba\u7c7b\u6700\u91cd\u8981\u7684\u4ea4\u6d41\u65b9\u5f0f\u4e4b\u4e00\u3002\u8bed\u97f3\u4fe1\u53f7\u4e2d\u9664\u4e86\u6587\u672c\u5185\u5bb9\u5916,\u8fd8\u5305\u542b\u4e86\u8bf4\u8bdd\u4eba\u7684\u8eab\u4efd\u3001\u79cd\u65cf\u3001\u5e74\u9f84\u3001\u6027\u522b\u548c\u60c5\u611f\u7b49\u4e30\u5bcc\u7684\u4fe1\u606f,\u5176\u4e2d\u8bf4\u8bdd\u4eba\u8eab\u4efd\u7684\u8bc6\u522b\u4e5f\u88ab\u79f0\u4e3a\u58f0\u7eb9\u8bc6\u522b,\u662f\u4e00\u79cd\u751f\u7269\u7279\u5f81\u8bc6\u522b\u6280\u672f\u3002\u58f0\u7eb9\u5177\u6709\u83b7\u53d6\u65b9\u4fbf\u3001\u5bb9\u6613\u4fdd\u5b58\u3001\u4f7f\u7528\u7b80\u5355\u7b49\u7279\u70b9,\u800c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u8fdb\u6b65\u4e5f\u6781\u5927\u5730\u4fc3\u8fdb\u4e86\u8bc6\u522b\u51c6\u786e\u7387\u7684\u63d0\u5347,\u56e0\u6b64,\u58f0\u7eb9\u8bc6\u522b\u5df2\u88ab\u5e94\u7528\u4e8e\u667a\u6167\u91d1\u878d\u3001\u667a\u80fd\u5bb6\u5c45\u3001\u8bed\u97f3\u52a9\u624b\u548c\u53f8\u6cd5\u8c03\u67e5\u7b49\u9886\u57df\u3002\u53e6\u4e00\u65b9\u9762,\u9488\u5bf9\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5bf9\u6297\u6837\u672c\u653b\u51fb\u53d7\u5230\u4e86\u5e7f\u6cdb\u5173\u6ce8,\u5728\u8f93\u5165\u4fe1\u53f7\u4e2d\u6dfb\u52a0\u4e0d\u53ef\u611f\u77e5\u7684\u5fae\u5c0f\u6270\u52a8\u5373\u53ef\u5bfc\u81f4\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u9519\u8bef\u3002\u5bf9\u6297\u6837\u672c\u7684\u51fa\u73b0\u5bf9\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u58f0\u7eb9\u8bc6\u522b\u4e5f\u5c06\u9020\u6210\u5de8\u5927\u7684\u5b89\u5168\u5a01\u80c1\u3002\u73b0\u6709\u58f0\u7eb9\u5bf9\u6297\u6837\u672c\u9632\u5fa1\u65b9\u6cd5\u4f1a\u4e0d\u540c\u7a0b\u5ea6\u5730\u5f71\u54cd\u6b63\u5e38\u6837\u672c\u7684\u8bc6\u522b,\u5e76\u4e14\u5c40\u9650\u4e8e\u7279\u5b9a\u7684\u653b\u51fb\u65b9\u6cd5\u6216\u8bc6\u522b\u6a21\u578b,\u9c81\u68d2\u6027\u8f83\u5dee\u3002\u4e3a\u4e86\u4f7f\u5bf9\u6297\u9632\u5fa1\u80fd\u591f\u517c\u987e\u7ea0\u6b63\u9519\u8bef\u8f93\u51fa\u548c\u51c6\u786e\u8bc6\u522b\u6b63\u5e38\u6837\u672c\u4e24\u4e2a\u65b9\u9762,\u672c\u6587\u63d0\u51fa\u4e00\u79cd\u201c\u7834\u574f+\u91cd\u5efa\u201d\u7684\u4e24\u9636\u6bb5\u5bf9\u6297\u6837\u672c\u9632\u5fa1\u65b9\u6cd5\u3002\u7b2c\u4e00\u9636\u6bb5,\u5728\u5bf9\u6297\u6837\u672c\u4e2d\u6dfb\u52a0\u5177\u6709\u4e00\u5b9a\u4fe1\u566a\u6bd4\u5e45\u5ea6\u9650\u5236\u7684\u9ad8\u65af\u767d\u566a\u58f0,\u7834\u574f\u5bf9\u6297\u6270\u52a8\u7684\u7ed3\u6784\u8fdb\u800c\u6d88\u9664\u6837\u672c\u7684\u5bf9\u6297\u6027\u3002\u7b2c\u4e8c\u9636\u6bb5,\u5229\u7528\u63d0\u51fa\u7684\u540d\u4e3aSCAT-Wave-U-Net\u7684\u8bed\u97f3\u589e\u5f3a\u6a21\u578b\u91cd\u5efa\u539f\u59cb\u8bed\u97f3\u6837\u672c,\u901a\u8fc7\u5728Wave-U-Net\u6a21\u578b\u7ed3\u6784\u4e2d\u5f15\u5165Transformer\u5168\u5c40\u591a\u5934\u81ea\u6ce8\u610f\u529b\u548c\u5c42\u95f4\u4ea4\u53c9\u6ce8\u610f\u529b\u673a\u5236,\u4f7f\u6539\u8fdb\u540e\u7684\u6a21\u578b\u66f4\u6709\u52a9\u4e8e\u9632\u5fa1\u58f0\u7eb9\u5bf9\u6297\u6837\u672c\u653b\u51fb\u3002\u5b9e\u9a8c\u8868\u660e,\u63d0\u51fa\u7684\u9632\u5fa1\u65b9\u6cd5\u4e0d\u4f9d\u8d56\u4e8e\u7279\u5b9a\u58f0\u7eb9\u8bc6\u522b\u7cfb\u7edf\u548c\u5bf9\u6297\u6837\u672c\u653b\u51fb\u65b9\u5f0f,\u5728\u4e24\u79cd\u5178\u578b\u7684\u58f0\u7eb9\u8bc6\u522b\u7cfb\u7edf\u4e0b\u5bf9\u591a\u79cd\u7c7b\u578b\u5bf9\u6297\u6837\u672c\u653b\u51fb\u7684\u9632\u5fa1\u6548\u679c\u5747\u4f18\u4e8e\u5176\u4ed6\u9884\u5904\u7406\u9632\u5fa1\u65b9\u6cd5\u3002 "
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u653b\u9632\u7814\u7a76\u7efc\u8ff0",
|
||||||
|
"authors": [
|
||||||
|
"\u9a6c\u751c",
|
||||||
|
"\u5f20\u56fd\u6881",
|
||||||
|
"\u90ed\u6653\u519b"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u897f\u85cf\u6c11\u65cf\u5927\u5b66\u4fe1\u606f\u5de5\u7a0b\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u968f\u7740\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\uff0c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u9886\u57df\u5df2\u7ecf\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u6b65\u3002\u7136\u800c\uff0cNLP\u6a21\u578b\u8fd8\u5b58\u5728\u5b89\u5168\u6027\u6f0f\u6d1e\u3002\u6587\u7ae0\u5206\u6790\u4e86\u6df1\u5ea6\u5b66\u4e60\u5728NLP\u4e09\u5927\u6838\u5fc3\u4efb\u52a1\uff08\u5305\u62ec\u6587\u672c\u8868\u793a\u3001\u8bed\u5e8f\u5efa\u6a21\u548c\u77e5\u8bc6\u8868\u793a\uff09\u4e2d\u7684\u5e94\u7528\u73b0\u72b6\uff0c\u9488\u5bf9\u6587\u672c\u751f\u6210\u3001\u6587\u672c\u5206\u7c7b\u4ee5\u53ca\u8bed\u4e49\u89e3\u6790\u9762\u4e34\u7684\u653b\u51fb\u6280\u672f\uff0c\u63a2\u8ba8\u4e86\u5bf9\u6297\u6027\u8bad\u7ec3\u3001\u6b63\u5219\u5316\u6280\u672f\u3001\u6a21\u578b\u84b8\u998f\u7b49\u4e00\u7cfb\u5217\u9632\u5fa1\u6280\u672f\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6548\u7528\u548c\u5c40\u9650\uff0c\u5e76\u901a\u8fc7\u6587\u672c\u5206\u7c7b\u4efb\u52a1\u7684\u5b9e\u8bc1\u7814\u7a76\u9a8c\u8bc1\u4e86\u96c6\u6210\u5bf9\u6297\u8bad\u7ec3\u7684\u6709\u6548\u6027\u3002"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "\u4e00\u79cd\u57fa\u4e8e\u8f6e\u5ed3\u7a00\u758f\u5bf9\u6297\u7684\u89c6\u9891\u6b65\u6001\u9690\u79c1\u4fdd\u62a4\u7b97\u6cd5",
|
||||||
|
"authors": [
|
||||||
|
"\u8bb8\u53ef",
|
||||||
|
"\u674e\u5609\u6021",
|
||||||
|
"\u848b\u5174\u6d69",
|
||||||
|
"\u5b59\u952c\u950b"
|
||||||
|
],
|
||||||
|
"affiliations": [
|
||||||
|
"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u7f51\u7edc\u7a7a\u95f4\u5b89\u5168\u5b66\u9662"
|
||||||
|
],
|
||||||
|
"abstract": "\u6df1\u5ea6\u7f51\u7edc\u6a21\u578b\u53ef\u4ee5\u4ece\u89c6\u9891\u6b65\u6001\u5e8f\u5217\u4e2d\u83b7\u53d6\u4eba\u4f53\u6b65\u6001\u751f\u7269\u7279\u5f81\u5e76\u8bc6\u522b\u4eba\u7269\u8eab\u4efd,\u9020\u6210\u4e25\u91cd\u7684\u9690\u79c1\u6cc4\u9732\u5b89\u5168\u5a01\u80c1\u3002\u73b0\u6709\u65b9\u6cd5\u4e00\u822c\u901a\u8fc7\u5bf9\u89c6\u9891\u753b\u9762\u4e2d\u7684\u4eba\u4f53\u8fdb\u884c\u6a21\u7cca\u3001\u53d8\u5f62\u7b49\u5904\u7406\u6765\u4fdd\u62a4\u9690\u79c1,\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u6539\u53d8\u4eba\u4f53\u5916\u89c2,\u4f46\u5f88\u96be\u6539\u53d8\u4eba\u7269\u884c\u8d70\u59ff\u6001,\u96be\u4ee5\u9003\u907f\u6df1\u5ea6\u7f51\u7edc\u6a21\u578b\u7684\u8bc6\u522b,\u4e14\u8fd9\u79cd\u5904\u7406\u5f80\u5f80\u4f34\u968f\u7740\u5bf9\u89c6\u9891\u8d28\u91cf\u7684\u4e25\u91cd\u7834\u574f,\u964d\u4f4e\u4e86\u89c6\u9891\u7684\u89c6\u89c9\u53ef\u7528\u6027\u3002\u9488\u5bf9\u8be5\u95ee\u9898,\u6587\u7ae0\u63d0\u51fa\u4e00\u79cd\u57fa\u4e8e\u8f6e\u5ed3\u7a00\u758f\u5bf9\u6297\u7684\u89c6\u9891\u6b65\u6001\u9690\u79c1\u4fdd\u62a4\u7b97\u6cd5,\u901a\u8fc7\u5bf9\u6b65\u6001\u8bc6\u522b\u6a21\u578b\u7684\u5bf9\u6297\u653b\u51fb\u6765\u8ba1\u7b97\u753b\u9762\u4e2d\u4eba\u4f53\u8f6e\u5ed3\u5468\u56f4\u7684\u6709\u6548\u4fee\u6539\u4f4d\u7f6e\u3002\u4e0e\u4f20\u7edf\u65b9\u6cd5\u76f8\u6bd4,\u5728\u5177\u6709\u76f8\u540c\u9690\u79c1\u4fdd\u62a4\u80fd\u529b\u7684\u60c5\u51b5\u4e0b,\u8be5\u7b97\u6cd5\u51cf\u5c11\u4e86\u5bf9\u753b\u9762\u7684\u4fee\u6539,\u5728\u9690\u79c1\u5b89\u5168\u6027\u548c\u89c6\u89c9\u53ef\u7528\u6027\u4e0a\u8fbe\u5230\u4e86\u8f83\u597d\u7684\u5747\u8861\u3002\u8be5\u7b97\u6cd5\u5728\u516c\u5f00\u6b65\u6001\u6570\u636e\u5e93CASIA-B\u548cOUMVLP\u4e0a\u5bf94\u79cd\u6b65\u6001\u8bc6\u522b\u6a21\u578b\u8fdb\u884c\u6d4b\u8bd5,\u901a\u8fc7\u4e0e\u4e0d\u540c\u6b65\u6001\u9690\u79c1\u4fdd\u62a4\u65b9\u6cd5\u5bf9\u6bd4,\u9a8c\u8bc1\u4e86\u8be5\u7b97\u6cd5\u5728\u6b65\u6001\u9690\u79c1\u4fdd\u62a4\u4e0a\u7684\u6709\u6548\u6027\u548c\u53ef\u7528\u6027\u3002"
|
||||||
|
}
|
||||||
|
]
|
||||||
File diff suppressed because one or more lines are too long
|
|
@ -0,0 +1,14 @@
|
||||||
|
from serpapi import GoogleSearch
|
||||||
|
# GoogleSearch
|
||||||
|
params = {
|
||||||
|
"q": "Coffee",
|
||||||
|
"location": "Austin, Texas, United States",
|
||||||
|
"hl": "en",
|
||||||
|
"gl": "us",
|
||||||
|
"google_domain": "google.com",
|
||||||
|
"api_key": "681ac1d6fe9958124d39f25ea5afd759b63f45e52cac7e85629655024661166e"
|
||||||
|
}
|
||||||
|
|
||||||
|
search = GoogleSearch(params)
|
||||||
|
results = search.get_dict()
|
||||||
|
print(results)
|
||||||
|
|
@ -0,0 +1,150 @@
|
||||||
|
import undetected_chromedriver as uc
|
||||||
|
import time
|
||||||
|
import random
|
||||||
|
import json
|
||||||
|
import matplotlib.pyplot as plt # 数据可视化
|
||||||
|
import jieba # 词语切割
|
||||||
|
import wordcloud # 分词
|
||||||
|
from wordcloud import WordCloud, ImageColorGenerator, STOPWORDS # 词云，颜色生成器，停止词
|
||||||
|
import numpy as np # 科学计算
|
||||||
|
from PIL import Image # 处理图片
|
||||||
|
from bs4 import BeautifulSoup
|
||||||
|
from lxml import etree
|
||||||
|
|
||||||
|
|
||||||
|
# def get_current_page_result(driver):
|
||||||
|
# """ 采集一页里的所有item """
|
||||||
|
# result_area = driver.find_element(by="id", value="ModuleSearchResult")
|
||||||
|
# current_page_results = result_area.find_elements(by="xpath", value='//tbody/tr')
|
||||||
|
#
|
||||||
|
# names = [r.find_element(by="xpath", value='td[@class="name"]') for r in current_page_results]
|
||||||
|
# links = [r.find_element(by="xpath", value='td[@class="name"]/a').get_attribute("href") for r in current_page_results]
|
