{"id":37434,"date":"2022-09-20T18:47:17","date_gmt":"2022-09-20T10:47:17","guid":{"rendered":"https:\/\/swarma.org\/?p=37434"},"modified":"2022-09-20T18:47:17","modified_gmt":"2022-09-20T10:47:17","slug":"adl130%e3%80%8a%e5%9b%a0%e6%9e%9c%e5%ad%a6%e4%b9%a0%e4%b8%8e%e5%86%b3%e7%ad%96%e3%80%8b%e5%bc%80%e5%a7%8b%e6%8a%a5%e5%90%8d","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=37434","title":{"rendered":"ADL130\u300a\u56e0\u679c\u5b66\u4e60\u4e0e\u51b3\u7b56\u300b\u5f00\u59cb\u62a5\u540d"},"content":{"rendered":"
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CCF\u5b66\u79d1\u524d\u6cbf\u8bb2\u4e60\u73ed<\/strong><\/span><\/p>\n

The CCF Advanced Disciplines Lectures<\/strong><\/span><\/p>\n

CCF ADL\u7b2c130\u671f<\/strong><\/span><\/p>\n

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\u672c\u671fADL\u8bb2\u4e60\u73ed\u9080\u8bf7\u4e868\u4f4d\u6765\u81ea\u8457\u540d\u9ad8\u6821\u4e0e\u4f01\u4e1a\u79d1\u7814\u673a\u6784\u6d3b\u8dc3\u5728\u524d\u6cbf\u9886\u57df\u7684\u4e13\u5bb6\u5b66\u8005\u505a\u4e3b\u9898\u62a5\u544a\u3002\u7b2c\u4e00\u5929\uff0c\u803f\u76f4\u6559\u6388\u5c06\u4ece\u5386\u53f2\u53d1\u5c55\u8109\u7edc\u7684\u89c6\u89d2\u5bf9\u56e0\u679c\u63a8\u65ad\u8fdb\u884c\u5168\u8c8c\u7684\u4ecb\u7ecd\uff0c\u82d7\u65fa\u52a9\u7406\u6559\u6388\u548c\u8521\u745e\u521d\u6559\u6388\u5c06\u5206\u522b\u4ecePotential Outcome Framework\u548cStructural Causal Model\u7684\u89d2<\/span>\u5ea6\u4ecb\u7ecd\u56e0\u679c\u63a8\u65ad\u7684\u57fa\u7840\u548c\u524d\u6cbf\u3002\u7b2c\u4e8c\u5929\uff0c\u5d14\u9e4f\u526f\u6559\u6388\u5c06\u8ba8\u8bba\u5c06\u56e0\u679c\u63a8\u65ad\u4e0e\u673a\u5668\u6846\u67b6\u76f8\u878d\u5408\u89e3\u51b3\u673a\u5668\u5b66\u4e60\u7a33\u5b9a\u6027\u548c\u516c\u5e73\u6027\u7684\u601d\u8def\uff0c\u4fde\u626c\u6559\u6388\u548c\u51b5\u7428\u526f\u6559\u6388\u5c06\u5206\u522b\u8bb2\u8ff0\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\u548c\u53cd\u4e8b\u5b9e\u63a8\u7406\u4e0e\u51b3\u7b56\u7684\u6700\u65b0\u8fdb\u5c55\u3002\u7b2c\u4e09\u5929\uff0c\u4f55\u5411\u5357\u6559\u6388\u548c\u738b\u5e0c\u5ef7\u7814\u7a76\u5458\u5c06\u5206\u522b\u4ecb\u7ecd\u56e0\u679c\u63a8\u8350\u7cfb\u7edf\u7684\u76f8\u5173\u6210\u679c\u4ee5\u53ca\u56e0\u679c\u5728\u89e3\u51b3\u53ef\u89e3\u91ca\u6027\u95ee\u9898\u65b9\u9762\u7684\u5c1d\u8bd5\uff0c\u4e0b\u5348\u6240\u6709\u8bb2\u8005\u5c06\u56f4\u7ed5\u201c\u56e0\u679c\u5b66\u4e60\u548c\u51b3\u7b56\u7684\u6838\u5fc3\u57fa\u7840\u95ee\u9898\u201d\u5c55\u5f00\u73b0\u573a\u601d\u8fa8\u8ba8\u8bba\u3002\u901a\u8fc7\u4e09\u5929\u6559\u5b66\uff0c\u65e8\u5728\u5e26\u9886\u5b66\u5458\u5b9e\u73b0\u5bf9\u56e0\u679c\u5b66\u4e60\u548c\u51b3\u7b56\u4ece\u57fa\u7840\u7406\u8bba\u65b9\u6cd5\uff0c\u5230\u524d\u6cbf\u79d1\u7814\u52a8\u6001\uff0c\u518d\u5230\u5178\u578b\u5e94\u7528\u573a\u666f\u7684\u6df1\u5165\u5b66\u4e60\u4e0e\u601d\u8003\u3002<\/span><\/p>\n