||||||
|
#
|
||||||
|
# items = get_items(driver, links)
|
||||||
|
# return items
|
||||||
|
|
||||||
|
|
||||||
|
def get_items(driver, links):
|
||||||
|
items = []
|
||||||
|
for i, l in enumerate(links):
|
||||||
|
item = get_item(driver, l)
|
||||||
|
items.append(item)
|
||||||
|
return items
|
||||||
|
|
||||||
|
|
||||||
|
def get_item(driver, link):
|
||||||
|
item = {}
|
||||||
|
driver.get(link) # 获取新的论文链接
|
||||||
|
time.sleep(5 + 3 * random.random()) # 等等加载完成
|
||||||
|
|
||||||
|
# 标题
|
||||||
|
name = driver.find_element(by="xpath", value='//h1[contains(@class, "title")]').text
|
||||||
|
item["name"] = name
|
||||||
|
|
||||||
|
# 作者
|
||||||
|
names_element = driver.find_elements(by="xpath", value='//div[@class="authors"]//a')
|
||||||
|
names = [n_ele.text for n_ele in names_element]
|
||||||
|
item["authors"] = ",".join(names)
|
||||||
|
|
||||||
|
# 单位
|
||||||
|
item["affiliations"] = "no"
|
||||||
|
|
||||||
|
# 摘要
|
||||||
|
# 如果有更多，先点更多
|
||||||
|
# try:
|
||||||
|
# more_bn = driver.find_element(by="id", value="ChDivSummaryMore")
|
||||||
|
# more_bn.click()
|
||||||
|
# time.sleep(1 + 1 * random.random()) # 等等加载完成
|
||||||
|
# except:
|
||||||
|
# more_bn = None
|
||||||
|
|
||||||
|
abstract_area = driver.find_element(by="xpath", value='//blockquote[contains(@class, "abstract")]')
|
||||||
|
abstract = abstract_area.text
|
||||||
|
item["abstract"] = abstract
|
||||||
|
|
||||||
|
return item
|
||||||
|
|
||||||
|
|
||||||
|
def get_links_etree(driver):
|
||||||
|
dom = etree.HTML(driver.page_source)
|
||||||
|
links = dom.xpath('//ol[@class="breathe-horizontal"]/li/div/p/a/@href')
|
||||||
|
return links
|
||||||
|
|
||||||
|
|
||||||
|
def get_news_from_arxiv(total_num, keyword):
|
||||||
|
keyword = [i.strip() for i in keyword.strip().split()]
|
||||||
|
url = f"https://arxiv.org/search/?query={'+'.join(keyword)}&searchtype=all&source=header"
|
||||||
|
driver = uc.Chrome()
|
||||||
|
driver.get(url)
|
||||||
|
# time.sleep(3 + 2 * random.random()) # 等等加载完成
|
||||||
|
# # 搜索
|
||||||
|
# input_button = driver.find_element(by="id", value="txt_SearchText")
|
||||||
|
# input_button.send_keys(keyword)
|
||||||
|
# time.sleep(1 + 1 * random.random()) # 等等加载完成
|
||||||
|
#
|
||||||
|
# search_bn = driver.find_element(by="xpath", value='//input[@class="search-btn"]')
|
||||||
|
# search_bn.click()
|
||||||
|
time.sleep(5 + 3 * random.random()) # 等等加载完成
|
||||||
|
|
||||||
|
# 获取相应的链接
|
||||||
|
links = []
|
||||||
|
stop_flag = False
|
||||||
|
|
||||||
|
while not stop_flag:
|
||||||
|
link_current_page = get_links_etree(driver)
|
||||||
|
links.extend(link_current_page)
|
||||||
|
|
||||||
|
if len(links) < total_num:
|
||||||
|
# 下一页
|
||||||
|
try:
|
||||||
|
next_page_btn = driver.find_element(by="xpath", value='//a[@class="pagination-next"]')
|
||||||
|
next_page_btn.click()
|
||||||
|
time.sleep(2 + 2 * random.random()) # 等等加载完成
|
||||||
|
# driver.refresh()
|
||||||
|
# time.sleep(2 + 2 * random.random()) # 等等加载完成
|
||||||
|
except Exception as e:
|
||||||
|
print("没有下一页，返回当前的采集的所有结果", e)
|
||||||
|
stop_flag = True
|
||||||
|
total_num = len(links)
|
||||||
|
else:
|
||||||
|
# 超过了需要的连接数就停止
|
||||||
|
stop_flag = True
|
||||||
|
|
||||||
|
links = links[:total_num]
|
||||||
|
|
||||||
|
results = get_items(driver, links)
|
||||||
|
|
||||||
|
with open(f"result_arxiv_{'_'.join(keyword)}.json", "w", encoding="utf8") as f:
|
||||||
|
f.write(json.dumps(results))
|
||||||
|
|
||||||
|
driver.close()
|
||||||
|
return results
|
||||||
|
|
||||||
|
|
||||||
|
def get_clouds(word_list):
|
||||||
|
text = "，".join(word_list)
|
||||||
|
wordlist = jieba.lcut(text) # 切割词语
|
||||||
|
space_list = ' '.join(wordlist) # 空格链接词语
|
||||||
|
# backgroud = np.array(Image.open('test1.jpg'))
|
||||||
|
|
||||||
|
wc = WordCloud(width=400, height=300,
|
||||||
|
background_color='white',
|
||||||
|
mode='RGB',
|
||||||
|
# mask=backgroud, # 添加蒙版，生成指定形状的词云，并且词云图的颜色可从蒙版里提取
|
||||||
|
max_words=200,
|
||||||
|
stopwords=STOPWORDS.update(('in', "of", "for")), # 内置的屏蔽词,并添加自己设置的词语
|
||||||
|
font_path='C:\Windows\Fonts\STZHONGS.ttf',
|
||||||
|
max_font_size=100,
|
||||||
|
relative_scaling=0.6, # 设置字体大小与词频的关联程度为0.4
|
||||||
|
random_state=50,
|
||||||
|
scale=2
|
||||||
|
).generate(space_list)
|
||||||
|
|
||||||
|
# image_color = ImageColorGenerator(backgroud) # 设置生成词云的颜色，如去掉这两行则字体为默认颜色
|
||||||
|
# wc.recolor(color_func=image_color)
|
||||||
|
|
||||||
|
return wc.to_array()
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
get_news_from_arxiv(5, "knowledge graph")
|
||||||
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1,658 @@
|
||||||
|
from bs4 import BeautifulSoup
|
||||||
|
import pickle
|
||||||
|
import os
|
||||||
|
|
||||||
|
os.environ['http_proxy'] = '127.0.0.1:7890'
|
||||||
|
os.environ['https_proxy'] = '127.0.0.1:7890'
|
||||||
|
|
||||||
|
from tqdm import tqdm
|
||||||
|
from slugify import slugify
|
||||||
|
import csv
|
||||||
|
import sys
|
||||||
|
|
||||||
|
import urllib
|
||||||
|
import random
|
||||||
|
from urllib.error import URLError, HTTPError
|
||||||
|
|
||||||
|
import requests
|
||||||
|
|
||||||
|
|
||||||
|
class Downloader:
|
||||||
|
def __init__(self, downloader=None, is_random_step=None):
|
||||||
|
pass
|
||||||
|
|
||||||
|
def download(self, urls=None, save_path=None, time_sleep_in_seconds=None):
|
||||||
|
print(urls)
|
||||||
|
headers = {
|
||||||
|
'User-Agent':
|
||||||
|
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20100101 Firefox/23.0'}
|
||||||
|
content = urlopen_with_retry(url=urls, headers=headers)
|
||||||
|
with open(save_path, 'wb') as f:
|
||||||
|
f.write(content)
|
||||||
|
|
||||||
|
|
||||||
|
def download_from_csv_i(
|
||||||
|
postfix=None, save_dir=None, csv_file_path=None, is_download_main_paper=True,
|
||||||
|
is_download_bib=True, is_download_supplement=True,
|
||||||
|
time_step_in_seconds=5, total_paper_number=None,
|
||||||
|
downloader='IDM', is_random_step=True):
|
||||||
|
"""
|
||||||
|
download paper, bibtex and supplement files and save them to
|
||||||
|
save_dir/main_paper and save_dir/supplement respectively
|
||||||
|
:param postfix: str, postfix that will be added at the end of papers' title
|
||||||
|
:param save_dir: str, paper and supplement material's save path
|
||||||
|
:param csv_file_path: str, the full path to csv file
|
||||||
|
:param is_download_main_paper: bool, True for downloading main paper
|
||||||
|
:param is_download_supplement: bool, True for downloading supplemental
|
||||||
|
material
|
||||||
|
:param time_step_in_seconds: int, the interval time between two downloading
|
||||||
|
request in seconds
|
||||||
|
:param total_paper_number: int, the total number of papers that is going to
|
||||||
|
download
|
||||||
|
:param downloader: str, the downloader to download, could be 'IDM' or None,
|
||||||
|
default to 'IDM'.
|
||||||
|
:param is_random_step: bool, whether random sample the time step between two
|
||||||
|
adjacent download requests. If True, the time step will be sampled
|
||||||
|
from Uniform(0.5t, 1.5t), where t is the given time_step_in_seconds.
|
||||||
|
Default: True.
|
||||||
|
:return: True
|
||||||
|
"""
|
||||||
|
downloader = Downloader(
|
||||||
|
downloader=downloader, is_random_step=is_random_step)
|
||||||
|
if not os.path.exists(csv_file_path):
|
||||||
|
raise ValueError(f'ERROR: file not found in {csv_file_path}!!!')
|
||||||
|
|
||||||
|
main_save_path = os.path.join(save_dir, 'main_paper')
|
||||||
|
if is_download_main_paper:
|
||||||
|
os.makedirs(main_save_path, exist_ok=True)
|
||||||
|
if is_download_supplement:
|
||||||
|
supplement_save_path = os.path.join(save_dir, 'supplement')
|
||||||
|
os.makedirs(supplement_save_path, exist_ok=True)
|
||||||
|
|
||||||
|
error_log = []
|
||||||
|
with open(csv_file_path, newline='') as csvfile:
|
||||||
|
myreader = csv.DictReader(csvfile, delimiter=',')
|
||||||
|
pbar = tqdm(myreader, total=total_paper_number)
|
||||||
|
i = 0
|
||||||
|
for this_paper in pbar:
|
||||||
|
is_download_bib &= ('bib' in this_paper)
|
||||||
|
is_grouped = ('group' in this_paper)
|
||||||
|
i += 1
|
||||||
|
# get title
|
||||||
|
if is_grouped:
|
||||||
|
group = slugify(this_paper['group'])
|
||||||
|
title = slugify(this_paper['title'])
|
||||||
|
if total_paper_number is not None:
|
||||||
|
pbar.set_description(
|
||||||
|
f'Downloading {postfix} paper {i} /{total_paper_number}')
|
||||||
|
else:
|
||||||
|
pbar.set_description(f'Downloading {postfix} paper {i}')
|
||||||
|
this_paper_main_path = os.path.join(
|
||||||
|
main_save_path, f'{title}_{postfix}.pdf')
|
||||||
|
if is_grouped:
|
||||||
|
this_paper_main_path = os.path.join(
|
||||||
|
main_save_path, group, f'{title}_{postfix}.pdf')
|
||||||
|
if is_download_supplement:
|
||||||
|
this_paper_supp_path_no_ext = os.path.join(
|
||||||
|
supplement_save_path, f'{title}_{postfix}_supp.')
|
||||||
|
if is_grouped:
|
||||||
|
this_paper_supp_path_no_ext = os.path.join(
|
||||||
|
supplement_save_path, group, f'{title}_{postfix}_supp.')