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\u4e13\u9898\u8bb2\u5ea72: The potential outcome framework for causal inference
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\u8bb2\u8005\u7b80\u4ecb\uff1a\u803f\u76f4\uff0c\u5317\u4eac\u5de5\u5546\u5927\u5b66\u6570\u5b66\u4e0e\u7edf\u8ba1\u5b66\u9662\uff0c\u6559\u6388\u30021982\u5e74\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u672c\u79d1\u6bd5\u4e1a\uff0c1989\u5e74\u65e5\u672c\u4e5d\u5dde\u5927\u5b66\u83b7\u7406\u5b66\u535a\u58eb\u5b66\u4f4d\uff0c1989\u5e74\u81f32021\u5e74\u5317\u4eac\u5927\u5b66\u4efb\u6559\uff0c2022\u5e741\u6708\u81f3\u4eca\u5317\u4eac\u5de5\u5546\u5927\u5b66\u4efb\u6559\uff0c\u6b63\u5728\u7ec4\u5efa\u56e0\u679c\u63a8\u65ad\u7684\u7814\u7a76\u56e2\u961f\u3002\u7814\u7a76\u9886\u57df\u4e3a\u56e0\u679c\u63a8\u65ad\u3001\u4e0d\u5b8c\u5168\u6570\u636e\u7edf\u8ba1\u5206\u6790\u3001\u751f\u7269\u533b\u5b66\u7edf\u8ba1\u7b49\u3002\u7814\u7a76\u6210\u679c\u53d1\u8868\u5728\u7edf\u8ba1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u56fd\u5185\u5916\u520a\u7269\u30021996\u5e74\u5f53\u9009\u4e3a\u56fd\u9645\u7edf\u8ba1\u5b66\u4f1a\u63a8\u9009\u4f1a\u5458\uff0c1998\u5e74\u83b7\u56fd\u5bb6\u6770\u51fa\u9752\u5e74\u57fa\u91d1\u9879\u76ee\uff0c\u66fe\u5e94\u9080\u57282011\u5e74\u56fd\u9645\u5de5\u4e1a\u4e0e\u5e94\u7528\u6570\u5b66\u5927\u4f1a\uff08ICIAM 2011)\u505a60\u5206\u949f\u5927\u4f1a\u7279\u9080\u62a5\u544a\u3002\u66fe\u4efb\u4e2d\u56fd\u73b0\u573a\u7edf\u8ba1\u7814\u7a76\u4f1a\u7406\u4e8b\u957f\u3001\u4e2d\u56fd\u6982\u7387\u7edf\u8ba1\u5b66\u4f1a\u7406\u4e8b\u957f\u3001\u4e2d\u56fd\u7edf\u8ba1\u5b66\u4f1a\u526f\u4f1a\u957f\uff0cIMS-China\u4e3b\u5e2d\u3002\u73b0\u4efb\u5317\u4eac\u751f\u7269\u533b\u5b66\u7edf\u8ba1\u4e0e\u6570\u636e\u7ba1\u7406\u7814\u7a76\u4f1a\uff08BBA\uff09\u4f1a\u957f\uff0c\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u4e0d\u786e\u5b9a\u6027\u4eba\u5de5\u667a\u80fd\u4e13\u59d4\u4f1a\u526f\u4e3b\u4efb\u59d4\u5458\u3002<\/p>\n


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\u62a5\u544a\u9898\u76ee\uff1a\u56e0\u679c\u63a8\u65ad\u7efc\u8ff0\uff1a\u56e0\u679c\u4f5c\u7528\u3001\u56e0\u679c\u5173\u7cfb\u4e0e\u5f52\u56e0<\/p>\n


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\u62a5\u544a\u6458\u8981\uff1a\u56e0\u679c\u5173\u7cfb\u4e0d\u540c\u4e8e\u76f8\u5173\u5173\u7cfb\uff0c\u63a2\u7d22\u56e0\u679c\u662f\u5404\u79cd\u79d1\u5b66\u7814\u7a76\u7684\u6700\u7ec8\u76ee\u6807\u3002\u56e0\u679c\u63a8\u65ad\u4e3b\u8981\u6d89\u53ca\u56e0\u679c\u6982\u5ff5\u7684\u5b9a\u4e49\u3001\u56e0\u679c\u673a\u5236\u7814\u7a76\u3001\u539f\u56e0\u5bf9\u7ed3\u679c\u7684\u4f5c\u7528\u7684\u8bc4\u4ef7\u3001\u7531\u7ed3\u679c\u63a8\u65ad\u539f\u56e0\u7684\u5f52\u56e0\u3002\u8bfa\u8d1d\u5c14\u7ecf\u6d4e\u5b66\u5956\u83b7\u5f97\u8005J. Heckman\u5c06\u56e0\u679c\u63a8\u65ad\u6311\u6218\u95ee\u9898\u5206\u4e3a\u4e09\u4e2a\u5c42\u7ea7\uff1a\u5bf9\u5b9e\u65bd\u8fc7\u7684\u51b3\u7b56\u7684\u6548\u679c\u8bc4\u4ef7\u3001\u5bf9\u5b9e\u65bd\u8fc7\u7684\u51b3\u7b56\u5728\u5176\u4ed6\u73af\u5883\u5c06\u4f1a\u6709\u7684\u6548\u679c\u8bc4\u4ef7\u3001\u5bf9\u4ece\u672a\u5b9e\u65bd\u8fc7\u7684\u51b3\u7b56\u5c06\u4f1a\u6709\u7684\u6548\u679c\u8bc4\u4ef7\u3002\u56fe\u7075\u5956\u83b7\u5f97\u8005J. Pearl\u5c06\u56e0\u679c\u63a8\u65ad\u5206\u4e3a\u4e09\u4e2a\u5c42\u7ea7\uff1a\u76f8\u5173\u4e0e\u9884\u6d4b\u3001\u56e0\u679c\u4e0e\u51b3\u7b56\u3001\u53cd\u4e8b\u5b9e\u4e0e\u60f3\u8c61\u3002\u56e0\u679c\u63a8\u65ad\u7684\u6839\u672