|
||||||
|
if '' != this_paper['supplemental link'] and os.path.exists(
|
||||||
|
this_paper_main_path) and \
|
||||||
|
(os.path.exists(
|
||||||
|
this_paper_supp_path_no_ext + 'zip') or
|
||||||
|
os.path.exists(
|
||||||
|
this_paper_supp_path_no_ext + 'pdf')):
|
||||||
|
continue
|
||||||
|
elif '' == this_paper['supplemental link'] and \
|
||||||
|
os.path.exists(this_paper_main_path):
|
||||||
|
continue
|
||||||
|
elif os.path.exists(this_paper_main_path):
|
||||||
|
continue
|
||||||
|
if 'error' == this_paper['main link']:
|
||||||
|
error_log.append((title, 'no MAIN link'))
|
||||||
|
elif '' != this_paper['main link']:
|
||||||
|
if is_grouped:
|
||||||
|
if is_download_main_paper:
|
||||||
|
os.makedirs(os.path.join(main_save_path, group),
|
||||||
|
exist_ok=True)
|
||||||
|
if is_download_supplement:
|
||||||
|
os.makedirs(os.path.join(supplement_save_path, group),
|
||||||
|
exist_ok=True)
|
||||||
|
if is_download_main_paper:
|
||||||
|
try:
|
||||||
|
# download paper with IDM
|
||||||
|
if not os.path.exists(this_paper_main_path):
|
||||||
|
downloader.download(
|
||||||
|
urls=this_paper['main link'].replace(
|
||||||
|
' ', '%20'),
|
||||||
|
save_path=os.path.join(
|
||||||
|
os.getcwd(), this_paper_main_path),
|
||||||
|
time_sleep_in_seconds=time_step_in_seconds
|
||||||
|
)
|
||||||
|
except Exception as e:
|
||||||
|
# error_flag = True
|
||||||
|
print('Error: ' + title + ' - ' + str(e))
|
||||||
|
error_log.append((title, this_paper['main link'],
|
||||||
|
'main paper download error', str(e)))
|
||||||
|
# download supp
|
||||||
|
if is_download_supplement:
|
||||||
|
# check whether the supp can be downloaded
|
||||||
|
if not (os.path.exists(
|
||||||
|
this_paper_supp_path_no_ext + 'zip') or
|
||||||
|
os.path.exists(
|
||||||
|
this_paper_supp_path_no_ext + 'pdf')):
|
||||||
|
if 'error' == this_paper['supplemental link']:
|
||||||
|
error_log.append((title, 'no SUPPLEMENTAL link'))
|
||||||
|
elif '' != this_paper['supplemental link']:
|
||||||
|
supp_type = \
|
||||||
|
this_paper['supplemental link'].split('.')[-1]
|
||||||
|
try:
|
||||||
|
downloader.download(
|
||||||
|
urls=this_paper['supplemental link'],
|
||||||
|
save_path=os.path.join(
|
||||||
|
os.getcwd(),
|
||||||
|
this_paper_supp_path_no_ext + supp_type),
|
||||||
|
time_sleep_in_seconds=time_step_in_seconds
|
||||||
|
)
|
||||||
|
except Exception as e:
|
||||||
|
# error_flag = True
|
||||||
|
print('Error: ' + title + ' - ' + str(e))
|
||||||
|
error_log.append((title, this_paper[
|
||||||
|
'supplemental link'],
|
||||||
|
'supplement download error',
|
||||||
|
str(e)))
|
||||||
|
# download bibtex file
|
||||||
|
if is_download_bib:
|
||||||
|
bib_path = this_paper_main_path[:-3] + 'bib'
|
||||||
|
if not os.path.exists(bib_path):
|
||||||
|
if 'error' == this_paper['bib']:
|
||||||
|
error_log.append((title, 'no bibtex link'))
|
||||||
|
elif '' != this_paper['bib']:
|
||||||
|
try:
|
||||||
|
downloader.download(
|
||||||
|
urls=this_paper['bib'],
|
||||||
|
save_path=os.path.join(os.getcwd(),
|
||||||
|
bib_path),
|
||||||
|
time_sleep_in_seconds=time_step_in_seconds
|
||||||
|
)
|
||||||
|
except Exception as e:
|
||||||
|
# error_flag = True
|
||||||
|
print('Error: ' + title + ' - ' + str(e))
|
||||||
|
error_log.append((title, this_paper['bib'],
|
||||||
|
'bibtex download error',
|
||||||
|
str(e)))
|
||||||
|
|
||||||
|
# 2. write error log
|
||||||
|
print('write error log')
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
def get_paper_name_link_from_url(url):
|
||||||
|
headers = {
|
||||||
|
'User-Agent':
|
||||||
|
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20100101 Firefox/23.0'}
|
||||||
|
paper_dict = dict()
|
||||||
|
content = urlopen_with_retry(url=url, headers=headers)
|
||||||
|
soup = BeautifulSoup(content, 'html5lib')
|
||||||
|
paper_list_bar = tqdm(soup.find_all(['li'], {'class': 'chapter-item content-type-list__item'}))
|
||||||
|
for paper in paper_list_bar:
|
||||||
|
try:
|
||||||
|
title = slugify(paper.find('div', {'class': 'content-type-list__title'}).text)
|
||||||
|
link = urllib.parse.urljoin(url, paper.find('div', {'class': 'content-type-list__action'}).a.get('href'))
|
||||||
|
paper_dict[title] = link
|
||||||
|
except Exception as e:
|
||||||
|
print(f'ERROR: {str(e)}')
|
||||||
|
return paper_dict
|
||||||
|
|
||||||
|
|
||||||
|
def urlopen_with_retry(url, headers=dict(), retry_time=3, time_out=20,
|
||||||
|
raise_error_if_failed=True):
|
||||||
|
"""
|
||||||
|
load content from url with given headers. Retry if error occurs.
|
||||||
|
Args:
|
||||||
|
url (str): url.
|
||||||
|
headers (dict): request headers. Default: {}.
|
||||||
|
retry_time (int): max retry time. Default: 3.
|
||||||
|
time_out (int): time out in seconds. Default: 10.
|
||||||
|
raise_error_if_failed (bool): whether to raise error if failed.
|
||||||
|
Default: True.
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
content(str|None): url content. None will be returned if failed.
|
||||||
|
|
||||||
|
"""
|
||||||
|
res = requests.get(url=url, headers=headers)
|
||||||
|
|
||||||
|
# req = urllib.request.Request(url=url, headers=headers)
|
||||||
|
for r in range(retry_time):
|
||||||
|
try:
|
||||||
|
# content = urllib.request.urlopen(req, timeout=time_out).read()
|
||||||
|
content = res.content
|
||||||
|
return content
|
||||||
|
except HTTPError as e:
|
||||||
|
print('The server couldn\'t fulfill the request.')
|
||||||
|
print('Error code: ', e.code)
|
||||||
|
s = random.randint(3, 7)
|
||||||
|
print(f'random sleeping {s} seconds and doing {r + 1}/{retry_time}'
|
||||||
|
f'-th retrying...')
|
||||||
|
except URLError as e:
|
||||||
|
print('We failed to reach a server.')
|
||||||
|
print('Reason: ', e.reason)
|
||||||
|
s = random.randint(3, 7)
|
||||||
|
print(f'random sleeping {s} seconds and doing {r + 1}/{retry_time}'
|
||||||
|
f'-th retrying...')
|
||||||
|
if raise_error_if_failed:
|
||||||
|
raise ValueError(f'Failed to open {url} after trying {retry_time} '
|
||||||
|
f'times!')
|
||||||
|
else:
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
|
def save_csv(year):
|
||||||
|
"""
|
||||||
|
write ECCV papers' and supplemental material's urls in one csv file
|
||||||
|
:param year: int
|
||||||
|
:return: True
|
||||||
|
"""
|
||||||
|
project_root_folder = r"D:\py\keyan_qingbao\te_u\paper_down_load"
|
||||||
|
csv_file_pathname = os.path.join(
|
||||||
|
project_root_folder, 'csv', f'ECCV_{year}.csv')
|
||||||
|
with open(csv_file_pathname, 'w', newline='') as csvfile:
|
||||||
|
fieldnames = ['title', 'main link', 'supplemental link']
|
||||||
|
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
|
||||||
|
writer.writeheader()
|
||||||
|
headers = {
|
||||||
|
'User-Agent':
|
||||||
|
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) '
|
||||||
|
'Gecko/20100101 Firefox/23.0'}
|
||||||
|
dat_file_pathname = os.path.join(
|
||||||
|
project_root_folder, 'urls', f'init_url_ECCV_{year}.dat')
|
||||||
|
if year >= 2018:
|
||||||
|
init_url = f'https://www.ecva.net/papers.php'
|
||||||
|
if os.path.exists(dat_file_pathname):
|
||||||
|
with open(dat_file_pathname, 'rb') as f:
|
||||||
|
content = pickle.load(f)
|
||||||
|
else:
|
||||||
|
content = urlopen_with_retry(url=init_url, headers=headers)
|
||||||
|
with open(dat_file_pathname, 'wb') as f:
|
||||||
|
pickle.dump(content, f)
|
||||||
|
soup = BeautifulSoup(content, 'html5lib')
|
||||||
|
paper_list_bar = tqdm(soup.find_all(['dt', 'dd']))
|
||||||
|
paper_index = 0
|
||||||
|
paper_dict = {'title': '',
|
||||||
|
'main link': '',
|
||||||
|
'supplemental link': ''}
|
||||||
|
for paper in paper_list_bar:
|
||||||
|
is_new_paper = False
|
||||||
|
|
||||||
|
# get title
|
||||||
|
try:
|
||||||
|
if 'dt' == paper.name and \
|
||||||
|
'ptitle' == paper.get('class')[0] and \
|
||||||
|
year == int(paper.a.get('href').split('_')[1][:4]): # title:
|
||||||
|
# this_year = int(paper.a.get('href').split('_')[1][:4])
|
||||||
|
title = slugify(paper.text.strip())
|
||||||
|
paper_dict['title'] = title
|
||||||
|
paper_index += 1
|
||||||
|
paper_list_bar.set_description_str(
|
||||||
|
f'Downloading paper {paper_index}: {title}')
|
||||||
|
elif '' != paper_dict['title'] and 'dd' == paper.name:
|
||||||
|
all_as = paper.find_all('a')
|
||||||
|
for a in all_as:
|
||||||
|
if 'pdf' == slugify(a.text.strip()):
|
||||||
|
main_link = urllib.parse.urljoin(init_url,
|
||||||
|
a.get('href'))
|
||||||
|
paper_dict['main link'] = main_link
|
||||||
|
is_new_paper = True
|
||||||
|
elif 'supp' == slugify(a.text.strip())[:4]:
|
||||||
|
supp_link = urllib.parse.urljoin(init_url,
|
||||||
|
a.get('href'))
|
||||||
|
paper_dict['supplemental link'] = supp_link
|
||||||
|
break
|
||||||
|
except:
|
||||||
|
pass
|
||||||
|
if is_new_paper:
|
||||||
|
writer.writerow(paper_dict)
|
||||||
|
paper_dict = {'title': '',
|
||||||
|
'main link': '',
|
||||||
|
'supplemental link': ''}
|
||||||
|
else:
|
||||||
|
init_url = f'http://www.eccv{year}.org/main-conference/'
|
||||||
|
if os.path.exists(dat_file_pathname):
|
||||||
|
with open(dat_file_pathname, 'rb') as f:
|
||||||
|
content = pickle.load(f)
|
||||||
|
else:
|
||||||
|
content = urlopen_with_retry(url=init_url, headers=headers)
|
||||||
|
with open(dat_file_pathname, 'wb') as f:
|
||||||
|
pickle.dump(content, f)
|
||||||
|
soup = BeautifulSoup(content, 'html5lib')
|
||||||
|
paper_list_bar = tqdm(
|
||||||
|
soup.find('div', {'class': 'entry-content'}).find_all(['p']))
|
||||||
|
paper_index = 0
|
||||||
|
paper_dict = {'title': '',
|
||||||
|
'main link': '',
|
||||||
|
'supplemental link': ''}
|
||||||
|
for paper in paper_list_bar:
|
||||||
|
try:
|
||||||
|
if len(paper.find_all(['strong'])) and len(
|
||||||
|
paper.find_all(['a'])) and len(paper.find_all(['img'])):
|
||||||
|
paper_index += 1
|
||||||
|
title = slugify(paper.find('strong').text)
|
||||||
|
paper_dict['title'] = title
|
||||||
|
paper_list_bar.set_description_str(
|
||||||
|
f'Downloading paper {paper_index}: {title}')
|
||||||
|
main_link = paper.find('a').get('href')
|
||||||
|
paper_dict['main link'] = main_link
|
||||||
|
writer.writerow(paper_dict)
|
||||||
|
paper_dict = {'title': '',
|
||||||
|
'main link': '',
|
||||||
|
'supplemental link': ''}
|
||||||
|
except Exception as e:
|
||||||
|
print(f'ERROR: {str(e)}')
|
||||||
|
return paper_index
|
||||||
|
|
||||||
|
|
||||||
|
def download_from_csv(
|
||||||
|
year, save_dir, is_download_supplement=True, time_step_in_seconds=5,
|
||||||
|
total_paper_number=None,
|
||||||
|
is_workshops=False, downloader='IDM'):
|
||||||
|
"""
|
||||||
|
download all ECCV paper and supplement files given year, restore in
|
||||||
|
save_dir/main_paper and save_dir/supplement respectively
|
||||||
|
:param year: int, ECCV year, such 2019
|
||||||
|
:param save_dir: str, paper and supplement material's save path
|
||||||
|
:param is_download_supplement: bool, True for downloading supplemental
|
||||||
|
material
|
||||||
|
:param time_step_in_seconds: int, the interval time between two downlaod
|
||||||
|
request in seconds
|
||||||
|
:param total_paper_number: int, the total number of papers that is going
|
||||||
|
to download
|
||||||
|
:param is_workshops: bool, is to download workshops from csv file.
|
||||||
|
:param downloader: str, the downloader to download, could be 'IDM' or
|
||||||
|
'Thunder', default to 'IDM'
|
||||||
|
:return: True
|
||||||
|
"""
|
||||||
|
postfix = f'ECCV_{year}'
|
||||||
|
if is_workshops:
|
||||||
|
postfix = f'ECCV_WS_{year}'
|
||||||
|
csv_file_name = f'ECCV_{year}.csv' if not is_workshops else \
|
||||||
|
f'ECCV_WS_{year}.csv'
|
||||||
|
project_root_folder = r"D:\py\keyan_qingbao\te_u\paper_down_load"
|
||||||
|
csv_file_name = os.path.join(project_root_folder, 'csv', csv_file_name)
|
||||||
|
download_from_csv_i(
|
||||||
|
postfix=postfix,
|
||||||
|
save_dir=save_dir,
|
||||||
|
csv_file_path=csv_file_name,
|
||||||
|
is_download_supplement=is_download_supplement,
|
||||||
|
time_step_in_seconds=time_step_in_seconds,
|
||||||
|
total_paper_number=total_paper_number,
|
||||||
|
downloader=downloader
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def download_from_springer(
|
||||||
|
year, save_dir, is_workshops=False, time_sleep_in_seconds=5,
|
||||||
|
downloader='IDM'):
|
||||||
|
os.makedirs(save_dir, exist_ok=True)
|
||||||
|
if 2018 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01246-5',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01216-8',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01219-9',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01225-0',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01228-1',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01231-1',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01234-2',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01237-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01240-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01249-6',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01252-6',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01258-8',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01261-8',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01264-9',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01267-0',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-01270-0'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-11009-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-11012-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-11015-4',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-11018-5',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-11021-5',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-030-11024-6'
|
||||||
|
]
|
||||||
|
elif 2016 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46448-0',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46475-6',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46487-9',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46493-0',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46454-1',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46466-4',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46478-7',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46484-8'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-46604-0',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-48881-3',
|
||||||
|
'https://link.springer.com/book/10.1007%2F978-3-319-49409-8'
|
||||||
|
]
|
||||||
|
elif 2014 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10590-1',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10605-2',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10578-9',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10593-2',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10602-1',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10599-4',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-10584-0'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-16178-5',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-16181-5',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-16199-0',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-319-16220-1'
|
||||||
|
]
|
||||||
|
elif 2012 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33718-5',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33709-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33712-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33765-9',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33715-4',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33783-3',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33786-4'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33863-2',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33868-7',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-33885-4'
|
||||||
|
]
|
||||||
|
elif 2010 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-15549-9',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-15552-9',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-15558-1',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-15561-1',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-15555-0',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-15567-3'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-35749-7',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-642-35740-4'
|
||||||
|
]
|
||||||
|
elif 2008 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-540-88682-2',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-540-88688-4',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-540-88690-7',
|
||||||
|
'https://link.springer.com/book/10.1007/978-3-540-88693-8'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = []
|
||||||
|
elif 2006 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/11744023',
|
||||||
|
'https://link.springer.com/book/10.1007/11744047',
|
||||||
|
'https://link.springer.com/book/10.1007/11744078',
|
||||||
|
'https://link.springer.com/book/10.1007/11744085'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/11754336'
|
||||||
|
]
|
||||||
|
elif 2004 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/b97865',
|
||||||
|
'https://link.springer.com/book/10.1007/b97866',
|
||||||
|
'https://link.springer.com/book/10.1007/b97871',
|
||||||
|
'https://link.springer.com/book/10.1007/b97873'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 2002 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-47969-4',
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-47967-8',
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-47977-5',
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-47979-1'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 2000 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-45054-8',
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-45053-X'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 1998 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/BFb0055655',
|
||||||
|
'https://link.springer.com/book/10.1007/BFb0054729'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 1996 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/BFb0015518',
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-61123-1'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 1994 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-57956-7',
|
||||||
|
'https://link.springer.com/book/10.1007/BFb0028329'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 1992 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/3-540-55426-2'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
elif 1990 == year:
|
||||||
|
if not is_workshops:
|
||||||
|
urls_list = [
|
||||||
|
'https://link.springer.com/book/10.1007/BFb0014843'
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
urls_list = [
|
||||||
|
|
||||||
|
]
|
||||||
|
else:
|
||||||
|
raise ValueError(f'ECCV {year} is current not available!')
|
||||||
|
for url in urls_list:
|
||||||
|
__download_from_springer(
|
||||||
|
url, save_dir, year, is_workshops=is_workshops,
|
||||||
|
time_sleep_in_seconds=time_sleep_in_seconds,
|
||||||
|
downloader=downloader)
|
||||||
|
|
||||||
|
|
||||||
|
def __download_from_springer(
|
||||||
|
url, save_dir, year, is_workshops=False, time_sleep_in_seconds=5,
|
||||||
|
downloader='IDM'):
|
||||||
|
downloader = Downloader(downloader)
|
||||||
|
for i in range(3):
|
||||||
|
try:
|
||||||
|
papers_dict = get_paper_name_link_from_url(url)
|
||||||
|
break
|
||||||
|
except Exception as e:
|
||||||
|
print(str(e))
|
||||||
|
# total_paper_number = len(papers_dict)
|
||||||
|
pbar = tqdm(papers_dict.keys())
|
||||||
|
postfix = f'ECCV_{year}'
|
||||||
|
if is_workshops:
|
||||||
|
postfix = f'ECCV_WS_{year}'
|
||||||
|
|
||||||
|
for name in pbar:
|
||||||
|
pbar.set_description(f'Downloading paper {name}')
|
||||||
|
if not os.path.exists(os.path.join(save_dir, f'{name}_{postfix}.pdf')):
|
||||||
|
downloader.download(
|
||||||
|
papers_dict[name],
|
||||||
|
os.path.join(save_dir, f'{name}_{postfix}.pdf'),
|
||||||
|
time_sleep_in_seconds)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
year = 2022
|
||||||
|
# total_paper_number = 1645
|
||||||
|
total_paper_number = save_csv(year)
|
||||||
|
download_from_csv(year,
|
||||||
|
save_dir=fr'D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_{year}',
|
||||||
|
is_download_supplement=False,
|
||||||
|
time_step_in_seconds=5,
|
||||||
|
total_paper_number=total_paper_number,
|
||||||
|
is_workshops=False)
|
||||||
|
# move_main_and_supplement_2_one_directory(
|
||||||
|
# main_path=fr'D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_{year}\main_paper',
|
||||||
|
# supplement_path=fr'D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_{year}\supplement',
|
||||||
|
# supp_pdf_save_path=fr'D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_{year}\main_paper'
|
||||||
|
# )
|
||||||
|
# for year in range(2018, 2017, -2):
|
||||||
|
# # download_from_springer(
|
||||||
|
# # save_dir=f'F:\\ECCV_{year}',
|
||||||
|
# # year=year,
|
||||||
|
# # is_workshops=False, time_sleep_in_seconds=30)
|
||||||
|
# download_from_springer(
|
||||||
|
# save_dir=f'F:\\ECCV_WS_{year}',
|
||||||
|
# year=year,
|
||||||
|
# is_workshops=True, time_sleep_in_seconds=30)
|
||||||
|
# pass
|
||||||
|
|
@ -0,0 +1,9 @@
|
||||||
|
import gradio as gr
|
||||||
|
from gradio_pdf import PDF
|
||||||
|
|
||||||
|
with gr.Blocks() as demo:
|
||||||
|
pdf = PDF(label="Upload a PDF", interactive=True, height=800)
|
||||||
|
name = gr.Textbox()
|
||||||
|
pdf.upload(lambda f: f, pdf, name)
|
||||||
|
|
||||||
|
demo.launch()
|
||||||
|
|
@ -0,0 +1,64 @@
|
||||||
|
import os
|
||||||
|
|
||||||
|
import gradio as gr
|
||||||
|
from gradio_pdf import PDF
|
||||||
|
|
||||||
|
current_pdf_file = None
|
||||||
|
|
||||||
|
with gr.Blocks() as demo:
|
||||||
|
with gr.Row():
|
||||||
|
with gr.Column(scale=1):
|
||||||
|
with gr.Row():
|
||||||
|
# gr.Label("会议名称")
|
||||||
|
conf_name = gr.Dropdown(choices=["ECCV2022", "ECCV2020", "CVPR2024"], value="ECCV2022", label="会议名称", show_label=True)
|
||||||
|
conf_button = gr.Button("查看会议论文", variant='primary')
|
||||||
|
dataframe = gr.Dataframe(headers=["论文名称"], col_count=(1, "fixed"), type='array', height=800)
|
||||||
|
with gr.Row():
|
||||||
|
look_input = gr.Textbox(placeholder="关键词检索", label="关键词过滤")
|
||||||
|
filter_button = gr.Button("过滤")
|
||||||
|
# up_button = gr.Button("加载")
|
||||||
|
|
||||||
|
with gr.Column(scale=2):
|
||||||
|
pdf = PDF(label="Upload a PDF", interactive=True, height=1000)
|
||||||
|
|
||||||
|
|
||||||
|
# name = gr.Textbox(show_label=False)
|
||||||
|
# pdf.upload(lambda f: f, pdf, name)
|
||||||
|
|
||||||
|
def up_load():
|
||||||
|
global current_pdf_file
|
||||||
|
n = r"D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_2022\main_paper\3d-siamese-transformer-network-for-single-object-tracking-on-point-clouds_ECCV_2022.pdf"
|
||||||
|
current_pdf_file = n
|
||||||
|
return n
|
||||||
|
|
||||||
|
|
||||||
|
def load_conf_list(conf_name):
|
||||||
|
if conf_name == "ECCV2022":
|
||||||
|
root_dir = r"D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_2022\main_paper"
|
||||||
|
return [[i] for i in os.listdir(root_dir)]
|
||||||
|
|
||||||
|
|
||||||
|
def look_dataframe(evt: gr.SelectData):
|
||||||
|
global current_pdf_file
|
||||||
|
if evt.value:
|
||||||
|
root_dir = r"D:\py\keyan_qingbao\te_u\paper_down_load\ECCV_2022\main_paper"
|
||||||
|
n = os.path.join(root_dir, evt.value)
|
||||||
|
if os.path.exists(n):
|
||||||
|
current_pdf_file = n
|
||||||
|
return PDF(value=current_pdf_file, label="Upload a PDF", interactive=True, height=1000)
|
||||||
|
|
||||||
|
|
||||||
|
def filter_by_word(words, paper_list):
|
||||||
|
word_list = words.strip().split()
|
||||||
|
paper_list_filter = [p[0] for p in paper_list]
|
||||||
|
for word in word_list:
|
||||||
|
paper_list_filter = [p for p in paper_list_filter if word in p]
|
||||||
|
return [[p] for p in paper_list_filter]
|
||||||
|
|
||||||
|
|
||||||
|
filter_button.click(filter_by_word, inputs=[look_input, dataframe], outputs=[dataframe])
|
||||||
|
dataframe.select(look_dataframe, inputs=None, outputs=[pdf])
|
||||||
|
conf_button.click(load_conf_list, inputs=[conf_name], outputs=[dataframe])
|
||||||
|
# up_button.click(up_load, inputs=None, outputs=[pdf])
|
||||||
|
|
||||||
|
demo.launch()
|
||||||
Binary file not shown.
|
|
@ -0,0 +1,32 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"name": "S,o,l,v,i,n,g, ,P,o,w,e,r, ,G,r,i,d, ,O,p,t,i,m,i,z,a,t,i,o,n, ,P,r,o,b,l,e,m,s, ,w,i,t,h, ,R,y,d,b,e,r,g, ,A,t,o,m,s",
|
||||||
|
"authors": "Nora Bauer,K\u00fcbra Yeter-Aydeniz,Elias Kokkas,George Siopsis",
|
||||||
|
"affiliations": "no",
|
||||||
|
"abstract": "The rapid development of neutral atom quantum hardware provides a unique opportunity to design hardware-centered algorithms for solving real-world problems aimed at establishing quantum utility. In this work, we study the performance of two such algorithms on solving MaxCut problem for various weighted graphs. The first method uses a state-of-the-art machine learning tool to optimize the pulse shape and embedding of the graph using an adiabatic Ansatz to find the ground state. We tested the performance of this method on finding maximum power section task of the IEEE 9-bus power system and obtaining MaxCut of randomly generated problems of size up to 12 on the Aquila quantum processor. To the best of our knowledge, this work presents the first MaxCut results on Quera's Aquila quantum hardware. Our experiments run on Aquila demonstrate that even though the probability of obtaining the solution is reduced, one can still solve the MaxCut problem on cloud-accessed neutral atom quantum hardware. The second method uses local detuning, which is an emergent update on the Aquila hardware, to obtain a near exact realization of the standard QAOA Ansatz with similar performance. Finally, we study the fidelity throughout the time evolution realized in the adiabatic method as a benchmark for the IEEE 9-bus power grid graph state."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "T,o,w,a,r,d,s, ,H,u,m,a,n, ,A,w,a,r,e,n,e,s,s, ,i,n, ,R,o,b,o,t, ,T,a,s,k, ,P,l,a,n,n,i,n,g, ,w,i,t,h, ,L,a,r,g,e, ,L,a,n,g,u,a,g,e, ,M,o,d,e,l,s",
|
||||||
|
"authors": "Yuchen Liu,Luigi Palmieri,Sebastian Koch,Ilche Georgievski,Marco Aiello",
|
||||||
|
"affiliations": "no",
|
||||||
|
"abstract": "The recent breakthroughs in the research on Large Language Models (LLMs) have triggered a transformation across several research domains. Notably, the integration of LLMs has greatly enhanced performance in robot Task And Motion Planning (TAMP). However, previous approaches often neglect the consideration of dynamic environments, i.e., the presence of dynamic objects such as humans. In this paper, we propose a novel approach to address this gap by incorporating human awareness into LLM-based robot task planning. To obtain an effective representation of the dynamic environment, our approach integrates humans' information into a hierarchical scene graph. To ensure the plan's executability, we leverage LLMs to ground the environmental topology and actionable knowledge into formal planning language. Most importantly, we use LLMs to predict future human activities and plan tasks for the robot considering the predictions. Our contribution facilitates the development of integrating human awareness into LLM-driven robot task planning, and paves the way for proactive robot decision-making in dynamic environments."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "E,E,G,_,G,L,T,-,N,e,t,:, ,O,p,t,i,m,i,s,i,n,g, ,E,E,G, ,G,r,a,p,h,s, ,f,o,r, ,R,e,a,l,-,t,i,m,e, ,M,o,t,o,r, ,I,m,a,g,e,r,y, ,S,i,g,n,a,l,s, ,C,l,a,s,s,i,f,i,c,a,t,i,o,n",
|
||||||
|
"authors": "Htoo Wai Aung,Jiao Jiao Li,Yang An,Steven W. Su",
|
||||||
|
"affiliations": "no",
|
||||||
|
"abstract": "Brain-Computer Interfaces connect the brain to external control devices, necessitating the accurate translation of brain signals such as from electroencephalography (EEG) into executable commands. Graph Neural Networks (GCN) have been increasingly applied for classifying EEG Motor Imagery signals, primarily because they incorporates the spatial relationships among EEG channels, resulting in improved accuracy over traditional convolutional methods. Recent advances by GCNs-Net in real-time EEG MI signal classification utilised Pearson Coefficient Correlation (PCC) for constructing adjacency matrices, yielding significant results on the PhysioNet dataset. Our paper introduces the EEG Graph Lottery Ticket (EEG_GLT) algorithm, an innovative technique for constructing adjacency matrices for EEG channels. It does not require pre-existing knowledge of inter-channel relationships, and it can be tailored to suit both individual subjects and GCN model architectures. Our findings demonstrated that the PCC method outperformed the Geodesic approach by 9.65% in mean accuracy, while our EEG_GLT matrix consistently exceeded the performance of the PCC method by a mean accuracy of 13.39%. Also, we found that the construction of the adjacency matrix significantly influenced accuracy, to a greater extent than GCN model configurations. A basic GCN configuration utilising our EEG_GLT matrix exceeded the performance of even the most complex GCN setup with a PCC matrix in average accuracy. Our EEG_GLT method also reduced MACs by up to 97% compared to the PCC method, while maintaining or enhancing accuracy. In conclusion, the EEG_GLT algorithm marks a breakthrough in the development of optimal adjacency matrices, effectively boosting both computational accuracy and efficiency, making it well-suited for real-time classification of EEG MI signals that demand intensive computational resources."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "G,r,a,p,h, ,C,o,n,t,i,n,u,a,l, ,L,e,a,r,n,i,n,g, ,w,i,t,h, ,D,e,b,i,a,s,e,d, ,L,o,s,s,l,e,s,s, ,M,e,m,o,r,y, ,R,e,p,l,a,y",
|
||||||
|
"authors": "Chaoxi Niu,Guansong Pang,Ling Chen",
|
||||||
|
"affiliations": "no",
|
||||||
|
"abstract": "Real-life graph data often expands continually, rendering the learning of graph neural networks (GNNs) on static graph data impractical. Graph continual learning (GCL) tackles this problem by continually adapting GNNs to the expanded graph of the current task while maintaining the performance over the graph of previous tasks. Memory replay-based methods, which aim to replay data of previous tasks when learning new tasks, have been explored as one principled approach to mitigate the forgetting of the knowledge learned from the previous tasks. In this paper we extend this methodology with a novel framework, called Debiased Lossless Memory replay (DeLoMe). Unlike existing methods that sample nodes/edges of previous graphs to construct the memory, DeLoMe learns small lossless synthetic node representations as the memory. The learned memory can not only preserve the graph data privacy but also capture the holistic graph information, for which the sampling-based methods are not viable. Further, prior methods suffer from bias toward the current task due to the data imbalance between the classes in the memory data and the current data. A debiased GCL loss function is devised in DeLoMe to effectively alleviate this bias. Extensive experiments on four graph datasets show the effectiveness of DeLoMe under both class- and task-incremental learning settings."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "N,e,u,r,o,m,o,r,p,h,i,c, ,V,i,s,i,o,n,-,b,a,s,e,d, ,M,o,t,i,o,n, ,S,e,g,m,e,n,t,a,t,i,o,n, ,w,i,t,h, ,G,r,a,p,h, ,T,r,a,n,s,f,o,r,m,e,r, ,N,e,u,r,a,l, ,N,e,t,w,o,r,k",
|
||||||
|
"authors": "Yusra Alkendi,Rana Azzam,Sajid Javed,Lakmal Seneviratne,Yahya Zweiri",
|
||||||
|
"affiliations": "no",
|
||||||
|
"abstract": "Moving object segmentation is critical to interpret scene dynamics for robotic navigation systems in challenging environments. Neuromorphic vision sensors are tailored for motion perception due to their asynchronous nature, high temporal resolution, and reduced power consumption. However, their unconventional output requires novel perception paradigms to leverage their spatially sparse and temporally dense nature. In this work, we propose a novel event-based motion segmentation algorithm using a Graph Transformer Neural Network, dubbed GTNN. Our proposed algorithm processes event streams as 3D graphs by a series of nonlinear transformations to unveil local and global spatiotemporal correlations between events. Based on these correlations, events belonging to moving objects are segmented from the background without prior knowledge of the dynamic scene geometry. The algorithm is trained on publicly available datasets including MOD, EV-IMO, and \\textcolor{black}{EV-IMO2} using the proposed training scheme to facilitate efficient training on extensive datasets. Moreover, we introduce the Dynamic Object Mask-aware Event Labeling (DOMEL) approach for generating approximate ground-truth labels for event-based motion segmentation datasets. We use DOMEL to label our own recorded Event dataset for Motion Segmentation (EMS-DOMEL), which we release to the public for further research and benchmarking. Rigorous experiments are conducted on several unseen publicly-available datasets where the results revealed that GTNN outperforms state-of-the-art methods in the presence of dynamic background variations, motion patterns, and multiple dynamic objects with varying sizes and velocities. GTNN achieves significant performance gains with an average increase of 9.4% and 4.5% in terms of motion segmentation accuracy (IoU%) and detection rate (DR%), respectively."