c\u95ee\u9898\u662f\u6d88\u9664\u6df7\u6742\u56e0\u7d20\u5f15\u8d77\u7684\u865a\u5047\u76f8\u5173\u6027\uff1b\u5728\u51e0\u4e4e\u6240\u6709\u79d1\u5b66\u9886\u57df\u4e2d\uff0c\u6df7\u6742\u90fd\u662f\u4e00\u4e2a\u5386\u53f2\u60a0\u4e45\u7684\u95ee\u9898\u3002\u4eba\u7c7b\u5df2\u7ecf\u4e60\u60ef\u4e8e\u903b\u8f91\u63a8\u7406\uff0c\u4f46\u662f\u5c06\u903b\u8f91\u63a8\u7406\u5e94\u7528\u4e8e\u56e0\u679c\u63a8\u65ad\u7684\u7ed3\u8bba\u5c06\u4f1a\u5f15\u8d77\u5404\u79cd\u6096\u8bba\u3002\u672c\u62a5\u544a\u5c06\u56de\u987e\u56e0\u679c\u63a8\u65ad\u7684\u53d1\u5c55\uff0c\u4ecb\u7ecd\u56e0\u679c\u63a8\u65ad\u5f53\u524d\u7684\u4e24\u4e2a\u4e3b\u8981\u7684\u6a21\u578b\uff1a\u4ee5DB Rubin\u4e3a\u4ee3\u8868\u7684\u6f5c\u5728\u7ed3\u679c\u6a21\u578b\u3001\u4ee5J Pearl\u4e3a\u4ee3\u8868\u7684\u56e0\u679c\u7f51\u7edc\u6a21\u578b\u3002\u57fa\u4e8e\u4e24\u4e2a\u56e0\u679c\u6a21\u578b\uff0c\u63a2\u8ba8\u6df7\u6742\u56e0\u7d20\u7684\u5224\u65ad\u51c6\u5219\u3001\u56e0\u679c\u6548\u5e94(Effects of Causes)\u7684\u53ef\u8bc6\u522b\u6027\u548c\u4f30\u8ba1\u3001\u56e0\u679c\u7f51\u7edc\u7ed3\u6784\u5b66\u4e60\u3001\u56e0\u679c\u7f51\u7edc\u5c40\u90e8\u5b66\u4e60\u4e0e\u56e0\u679c\u4f5c\u7528\u8bc4\u4ef7\u7684\u7ed3\u5408\u65b9\u6cd5\u3002\u8fdb\u4e00\u6b65\u4ecb\u7ecd\u6709\u5173\u56de\u987e\u6027\u7684\u56e0\u679c\u63a8\u65ad\u3001\u8bc4\u4ef7\u7ed3\u679c\u7684\u539f\u56e0(Causes of Effects)\u548c\u5f52\u56e0(Attribution)\u7684\u95ee\u9898\u3002\u2003<\/p>\n<\/section>\n<\/section>\n