|
||||||
|
}
|
||||||
|
]
|
||||||
|
|
@ -0,0 +1,2 @@
|
||||||
|
import nltk
|
||||||
|
nltk.download('averaged_perceptron_tagger')
|
||||||
|
|
@ -0,0 +1,160 @@
|
||||||
|
import os
|
||||||
|
import re
|
||||||
|
|
||||||
|
from nltk import word_tokenize, pos_tag
|
||||||
|
from nltk.corpus import stopwords
|
||||||
|
from nltk.corpus import wordnet
|
||||||
|
from nltk.stem import WordNetLemmatizer
|
||||||
|
from nltk.tokenize import sent_tokenize
|
||||||
|
|
||||||
|
words = {} # 存放的数据格式为(Key:String,relative_word:Array)
|
||||||
|
root_path = '..\\resources\\ACL2020'
|
||||||
|
invalid_word = stopwords.words('english')
|
||||||
|
|
||||||
|
# with open(r"D:\小工具程序\pdf2md\output_directory\good_i.mmd", "r", encoding="utf8") as f:
|
||||||
|
# lines = []
|
||||||
|
# for i in f.readlines():
|
||||||
|
# if i.strip():
|
||||||
|
# lines.append(i.strip())
|
||||||
|
# else:
|
||||||
|
# lines.append(" ")
|
||||||
|
# print("\n".join(lines))
|
||||||
|
|
||||||
|
# 获取单词的词性
|
||||||
|
def get_wordnet_pos(tag):
|
||||||
|
if tag.startswith('J'):
|
||||||
|
return wordnet.ADJ
|
||||||
|
elif tag.startswith('V'):
|
||||||
|
return wordnet.VERB
|
||||||
|
elif tag.startswith('N'):
|
||||||
|
return wordnet.NOUN
|
||||||
|
elif tag.startswith('R'):
|
||||||
|
return wordnet.ADV
|
||||||
|
else:
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
|
def add_to_dict(word_list, windows=5):
|
||||||
|
valid_word_list = [] # 先进行过滤
|
||||||
|
|
||||||
|
for word in word_list:
|
||||||
|
word = str(word).lower()
|
||||||
|
if is_valid(word):
|
||||||
|
valid_word_list.append(word)
|
||||||
|
|
||||||
|
# 根据窗口进行关系建立
|
||||||
|
if len(valid_word_list) < windows:
|
||||||
|
win = valid_word_list
|
||||||
|
build_words_from_windows(win)
|
||||||
|
else:
|
||||||
|
index = 0
|
||||||
|
while index + windows <= len(valid_word_list):
|
||||||
|
win = valid_word_list[index:index + windows]
|
||||||
|
index += 1
|
||||||
|
build_words_from_windows(win)
|
||||||
|
|
||||||
|
|
||||||
|
# 根据小窗口，将关系建立到words中
|
||||||
|
def build_words_from_windows(win):
|
||||||
|
for word in win:
|
||||||
|
if word not in words.keys():
|
||||||
|
words[word] = []
|
||||||
|
for other in win:
|
||||||
|
if other == word or other in words[word]:
|
||||||
|
continue
|
||||||
|
else:
|
||||||
|
words[word].append(other)
|
||||||
|
|
||||||
|
|
||||||
|
# 预处理,如果是False就丢掉
|
||||||
|
def is_valid(word):
|
||||||
|
if re.match("[()\-:;,.0-9]+", word) or word in invalid_word:
|
||||||
|
return False
|
||||||
|
elif len(word) < 4:
|
||||||
|
return False
|
||||||
|
else:
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
def text_rank(d=0.85, max_iter=100):
|
||||||
|
min_diff = 0.05
|
||||||
|
words_weight = {} # {str,float)
|
||||||
|
for word in words.keys():
|
||||||
|
words_weight[word] = 1 / len(words.keys())
|
||||||
|
for i in range(max_iter):
|
||||||
|
n_words_weight = {} # {str,float)
|
||||||
|
max_diff = 0
|
||||||
|
for word in words.keys():
|
||||||
|
n_words_weight[word] = 1 - d
|
||||||
|
for other in words[word]:
|
||||||
|
if other == word or len(words[other]) == 0:
|
||||||
|
continue
|
||||||
|
n_words_weight[word] += d * words_weight[other] / len(words[other])
|
||||||
|
max_diff = max(n_words_weight[word] - words_weight[word], max_diff)
|
||||||
|
words_weight = n_words_weight
|
||||||
|
print('iter', i, 'max diff is', max_diff)
|
||||||
|
if max_diff < min_diff:
|
||||||
|
print('break with iter', i)
|
||||||
|
break
|
||||||
|
return words_weight
|
||||||
|
|
||||||
|
|
||||||
|
def read(path):
|
||||||
|
str = ''
|
||||||
|
with open(path, "r", encoding='UTF-8') as f: # 设置文件对象
|
||||||
|
# with open(root_path + "\\" + path, "r", encoding='UTF-8') as f: # 设置文件对象
|
||||||
|
lines = f.readlines() # 可以是随便对文件的操作
|
||||||
|
ready = False
|
||||||
|
for line in lines:
|
||||||
|
line = line.replace("#", "")
|
||||||
|
line = line.strip()
|
||||||
|
if line == '':
|
||||||
|
continue
|
||||||
|
elif line[-1] == '-':
|
||||||
|
str += line[:-1]
|
||||||
|
else:
|
||||||
|
str += line
|
||||||
|
|
||||||
|
if line == "References":
|
||||||
|
print('end read', line, " from ", path)
|
||||||
|
break
|
||||||
|
|
||||||
|
# print(str)
|
||||||
|
sens = sent_tokenize(str)
|
||||||
|
for sentence in sens:
|
||||||
|
# print(sentence)
|
||||||
|
tokens = word_tokenize(sentence) # 分词
|
||||||
|
tagged_sent = pos_tag(tokens) # 获取单词词性
|
||||||
|
|
||||||
|
wnl = WordNetLemmatizer()
|
||||||
|
lemmas_sent = []
|
||||||
|
for tag in tagged_sent:
|
||||||
|
wordnet_pos = get_wordnet_pos(tag[1]) or wordnet.NOUN
|
||||||
|
lemmas_sent.append(wnl.lemmatize(tag[0], pos=wordnet_pos)) # 词形还原
|
||||||
|
# print(lemmas_sent)
|
||||||
|
add_to_dict(lemmas_sent, 5)
|
||||||
|
|
||||||
|
|
||||||
|
def start(topN=20):
|
||||||
|
# files_name = os.listdir(root_path)
|
||||||
|
file_path = r"D:\小工具程序\pdf2md\output_directory\good_i.mmd"
|
||||||
|
files_name = [file_path]
|
||||||
|
# num = 0
|
||||||
|
for file_name in files_name:
|
||||||
|
# if file_name.endswith(".txt"):
|
||||||
|
# print(file_name)
|
||||||
|
read(file_name)
|
||||||
|
# num += 1
|
||||||
|
# if num > 2:
|
||||||
|
# break
|
||||||
|
words_weight = text_rank()
|
||||||
|
tmp = sorted(words_weight.items(), key=lambda x: x[1], reverse=True)
|
||||||
|
with open("method3_dict.txt", 'w', encoding="UTF-8") as f:
|
||||||
|
for i in range(topN):
|
||||||
|
f.write(tmp[i][0] + ' ' + str(tmp[i][1]) + '\n')
|
||||||
|
print(tmp[i])
|
||||||
|
# print(words_weight)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
start()
|
||||||
|
|
@ -0,0 +1,18 @@
|
||||||
|
from jieba.analyse import textrank
|
||||||
|
|
||||||
|
with open(r"D:\小工具程序\pdf2md\output_directory\good_i.mmd", "r", encoding="utf8") as f:
|
||||||
|
lines = []
|
||||||
|
for i in f.readlines():
|
||||||
|
if i.strip():
|
||||||
|
lines.append(i.strip())
|
||||||
|
else:
|
||||||
|
lines.append(" ")
|
||||||
|
|
||||||
|
print("".join(lines))
|
||||||
|
|
||||||
|
sentences_list: list = lines
|
||||||
|
all_article = "".join(sentences_list) # 将所有的文本整合为一个大文本
|
||||||
|
keywords = textrank(all_article, topK=10, withWeight=True)
|
||||||
|
print('Text rank 结果展示：')
|
||||||
|
for word, weight in keywords:
|
||||||
|
print(word, ": ", str(weight))
|
||||||
|
|
@ -0,0 +1,157 @@
|
||||||
|
import undetected_chromedriver as uc
|
||||||
|
import time
|
||||||
|
import random
|
||||||
|
import json
|
||||||
|
import matplotlib.pyplot as plt # 数据可视化
|
||||||
|
import jieba # 词语切割
|
||||||
|
import wordcloud # 分词
|
||||||
|
from wordcloud import WordCloud, ImageColorGenerator, STOPWORDS # 词云，颜色生成器，停止词
|
||||||
|
import numpy as np # 科学计算
|
||||||
|
from PIL import Image # 处理图片
|
||||||
|
from bs4 import BeautifulSoup
|
||||||
|
from lxml import etree
|
||||||
|
|
||||||
|
|
||||||
|
# def get_current_page_result(driver):
|
||||||
|
# """ 采集一页里的所有item """
|
||||||
|
# result_area = driver.find_element(by="id", value="ModuleSearchResult")
|
||||||
|
# current_page_results = result_area.find_elements(by="xpath", value='//tbody/tr')
|
||||||
|
#
|
||||||
|
# names = [r.find_element(by="xpath", value='td[@class="name"]') for r in current_page_results]
|
||||||
|
# links = [r.find_element(by="xpath", value='td[@class="name"]/a').get_attribute("href") for r in current_page_results]
|
||||||
|
#
|
||||||
|
# items = get_items(driver, links)
|
||||||
|
# return items
|
||||||
|
|
||||||
|
|
||||||
|
def get_items(driver, links):
|
||||||
|
items = []
|
||||||
|
for i, l in enumerate(links):
|
||||||
|
item = get_item(driver, l)
|
||||||
|
items.append(item)
|
||||||
|
return items
|
||||||
|
|
||||||
|
|
||||||
|
def get_item(driver, link):
|
||||||
|
item = {}
|
||||||
|
driver.get(link) # 获取新的论文链接
|
||||||
|
time.sleep(3 + 3 * random.random()) # 等等加载完成
|
||||||
|
|
||||||
|
# 标题
|
||||||
|
h1 = driver.find_element(by="xpath", value="//h1")
|
||||||
|
item["name"] = h1.text
|
||||||
|
|
||||||
|
# 作者
|
||||||
|
authors_area = driver.find_element(by="id", value="authorpart")
|
||||||
|
authors = [a.text for a in authors_area.find_elements(by="xpath", value="span/a")] # .get_attribute("innerHTML")
|
||||||
|
item["authors"] = authors
|
||||||
|
|
||||||
|
# 单位
|
||||||
|
affiliations_area = driver.find_elements(by="xpath", value='//a[@class="author"]')
|
||||||
|
affiliations = [affiliation.text for affiliation in affiliations_area]
|
||||||
|
item["affiliations"] = affiliations
|
||||||
|
|
||||||
|
# 摘要
|
||||||
|
# 如果有更多，先点更多
|
||||||
|
try:
|
||||||
|
more_bn = driver.find_element(by="id", value="ChDivSummaryMore")
|
||||||
|
more_bn.click()
|
||||||
|
time.sleep(1 + 1 * random.random()) # 等等加载完成
|
||||||
|
except:
|
||||||
|
more_bn = None
|
||||||
|
|
||||||
|
abstract_area = driver.find_element(by="id", value="ChDivSummary")
|
||||||
|
abstract = abstract_area.text
|
||||||
|
item["abstract"] = abstract
|
||||||
|
|
||||||
|
return item
|
||||||
|
|
||||||
|
|
||||||
|
def get_links(driver):
|
||||||
|
result_area = driver.find_element(by="id", value="ModuleSearchResult")
|
||||||
|
current_page_results = result_area.find_elements(by="xpath", value='//tbody/tr')
|
||||||
|
|
||||||
|
# names = [r.find_element(by="xpath", value='td[@class="name"]') for r in current_page_results]
|
||||||
|
links = [r.find_element(by="xpath", value='td[@class="name"]/a').get_attribute("href") for r in current_page_results] # 总报错，不知识原因
|
||||||
|
return links
|
||||||
|
# [name_element.find_element(by="xpath", value="a").get_attribute("href") for name_element in names]
|
||||||
|
# [name_element.find_element(by="xpath", value="a").text for name_element in names]
|
||||||
|
|
||||||
|
|
||||||
|
def get_links_etree(driver):
|
||||||
|
dom = etree.HTML(driver.page_source)
|
||||||
|
links = dom.xpath('//table[@class="result-table-list"]//td[@class="name"]/a/@href')
|
||||||
|
return links
|
||||||
|
|
||||||
|
|
||||||
|
def get_news(total_num, keyword):
|
||||||
|
driver = uc.Chrome()
|
||||||
|
driver.get('https://www.cnki.net/')
|
||||||
|
time.sleep(3 + 2 * random.random()) # 等等加载完成
|
||||||
|
# 搜索
|
||||||
|
input_button = driver.find_element(by="id", value="txt_SearchText")
|
||||||
|
input_button.send_keys(keyword)
|
||||||
|
time.sleep(1 + 1 * random.random()) # 等等加载完成
|
||||||
|
|
||||||
|
search_bn = driver.find_element(by="xpath", value='//input[@class="search-btn"]')
|
||||||
|
search_bn.click()
|
||||||
|
time.sleep(5 + 3 * random.random()) # 等等加载完成
|
||||||
|
|
||||||
|
# 获取相应的链接
|
||||||
|
links = []
|
||||||
|
stop_flag = False
|
||||||
|
|
||||||
|
while not stop_flag:
|
||||||
|
link_current_page = get_links_etree(driver)
|
||||||
|
links.extend(link_current_page)
|
||||||
|
|
||||||
|
if len(links) < total_num:
|
||||||
|
# 下一页
|
||||||
|
try:
|
||||||
|
next_page_btn = driver.find_element(by="xpath", value='//a[contains(text(), "下一页")]')
|
||||||
|
next_page_btn.click()
|
||||||
|
time.sleep(2 + 2 * random.random()) # 等等加载完成
|
||||||
|
# driver.refresh()
|
||||||
|
# time.sleep(2 + 2 * random.random()) # 等等加载完成
|
||||||
|
except Exception as e:
|
||||||
|
print("没有下一页，返回当前的采集的所有结果", e)
|
||||||
|
stop_flag = True
|
||||||
|
total_num = len(links)
|
||||||
|
else:
|
||||||
|
# 超过了需要的连接数就停止
|
||||||
|
stop_flag = True
|
||||||
|
|
||||||
|
links = links[:total_num]
|
||||||
|
|
||||||
|
results = get_items(driver, links)
|
||||||
|
|
||||||
|
with open("result.json", "w", encoding="utf8") as f:
|
||||||
|
f.write(json.dumps(results))
|
||||||
|
|
||||||
|
driver.close()
|
||||||
|
return results
|
||||||
|
|
||||||
|
|
||||||
|
def get_clouds(word_list):
|
||||||
|
text = "，".join(word_list)
|
||||||
|
wordlist = jieba.lcut(text) # 切割词语
|
||||||
|
space_list = ' '.join(wordlist) # 空格链接词语
|
||||||
|
# backgroud = np.array(Image.open('test1.jpg'))
|
||||||
|
|
||||||
|
wc = WordCloud(width=400, height=300,
|
||||||
|
background_color='white',
|
||||||
|
mode='RGB',
|
||||||
|
# mask=backgroud, # 添加蒙版，生成指定形状的词云，并且词云图的颜色可从蒙版里提取
|
||||||
|
max_words=200,
|
||||||
|
stopwords=STOPWORDS.update(('老年人', "的", "中", 'in', 'of', 'for')), # 内置的屏蔽词,并添加自己设置的词语
|
||||||
|
font_path='C:\Windows\Fonts\STZHONGS.ttf',
|
||||||
|
max_font_size=100,
|
||||||
|
relative_scaling=0.6, # 设置字体大小与词频的关联程度为0.4
|
||||||
|
random_state=50,
|
||||||
|
scale=2
|
||||||
|
).generate(space_list)
|
||||||
|
|
||||||
|
# image_color = ImageColorGenerator(backgroud) # 设置生成词云的颜色，如去掉这两行则字体为默认颜色
|
||||||
|
# wc.recolor(color_func=image_color)
|
||||||
|
|
||||||
|
return wc.to_array()
|
||||||
|
|
@ -0,0 +1,168 @@
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1717557553.524072,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": false,
|
||||||
|
"name": "_puid",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "lax",
|
||||||
|
"secure": true,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "user-41eRLUDolErDqfpxjCML946x:1716952754-s%2FM4L0gOaiaBIHQcI7Of90034e%2BaBMYJQypD9vaHy%2BY%3D"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1724728753.008259,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "__Secure-next-auth.session-token",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "lax",
|
||||||
|
"secure": true,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIn0.._O6IVC5P8jV1mAp-.05WwBPgBtboU8kRAEVTAevQVqdpM_B-736aGH-vF6H6eF74nE6PsDkcWCq9-n6h_5Q71-es1K4Axcl4ZQP3zfzDXgyQbo7j1K4cEtM3txWojH6g5YTtZslO2jvl49CEjvmAZGwb5OdidtTK-_h4mqi4DZA2fPWQG-LdC5I47KJuTRZC1_dMcS-Wwe6BjLWFJaIuJ7b1Zyk0i4Dvuy2YhssaVKrYBMJR67IQdEYOnAI7Rn1i8hcDuGZ9U784Ewd0xWkjwVsxsmwZ9b5dT5YFE_6OyP5UqYn61cXP5xHf-FkAjx1F_IPwdRHOZjiCCEFIvTCkW-6ObCc9yja21WxqXBCDVEUyGHpCu7tI1hkooum-28ViOpm5grHCTQ63AQoI4JdPY6muIUs0JFjFSO6KmyU6mAAxn7V-nLOui70cX7nc0rI0bUNDHaWY_gh0cXjjAgxUHE8UCMBZTJFnZLDXDA0rc6bWSHQnd6SFjBSEYey1nVdCMaajOxIWWr51TzQpBuPwJUT1DGy--RRF_mgX1N_lRiu97yPY8sGekSr77RWoftvyDzqZfJa3GazKvTBsTYpi1q0JzNs9KD-ZAmpAmelTxT-Q-_wrPcGxVzNolJRQZm7SSYq5OjieaY-VAKA6CpP_ku738CdpbCFCNJ0u5iooDd9kqdz_V91872-YzJcNQixw_2Iku9dh0anHHX90BoBrPmaAJ21cG6wmA1I5y1TaIGiSlPcaKlKUTy5OJqdw7cUhaEKIBShc5KF1U9YMY7Z7oDahUptoMO2EYDgCCK4nM1InLnOuNDW1gYjinv58EcOP9WBmDLu33aqoZdFgtydmwFihBpg3ynbsOfH_53PiqxA-0nI1vdmeGR89q-sQcn4YhM2z-qwxCTUDMuIYCA6OYgi6YzitEJ9ZNgcuP9Svcux00yfnGki9wT51VmCFboS4K1Nrcx1pQQpjfLlwSiKs9SBxiKOLe1h7VKbvdKgSAzEkLgts6MZPsFmPfPvmLbu8-Iw7zT3WIeicx4kJhbkTCu54xrriqPlUkDpd5-dQKD_cunanNYvCPCsbXGNsCjmIbvvZ1wXeLRIP2KxdnzwftEd0KtmhLETYIkbLojqdnZN5wCPWhpCgd8_yFm2PWISPEbg7vf6yFi98TjJBWliwPG37Tqb0-NSq652J3XC9nZSwfhGkfDL2jYm4vY3pnAoFzifdUNMwNxyRHI05uFvWyEG-K_ry3z4rYEx4woBhj_wSbsqzpY3YMUxJCcSRaj8XqIf9_Xs4HkSr2XNO_0e_ObeQUCzDdS-zQ5G5NTCTVvsRv7GDHIMpH2sokITtObhYzweIjmqtqxxAauY_SxWm2GFoXDocOFTYdCvOuTvYoijc5zTAbT-i1f6ZjeZSOqnJmjNkhsgSESQsNtNc6mUpbT5KE5TatI9pcpS-EPxLVYds2ROGlE2NJr9TawKJTswPBsuOxe5NVP6zUuukDxmwNgngOtL2D3GyUvGnEqi9bKKFLyIrSfC1zYCNpz5hKkIRJn3bvkWMQIzXY8-lkirYXcZKZkFdKR-6lm5AOe7lSh7tpqMb5OW5YwHHKXKr9-LmX1rpx7F-3t-rcbhDAIs4WCPBlKdJEfwkL74qRdQrKG_idgmFfCdmt-L7_UAWlNlIlcuJzjXtz1BZHzizJeqCI8mgtxtmpDNvQaKs-Bxo-WfYMbUK_AxMh2b-S13VWy5p_gfTjnLpeal1ASpjf1Fdu9mvXNtRoSJpgkjvAKVhwhkJLEusGjZ337v-6-sffEzS2yGPztf-KhxHvjObREEyo_eQKV3tRGpLIEOCusT99x-DnXKoUA-QMI3ZDaRa8pQhSL2UhHofGvQ4M2Ci3FPHP_OPuuy_0NqZpcwe4ZaNKWvyKsoJb3uKq4Mppd8Pfv2JRJZo6SfLb8AUxMQgNsbBRtBPBSe68oQ32ent7JWanNngcCFhtAJVCU-9ACkkgHI0ZRS4pcGi1WrHJkIXiXTHC4ZCeyl6w1R-9TXuxVZNCKuBUNUJ2Ny2OHi4JZYafoA85vWdSfPVVvzWN3kgL1yqWGYA7DZJhRqmG65ZKSSk3g-KXjoK2gByEm1r-eUYwbmctcTSdxoAV_-KO5BgxHF31HceX3X9DWjEm8SN8LBQtwzjc__vaQb5RsqjBAtXYsAVkX1PaDZnDMY0sc3yl8KvznAfN7cINkiwVSjFhBreX8lX8GXf27d1nqWcnby9ERj4XC_Om9HcK17sFLdgXYWY0BFB6XvoAlpWD7_lIl_-vb50zxTxMOjIVnfOEPQKjZayB-ZYedPeGVkkvJ5gXMhSXnhnGnvyHF2C17-LymmvjhHP8Mk4DKVH478AF39Yh95uPrD5VQlJ8WtKpqTEBFmyaqrKDr0TSL_Qsuv1gnJ_0-Y_qv00PMhTjfa4j3cVPUypVOsfqx7k-xKw8xChKd3l29d-drx7dwqPd5E_cW6K_EWy_D7t1vVrLXkrVjXnU1naNuAY5JRC86WrHVYS3_Uu6KTVivlqhoERr_cTS8LQSZTbiJ_9221tRIIWcvg3YIeFjOzs4MWd8uLlTBPLhHs2eNVsC-xENfejuHq1jSDBhq30QIhVh_G4lPiPikZAZDCs0xEkomsirA9a6SjDjO1YsE8SJr1KjNBz4i7BWloKMAix_S730YwZRXXk_6U1cdUc2JdG9sJYOH_Ebyw2rxUw5FJdL1THDTDPVv1DBPutN7G3WdrAV115BseLifUvp6NqirdWXdesKvcYvI4umhnm_SjqO3iUrHEgZSKdLPzpf1JvQta0YCcq4uKuKTnZ0ty1qYYwlRvrcqaz39vBcRpcZ5NmZLL5JkdnxKsm2LpzhowRhdAkQp0uuMQFI9a-daoCqMx4mP_h8oKCrSNMGw2Ob75t1DDX_-Vf-oB8mee2dguwyBOeyPue8691MCLLK6iUIC_cQCYWdcwlAcVPdlziul5e1SDjC7Q.-yX4k4OiubAKyq0VYZa5og"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": "chatgpt.com",
|
||||||
|
"expirationDate": 1716953115.64912,
|
||||||
|
"hostOnly": true,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "__cflb",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "no_restriction",
|
||||||
|
"secure": true,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "0H28vzvP5FJafnkHxih2mSdkpUZExZgh8sAggEBQHn5"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": "chatgpt.com",
|
||||||
|
"expirationDate": 1746093367.413939,
|
||||||
|
"hostOnly": true,
|
||||||
|
"httpOnly": false,
|
||||||
|
"name": "oai-hlib",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": null,
|
||||||
|
"secure": false,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "true"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1746667743.898085,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "cf_clearance",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "no_restriction",
|
||||||
|
"secure": true,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "xvS4EyBgcyCGuzaDherbVJN.4PTFypiHdMr2cs1xyvk-1715131743-1.0.1.1-PpaIw0m3Wm7XXC7fE_5sbrGPKyCc156JF3NiRzk3lvb5zy9UWG7FwZUJPa3hEUg1eN9KsAPlf6.L0kw_gMKOfg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": "chatgpt.com",
|
||||||
|
"expirationDate": 1716953679,
|
||||||
|
"hostOnly": true,
|
||||||
|
"httpOnly": false,
|
||||||
|
"name": "_dd_s",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "strict",
|
||||||
|
"secure": false,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "rum=0&expire=1716953652562"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1716954547.878219,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "__cf_bm",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "no_restriction",
|
||||||
|
"secure": true,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "xvsQlddTcKTT1B0Yc_xsV.rNMDDSMUt1I_wLjaT0hr8-1716952748-1.0.1.1-VKOlrHicFOvqrsQ95b_H2v3hcnW2AdjSPlOe9.F0f24OqrihsZ4bP_BNWuioEawn5DGJq_a_LlxMoOdok3dQsg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "_cfuvid",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "no_restriction",
|
||||||
|
"secure": true,
|
||||||
|
"session": true,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "t9el16WmScbou.hCjoh_kzdOfHcElqM2hRATzaPQLLY-1716951316241-0.0.1.1-604800000"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1739533563,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": false,
|
||||||
|
"name": "intercom-device-id-dgkjq2bp",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "lax",
|
||||||
|
"secure": false,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "b8e6b16b-9cbe-490b-96b0-5c335577c4cd"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": "chatgpt.com",
|
||||||
|
"hostOnly": true,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "__Host-next-auth.csrf-token",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "lax",
|
||||||
|
"secure": true,
|
||||||
|
"session": true,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "0064ee7bcc1a92b8ecb3ad93d256c766dcf15e29b40f4244c7174b63842c2191%7C6fea0827d7ed6463d7e893a77072bf348df0c2644b569ed302bf51a7b3502876"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": "chatgpt.com",
|
||||||
|
"hostOnly": true,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "__Secure-next-auth.callback-url",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": "lax",
|
||||||
|
"secure": true,
|
||||||
|
"session": true,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "https%3A%2F%2Fchatgpt.com"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1746093268.737159,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": false,
|
||||||
|
"name": "oai-did",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": null,
|
||||||
|
"secure": false,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "04905aca-630e-4745-8b12-104824975054"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"domain": ".chatgpt.com",
|
||||||
|
"expirationDate": 1748488752.141889,
|
||||||
|
"hostOnly": false,
|
||||||
|
"httpOnly": true,
|
||||||
|
"name": "oai-dm-tgt-c-240329",
|
||||||
|
"path": "/",
|
||||||
|
"sameSite": null,
|
||||||
|
"secure": false,
|
||||||
|
"session": false,
|
||||||
|
"storeId": null,
|
||||||
|
"value": "2024-04-02"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
|
@ -0,0 +1,129 @@
|
||||||
|
import random
|
||||||
|
|
||||||
|
import undetected_chromedriver as uc
|
||||||
|
import time
|
||||||
|
import json
|
||||||
|
|
||||||
|
|
||||||
|
def get_cookies(browser, log_url="https://chatgpt.com/"):
|
||||||
|
"""
|
||||||
|
获取cookies保存至本地
|
||||||
|
"""
|
||||||
|
browser.get(log_url)
|
||||||
|
input("回车以继续")
|
||||||
|
# adkinsjoanna26@gmail.com
|
||||||
|
# c1lO2NKEa2Hsl5
|
||||||
|
|
||||||
|
dictCookies = browser.get_cookies() # 获取list的cookies
|
||||||
|
jsonCookies = json.dumps(dictCookies) # 转换成字符串保存
|
||||||
|
with open('damai_cookies.txt', 'w') as f:
|
||||||
|
f.write(jsonCookies)
|
||||||
|
print('cookies保存成功！')
|
||||||
|
|
||||||
|
|
||||||
|
def load_cookies(browser):
|
||||||
|
"""
|
||||||
|
从本地读取cookies并刷新页面,成为已登录状态
|
||||||
|
"""
|
||||||
|
with open('t.json', 'r', encoding='utf8') as f:
|
||||||
|
listCookies = json.loads(f.read())
|
||||||
|
|
||||||
|
# 往browser里添加cookies
|
||||||
|
for cookie in listCookies:
|
||||||
|
cookie_dict = {
|
||||||
|
'domain': cookie.get('domain'),
|
||||||
|
'name': cookie.get('name'),
|
||||||
|
'value': cookie.get('value'),
|
||||||
|
"expires": '',
|
||||||
|
'path': '/',
|
||||||
|
'httpOnly': False,
|
||||||
|
'HostOnly': False,
|
||||||
|
'Secure': False
|
||||||
|
}
|
||||||
|
try:
|
||||||
|
browser.add_cookie(cookie_dict)
|
||||||
|
except Exception as e:
|
||||||
|
print("wrong_cookie: ", cookie_dict)
|
||||||
|
browser.refresh() # 刷新网页,cookies才成功
|
||||||
|
|
||||||
|
|
||||||
|
def get_presentation_are():
|
||||||
|
# //div[@role="presentation"]//div[contains(@class, "text-sm") ] # text-token-text-primary
|
||||||
|
# //div[@role="presentation"]//div[contains(@class, "text-sm")]/div[contains(@class, "text-token-text-primary")]
|
||||||
|
pass
|
||||||
|
# //div[@role="presentation"]//p # 响应的内容都放在了p里
|
||||||
|
|
||||||
|
|
||||||
|
def get_input_area(driver):
|
||||||
|
input_area = driver.find_element(by="xpath", value="//textarea")
|
||||||
|
return input_area
|
||||||
|
|
||||||
|
|
||||||
|
def get_input_button(driver):
|
||||||
|
input_button = driver.find_element(by="xpath", value="//textarea/../../button")
|
||||||
|
return input_button
|
||||||
|
|
||||||
|
|
||||||
|
def get_last_response(driver):
|
||||||
|
# t = (driver.find_elements(by="xpath", value='//div[@role="presentation"]//p')[-1]).text
|
||||||
|
t = (driver.find_elements(by="xpath",
|
||||||
|
value='//div[@role="presentation"]//div[contains(@class, "text-sm")]/div[contains(@class, "text-token-text-primary")]//div[contains(@class, "markdown")]')[
|
||||||
|
-1]).text
|
||||||
|
return t
|
||||||
|
|
||||||
|
|
||||||
|
def wait_for_complete(driver):
|
||||||
|
time.sleep(3 + 3 * random.random())
|
||||||
|
|
||||||
|
complete_flag = False
|
||||||
|
while not complete_flag:
|
||||||
|
try:
|
||||||
|
last_bar = driver.find_elements(by='xpath', value="//div[contains(@class, 'mt-1 flex gap-3 empty:hidden juice:-ml-3')]")[-1]
|
||||||
|
element_size = last_bar.size
|
||||||
|
element_height = element_size['height']
|
||||||
|
# element_width = element_size['width']
|
||||||
|
if element_height < 10:
|
||||||
|
time.sleep(5)
|
||||||
|
print("sleep")
|
||||||
|
else:
|
||||||
|
complete_flag = True
|
||||||
|
except Exception as e:
|
||||||
|
time.sleep(5 + 5 * random.random()) # 第1次可能出现异常，可能因为第一次没有这个元素
|
||||||
|
print('Exception')
|
||||||
|
|
||||||
|
|
||||||
|
def sent_prompt(prompt, browser=None):
|
||||||
|
input_area = get_input_area(browser)
|
||||||
|
input_area.send_keys(prompt)
|
||||||
|
time.sleep(1 + random.random())
|
||||||
|
input_button = get_input_button(browser)
|
||||||
|
input_button.click()
|
||||||
|
wait_for_complete(driver)
|
||||||
|
response_ = get_last_response(driver)
|
||||||
|
return response_
|
||||||
|
|
||||||
|
|
||||||
|
def new_chat(driver):
|
||||||
|
new_button = driver.find_element(by="xpath", value='//nav/div[1]/span[last()]/button')
|
||||||
|
new_button.click()
|
||||||
|
time.sleep(2 + random.random())
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
driver = uc.Chrome()
|
||||||
|
# get_cookies(driver)
|
||||||
|
driver.get("https://chatgpt.com/")
|
||||||
|
input("回车以登录")
|
||||||
|
load_cookies(driver)
|
||||||
|
input("回车以开始使用")
|
||||||
|
while True:
|
||||||
|
prompt = input("输入prompt:")
|
||||||
|
# prompt = "描写今天的天气很好，800字"
|
||||||
|
response = sent_prompt(prompt, browser=driver)
|
||||||
|
print(response)
|
||||||
|
|
||||||
|
# # prompt = "描写今天的天气很好，800字"
|
||||||
|
# response = sent_prompt(prompt, browser=driver)
|
||||||
|
# print(response)
|
||||||
|
driver.quit()
|
||||||
|
|
||||||
|
|
@ -0,0 +1,137 @@
|
||||||
|
import random
|
||||||
|
|
||||||
|
import undetected_chromedriver as uc
|
||||||
|
import time
|
||||||
|
import json
|
||||||
|
|
||||||
|
|
||||||
|
def get_cookies(browser, log_url="https://chatgpt.com/"):
|
||||||
|
"""
|
||||||
|
获取cookies保存至本地
|
||||||
|
"""
|
||||||
|
browser.get(log_url)
|
||||||
|
input("回车以继续")
|
||||||
|
# adkinsjoanna26@gmail.com
|
||||||
|
# c1lO2NKEa2Hsl5
|
||||||
|
|
||||||
|
dictCookies = browser.get_cookies() # 获取list的cookies
|
||||||
|
jsonCookies = json.dumps(dictCookies) # 转换成字符串保存
|
||||||
|
with open('damai_cookies.txt', 'w') as f:
|
||||||
|
f.write(jsonCookies)
|
||||||
|
print('cookies保存成功！')
|
||||||
|
|
||||||
|
|
||||||
|
def load_cookies(browser):
|
||||||
|
"""
|
||||||
|
从本地读取cookies并刷新页面,成为已登录状态
|
||||||
|
"""
|
||||||
|
with open('t.json', 'r', encoding='utf8') as f:
|
||||||
|
listCookies = json.loads(f.read())
|
||||||
|
|
||||||
|
# 往browser里添加cookies
|
||||||
|
for cookie in listCookies:
|
||||||
|
cookie_dict = {
|
||||||
|
'domain': cookie.get('domain'),
|
||||||
|
'name': cookie.get('name'),
|
||||||
|
'value': cookie.get('value'),
|
||||||
|
"expires": '',
|
||||||
|
'path': '/',
|
||||||
|
'httpOnly': False,
|
||||||
|
'HostOnly': False,
|
||||||
|
'Secure': False
|
||||||
|
}
|
||||||
|
try:
|
||||||
|
browser.add_cookie(cookie_dict)
|
||||||
|
except Exception as e:
|
||||||
|
print("wrong_cookie: ", cookie_dict)
|
||||||
|
browser.refresh() # 刷新网页,cookies才成功
|
||||||
|
|
||||||
|
|
||||||
|
def get_presentation_are():
|
||||||
|
# //div[@role="presentation"]//div[contains(@class, "text-sm") ] # text-token-text-primary
|
||||||
|
# //div[@role="presentation"]//div[contains(@class, "text-sm")]/div[contains(@class, "text-token-text-primary")]
|
||||||
|
pass
|
||||||
|
# //div[@role="presentation"]//p # 响应的内容都放在了p里
|
||||||
|
|
||||||
|
|
||||||
|
def get_input_area(driver):
|
||||||
|
input_area = driver.find_element(by="xpath", value="//textarea")
|
||||||
|
return input_area
|
||||||
|
|
||||||
|
|
||||||
|
def get_input_button(driver):
|
||||||
|
input_button = driver.find_element(by="xpath", value="//textarea/../../button")
|
||||||
|
return input_button
|
||||||
|
|
||||||
|
|
||||||
|
def get_last_response(driver):
|
||||||
|
# t = (driver.find_elements(by="xpath", value='//div[@role="presentation"]//p')[-1]).text
|
||||||
|
t = (driver.find_elements(by="xpath",
|
||||||
|
value='//div[@role="presentation"]//div[contains(@class, "text-sm")]/div[contains(@class, "text-token-text-primary")]//div[contains(@class, "markdown")]')[
|
||||||
|
-1]).text
|
||||||
|
return t
|
||||||
|
|
||||||
|
|
||||||
|
def wait_for_complete(driver):
|
||||||
|
time.sleep(3 + 3 * random.random())
|
||||||
|
|
||||||
|
complete_flag = False
|
||||||
|
while not complete_flag:
|
||||||
|
try:
|
||||||
|
last_bar = driver.find_elements(by='xpath', value="//div[contains(@class, 'mt-1 flex gap-3 empty:hidden juice:-ml-3')]")[-1]
|
||||||
|
element_size = last_bar.size
|
||||||
|
element_height = element_size['height']
|
||||||
|
# element_width = element_size['width']
|
||||||
|
if element_height < 10:
|
||||||
|
time.sleep(5)
|
||||||
|
print("sleep")
|
||||||
|
else:
|
||||||
|
complete_flag = True
|
||||||
|
except Exception as e:
|
||||||
|
time.sleep(5 + 5 * random.random()) # 第1次可能出现异常，可能因为第一次没有这个元素
|
||||||
|
print('Exception')
|
||||||
|
|
||||||
|
|
||||||
|
def up_load_file(driver, file_name):
|
||||||
|
file_input = driver.find_element(by="xpath", value='//input[@type="file"]')
|
||||||
|
# 设置文件路径
|
||||||
|
file_path = file_name
|
||||||
|
file_input.send_keys(file_path)
|
||||||
|
time.sleep(1 + random.random())
|
||||||
|
|
||||||
|
def sent_prompt(prompt, browser=None):
|
||||||
|
input_area = get_input_area(browser)
|
||||||
|
input_area.send_keys(prompt)
|
||||||
|
time.sleep(1 + random.random())
|
||||||
|
input_button = get_input_button(browser)
|
||||||
|
input_button.click()
|
||||||
|
wait_for_complete(driver)
|
||||||
|
response_ = get_last_response(driver)
|
||||||
|
return response_
|
||||||
|
|
||||||
|
|
||||||
|
def new_chat(driver):
|
||||||
|
new_button = driver.find_element(by="xpath", value='//nav/div[1]/span[last()]/button')
|
||||||
|
new_button.click()
|
||||||
|
time.sleep(2 + random.random())
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
driver = uc.Chrome()
|
||||||
|
# get_cookies(driver)
|
||||||
|
driver.get("https://chatgpt.com/")
|
||||||
|
input("回车以登录")
|
||||||
|
load_cookies(driver)
|
||||||
|
input("回车以开始使用")
|
||||||
|
file_name = r"C:\Users\zhu\Desktop\桌面整理\Zhou 等 - 2024 - TRAD Enhancing LLM Agents with Step-Wise Thought .pdf"
|
||||||
|
up_load_file(driver, file_name)
|
||||||
|
while True:
|
||||||
|
prompt = input("输入prompt:")
|
||||||
|
# prompt = "描写今天的天气很好，800字"
|
||||||
|
response = sent_prompt(prompt, browser=driver)
|
||||||
|
print(response)
|
||||||
|
|
||||||
|
# # prompt = "描写今天的天气很好，800字"
|
||||||
|
# response = sent_prompt(prompt, browser=driver)
|
||||||
|
# print(response)
|
||||||
|
driver.quit()
|
||||||
|
|
@ -0,0 +1,282 @@
|
||||||
|
# coding='utf-8'
|
||||||
|
from selenium import webdriver
|
||||||
|
from selenium.webdriver.support.ui import WebDriverWait
|
||||||
|
from selenium.webdriver.common.by import By
|
||||||
|
from selenium.webdriver.support.select import Select
|
||||||
|
from selenium.webdriver.common.alert import Alert
|
||||||
|
from selenium.webdriver.common.action_chains import ActionChains
|
||||||
|
import time as t
|
||||||
|
import re
|
||||||
|
from bs4 import BeautifulSoup
|
||||||
|
import xlrd
|
||||||
|
import xlwt
|
||||||
|
import os
|
||||||
|
|
||||||
|
import undetected_chromedriver as uc
|
||||||
|
|
||||||
|
# 先进入浏览器知网
|
||||||
|
driver = uc.Chrome()
|
||||||
|
# driver.minimize_window() # 浏览器窗口最小化，只显示dos窗口
|
||||||
|
driver.get('https://www.cnki.net/')
|
||||||
|
|
||||||
|
keywords = ["对抗攻击"]
|
||||||
|
|
||||||
|
# 选到“关键词所在的”li
|
||||||
|
# //a[text()='关键词']/..
|
||||||
|
# a = driver.find_element(by="xpath", value="//a[text()='关键词']/..")
|
||||||
|
# driver.execute_script("arguments[0].className = 'cur';", a)
|
||||||
|
|
||||||
|
# 找到input
|
||||||
|
input_button = driver.find_element(by="id", value="txt_SearchText")
|
||||||
|
input_button.send_keys("对抗攻击")
|
||||||
|
search_bn = driver.find_element(by="xpath", value='//input[@class="search-btn"]')
|
||||||
|
search_bn.click()
|
||||||
|
|
||||||
|
result_area = driver.find_element(by="id", value="ModuleSearchResult")
|
||||||
|
current_page_resluts = result_area.find_elements(by="xpath", value='//*[@id="ModuleSearchResult"]//tbody/tr')
|
||||||
|
|
||||||
|
names = [r.find_element(by="xpath", value='//td[@class="name"]') for r in current_page_resluts]
|
||||||
|
links = [r.find_element(by="xpath", value='//td[@class="name"]/a').get_attribute("href") for r in current_page_resluts]
|
||||||
|
driver.get(links[0]) # 获取新的论文链接‘
|
||||||
|
|
||||||
|
# 下一页 //a[contains(text(), "下一页")]
|
||||||
|
next_page_btn = driver.find_element(by="xpath", value='//a[contains(text(), "下一页")]')
|
||||||
|
next_page_btn.click()
|
||||||
|
|
||||||
|
|
||||||
|
def cut(list, n):
|
||||||
|
"""将列表按特定数量切分成小列表"""
|
||||||
|
for i in range(0, len(list), n):
|
||||||
|
yield list[i:i + n]
|
||||||
|
|
||||||
|
|
||||||
|
def clear(old_list, new_list):
|
||||||
|
"""用于清洗出纯文本"""
|
||||||
|
for i in old_list:
|
||||||
|
n = (i.text).strip()
|
||||||
|
n = n.replace('\n', ' ')
|
||||||
|
new_list.append(n)
|
||||||
|
return new_list
|
||||||
|
|
||||||
|
|
||||||
|
def clear_jou(old_list, new_list):
|
||||||
|
"""用于清洗出期刊的纯文本"""
|
||||||
|
for i in old_list:
|
||||||
|
n = (i.text).strip()
|
||||||
|
n = n.replace('\n', ' ')
|
||||||
|
new_list.append(n)
|
||||||
|
return new_list
|
||||||
|
|
||||||
|
|
||||||
|
def clear_ab(old_list, new_list):
|
||||||
|
"""用于清洗出摘要的纯文本"""
|
||||||
|
for i in old_list:
|
||||||
|
n = (i.text).strip()
|
||||||
|
n = n.replace('\n', '')
|
||||||
|
n = n.replace('摘要：', '')
|
||||||
|
n = n.replace(' ', '')
|
||||||
|
new_list.append(n)
|
||||||
|
return new_list
|
||||||
|
|
||||||
|
|
||||||
|
def clear_c(old_list, new_list):
|
||||||
|
"""用于清洗出被引数的纯文本"""
|
||||||
|
for i in old_list:
|
||||||
|
n = str(i)
|
||||||
|
n = n.replace('\n', '')
|
||||||
|
new_list.append(i)
|
||||||
|
return new_list
|
||||||
|
|
||||||
|
|
||||||
|
def clear_d(old_list, new_list):
|
||||||
|
"""用于清洗出下载量的纯文本"""
|
||||||
|
for i in old_list:
|
||||||
|
n = (i.text).strip()
|
||||||
|
n = n.replace('\n', ' ')
|
||||||
|
n = int(n)
|
||||||
|
new_list.append(n)
|
||||||
|
return new_list
|
||||||
|
|
||||||
|
|
||||||
|
def extract(inpath):
|
||||||
|
"""取出基金号"""
|
||||||
|
data = xlrd.open_workbook(inpath, encoding_override='utf-8')
|
||||||
|
table = data.sheets()[0] # 选定表
|
||||||
|
nrows = table.nrows # 获取行号
|
||||||
|
ncols = table.ncols # 获取列号
|
||||||
|
numbers = []
|
||||||
|
for i in range(1, nrows): # 第0行为表头
|
||||||
|
alldata = table.row_values(i) # 循环输出excel表中每一行，即所有数据
|
||||||
|
result = alldata[4] # 取出表中第一列数据
|
||||||
|
numbers.append(result)
|
||||||
|
return numbers
|
||||||
|
|
||||||
|
|
||||||
|
def save_afile(alls, keywords, file):
|
||||||
|
os.chdir(r'F:\图情社科基金项目数据爬取\论文信息') # 进入要保存的文件夹
|
||||||
|
"""将一个基金的论文数据保存在一个excel"""
|
||||||
|
f = xlwt.Workbook()
|
||||||
|
sheet1 = f.add_sheet(u'sheet1', cell_overwrite_ok=True)
|
||||||
|
sheet1.write(0, 0, '题目')
|
||||||
|
sheet1.write(0, 1, '发表期刊')
|
||||||
|
sheet1.write(0, 2, '出版时间')
|
||||||
|
sheet1.write(0, 3, '摘要')
|
||||||
|
i = 1
|
||||||
|
for all in alls: # 遍历每一页
|
||||||
|
for data in all: # 遍历每一行
|
||||||
|
for j in range(len(data)): # 取每一单元格
|
||||||
|
sheet1.write(i, j, data[j]) # 写入单元格
|
||||||
|
i = i + 1 # 往下一行
|
||||||
|
f.save(file + '.xls')
|
||||||
|
# 保存关键词为txt
|
||||||
|
file = open(file + '.txt', 'w')
|
||||||
|
for key in keywords:
|
||||||
|
file.write(str(key))
|
||||||
|
file.write('\n')
|
||||||
|
file.close()
|
||||||
|
|
||||||
|
|
||||||
|
def get_html(number, count_number):
|
||||||
|
"""火狐模拟并获得当前源码
|
||||||
|
第一个是网址self.url,第二个是基金号，需要导入基金号列表
|
||||||
|
"""
|
||||||
|
"""火狐模拟并获得当前源码
|
||||||
|
第一个是基金号,第二个是计数器
|
||||||
|
"""
|
||||||
|
s_2 = '/html/body/div[4]/div/div[2]/div[1]/input[1]'
|
||||||
|
s_1 = '//*[@id="txt_SearchText"]'
|
||||||
|
if count_number == 0:
|
||||||
|
element = driver.find_element_by_xpath('/html/body/div[2]/div[2]/div/div[1]/div/div[1]/span') # 鼠标悬浮
|
||||||
|
ActionChains(driver).move_to_element(element).perform()
|
||||||
|
t.sleep(2)
|
||||||
|
driver.find_element_by_link_text(u'基金').click() # 选中为基金检索模式
|
||||||
|
driver.find_element_by_xpath(s_1).send_keys(str(number)) # 键入基金号
|
||||||
|
driver.find_element_by_xpath('/html/body/div[2]/div[2]/div/div[1]/input[2]').click() # 进行搜索
|
||||||
|
else:
|
||||||
|
driver.find_element_by_xpath(s_2).clear() # 清除内容
|
||||||
|
driver.find_element_by_xpath(s_2).send_keys(str(number)) # 键入基金号
|
||||||
|
driver.find_element_by_xpath('/html/body/div[2]/div/div[2]/div[1]/input[2]').click() # 进行搜索
|
||||||
|
t.sleep(2)
|
||||||
|
try:
|
||||||
|
driver.find_element_by_css_selector('#DivDisplayMode > li:nth-child(1)').click() # 选中为详情,如果有问题，需要设置为断点
|
||||||
|
t.sleep(5)
|
||||||
|
html_now = driver.page_source # 页面源码
|
||||||
|
print('ok!')
|
||||||
|
except:
|
||||||
|
html_now = '下一个'
|
||||||
|
finally:
|
||||||
|
return html_now
|
||||||
|
|
||||||
|
|
||||||
|
def pull(html):
|
||||||
|
"""提取一页的论文条目、关键词和当前页面数"""
|
||||||
|
soup = BeautifulSoup(html, 'html.parser') # 解析器：html.parser
|
||||||
|
try:
|
||||||
|
page = soup.select('.countPageMark') # 页面计数
|
||||||
|
count = page[0].text
|
||||||
|
except:
|
||||||
|
count = 1
|
||||||
|
|
||||||
|
title = soup.select('.middle>h6>a')
|
||||||
|
titles = [] # 纯标题
|
||||||
|
clear(title, titles)
|
||||||
|
|
||||||
|
journal = soup.select('.middle p.baseinfo span a ') # 期刊名
|
||||||
|
date = soup.select('.middle p.baseinfo span.date') # 发表时间
|
||||||
|
|
||||||
|
journals_o = [] # 取出字符
|
||||||
|
journals = [] # 最终结果
|
||||||
|
clear_jou(journal, journals_o)
|
||||||
|
for i in journals_o:
|
||||||
|
if i.isdigit(): # 如果该项为数字
|
||||||
|
pass
|
||||||
|
else:
|
||||||
|
journals.append(i)
|
||||||
|
|
||||||
|
dates = []
|
||||||
|
clear(date, dates)
|
||||||
|
|
||||||
|
abstract = soup.select('.abstract') # 摘要
|
||||||
|
abstracts = []
|
||||||
|
clear_ab(abstract, abstracts)
|
||||||
|
keyword = soup.select('.keywords>a') # 关键词
|
||||||
|
keywords = []
|
||||||
|
clear(keyword, keywords)
|
||||||
|
page = [] # 除了关键词的所有信息
|
||||||
|
for i in range(len(titles)):
|
||||||
|
page.append(titles[i:i + 1] + journals[i:i + 1] + dates[i:i + 1] + abstracts[i:i + 1])
|
||||||
|
return page, keywords, count
|
||||||
|
|
||||||
|
|
||||||
|
def one_n_save(fund, count_number):
|
||||||
|
"""保存一个基金号的相关数据"""
|
||||||
|
alls = [] # 一个基金的所有页面
|
||||||
|
keywords = [] # 一个基金的所有关键词
|
||||||
|
all, key_words, count = pull(get_html(str(fund), count_number)) # 第一页的数据
|
||||||
|
count = str(count)
|
||||||
|
count = count.replace('1/', '')
|
||||||
|
alls.append(all) # 存储第一页的数据
|
||||||
|
keywords.append(key_words) # 存储第一页的关键词
|
||||||
|
t.sleep(5)
|
||||||
|
# 一个基金的大部分数据，关键词，页数
|
||||||
|
while True:
|
||||||
|
if 1 < int(count) < 3: # 只有两页
|
||||||
|
t.sleep(5)
|
||||||
|
try:
|
||||||
|
driver.find_element_by_xpath('//*[@id="Page_next_top"]').click() # 点击翻到第二页
|
||||||
|
except:
|
||||||
|
driver.find_element_by_xpath('/html/body/div[5]/div[2]/div[2]/div[2]/form/div/div[1]/div[1]/span[3]').click() # 点击翻到第二页
|
||||||
|
t.sleep(5)
|
||||||
|
html_a = driver.page_source # 当前页面源码
|
||||||
|
all, key_words, count_1 = pull(html_a)
|
||||||
|
alls.append(all) # 存储当页的数据
|
||||||
|
keywords.append(key_words)
|
||||||
|
break
|
||||||
|
elif int(count) >= 3: # 大于两页
|
||||||
|
t.sleep(5)
|
||||||
|
try:
|
||||||
|
driver.find_element_by_xpath('//*[@id="Page_next_top"]').click() # 点击翻到第二页
|
||||||
|
except:
|
||||||
|
driver.find_element_by_xpath('/html/body/div[5]/div[2]/div[2]/div[2]/form/div/div[1]/div[1]/span[3]').click() # 点击翻到第二页
|
||||||
|
t.sleep(5)
|
||||||
|
html_a = driver.page_source # 当前页面源码
|
||||||
|
all, key_words, count_2 = pull(html_a)
|
||||||
|
alls.append(all) # 存储当页的数据
|
||||||
|
keywords.append(key_words)
|
||||||
|
for i in range(int(count) - 2): # 翻几次页
|
||||||
|
t.sleep(5)
|
||||||
|
try:
|
||||||
|
driver.find_element_by_xpath('//*[@id="Page_next_top"]').click() # 点击翻到第二页
|
||||||
|
except:
|
||||||
|
driver.find_element_by_xpath('/html/body/div[5]/div[2]/div[2]/div[2]/form/div/div[1]/div[1]/span[4]').click() # 点击翻页
|
||||||
|
t.sleep(5)
|
||||||
|
html_a = driver.page_source # 当前页面源码
|
||||||
|
all, key_words, count_go = pull(html_a)
|
||||||
|
alls.append(all) # 存储当页的数据
|
||||||
|
keywords.append(key_words)
|
||||||
|
break
|
||||||
|
else:
|
||||||
|
break
|
||||||
|
save_afile(alls, keywords, str(fund))
|
||||||
|
print("成功！")
|
||||||
|
|
||||||
|
|
||||||
|
# inpath = '列表.xlsx'#excel文件所在路径
|
||||||
|
# ns=extract(inpath)#基金号列表
|
||||||
|
count_number = 0
|
||||||
|
# 只能存储有论文的
|
||||||
|
#
|
||||||
|
i = '14BTQ073' # 单个基金号的论文元数据爬取，多个遍历即可
|
||||||
|
# for i in ns:
|
||||||
|
one_n_save(i, count_number) # 保存这一基金号的
|
||||||
|
print(str(i) + '基金号的所有论文基本信息保存完毕！') # 显示成功信息
|
||||||
|
# count_number=count_number+1
|
||||||
|
driver.quit() # 关闭浏览器
|
||||||
|
print('Over！') # 全部完成
|
||||||
|
|
||||||
|
# 本程序仅能自动获取有论文的情况
|
||||||
|
# 出现了被引数错误的情况——clear_c有问题
|
||||||
|
# 出现了下载数出现在被引数的情况——获取被引数和下载量有问题
|
||||||
|
# 出现了事实上下载量和被引数都没有但写入到excel的情况，定位同上
|
||||||
|
# 决定放弃被引数和下载量的爬取
|
||||||
|
# 将被引数和下载量放在另一个程序中
|
||||||
Loading…
Reference in New Issue