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\u5317\u4eac\u5927\u5b66 \u52a9\u7406\u6559\u6388<\/span><\/p>\n


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\u8bb2\u8005\u7b80\u4ecb\uff1aWang Miao is currently Assistant Professor at the School of Mathematical Sciences at Peking University. Before that, he obtained PhD (2017) and BS (2012) degrees from the School of Mathematical Sciences at Peking University, and did postdoctoral research (2017–2018) at the Department of Biostatistics at Harvard University. His research interest spans in causal inference, missing data analysis, semiparametrics, and related fields in epidemiology, biostatistics, and business. Personal website: <\/p>\n

https:\/\/www.math.pku.edu.cn\/teachers\/mwfy\/
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<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1aThe potential outcome framework for causal inference<\/p>\n


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\u62a5\u544a\u6458\u8981\uff1aThis talk is a brief introduction of the potential outcome framework for causal inference. We first introduce   the definition  of causal effects with potential outcomes and then focus on several  causal problems.  Particularly, we will discuss  randomization inference, confounding adjustment,  and proximal inference.  Applications in synthetic control and test negative design will be used for illustration.<\/p>\n<\/section>\n<\/section>\n


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\u8bb2\u8005\u7b80\u4ecb\uff1a\u8521\u745e\u521d\uff0c\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\u3001\u6570\u636e\u6316\u6398\u4e0e\u4fe1\u606f\u68c0\u7d22\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\uff0c\u56fd\u5bb6\u4f18\u79c0\u9752\u5e74\u57fa\u91d1\u83b7\u5f97\u8005\u30022010\u5e74\u4e8e\u534e\u5357\u7406\u5de5\u5927\u5b66\u83b7\u5f97\u5de5\u5b66\u535a\u58eb\u5b66\u4f4d\uff0c\u5e76\u8fdb\u5165\u5e7f\u4e1c\u5de5\u4e1a\u5927\u5b66\u5de5\u4f5c\uff1b2015\u5e74\u5e76\u88ab\u8bc4\u4e3a\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\uff1b\u66fe\u5148\u540e\u5230\u65b0\u52a0\u5761\u56fd\u7acb\u5927\u5b66\u3001UIUC\u9ad8\u7b49\u6570\u5b57\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\u8bbf\u95ee\u5b66\u4e60\u3002\u8521\u6559\u6388\u4e13\u6ce8\u4e8e\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u4e0e\u56e0\u679c\u6027\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u7b49\u9886\u57df\u7684\u7406\u8bba\u4e0e\u5e94\u7528\u7814\u7a76\u3002\u5728\u4e0a\u8ff0\u9886\u57df\u5148\u540e\u4e3b\u6301\u56fd\u5bb6\u4f18\u79c0\u9752\u5e74\u57fa\u91d1\u3001\u79d1\u6280\u90e8\u201d\u79d1\u6280\u521b\u65b02030\u201c\u91cd\u5927\u9879\u76ee\u3001\u7701\u6770\u51fa\u9752\u5e74\u57fa\u91d1\u3001\u7701\u7279\u652f\u8ba1\u5212\u7b49\u9879\u76ee\uff1b\u63d0\u51fa\u4e86\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u4e0e\u56e0\u679c\u6027\u5b66\u4e60\u7cfb\u5217\u65b9\u6cd5\uff0c\u5728ICML\u3001NIPS\u3001AAAI\u3001IJCAI\u7b49\u9886\u57df\u91cd\u8981\u4f1a\u8bae\u548cTNNLS\u3001TKDE\u7b49\u56fd\u9645\u8457\u540d\u671f\u520a\u53d1\u8868\u8bba\u6587100\u4f59\u7bc7\uff1b\u89e3\u51b3\u4e86\u56e0\u679c\u6545\u969c\u5b9a\u4f4d\u3001\u56e0\u679c\u51b3\u7b56\u4f18\u5316\u7b49\u5e94\u7528\u96be\u9898\uff0c\u76f8\u5173\u6210\u679c\u5728\u534e\u4e3a\u3001\u7f51\u6613\u3001\u817e\u8baf\u3001\u6ef4\u6ef4\u3001\u552f\u54c1\u4f1a\u3001\u5357\u65b9\u7535\u7f51\u3001\u5357\u65b9\u901a\u4fe1\u5efa\u8bbe\u7b49\u4f01\u4e1a\u5b9e\u65bd\uff0c\u53d6\u5f97\u4e86\u826f\u597d\u7684\u7ecf\u6d4e\u548c\u793e\u4f1a\u4ef7\u503c\uff1b\u83b7\u5f97\u7701\u79d1\u5b66\u6280\u672f\u4e00\u7b49\u5956\uff08\u7b2c\u4e09\u5b8c\u6210\u4eba\uff09\u3001\u56fd\u5bb6\u53d1\u660e\u4e13\u5229\u5956\u4f18\u79c0\u5956\uff08\u7b2c\u4e09\u5b8c\u6210\u4eba\uff09\u7b49\u5956\u9879\uff1b\u6307\u5bfc\u5b66\u751f\u83b7\u5f97NeurIPS 2019\u89e3\u8026\u5b66\u4e60\u7b97\u6cd5\u5927\u8d5b\u7b2c\u4e00\u540d\u3001\u4e9a\u592a\u56e0\u679c\u63a8\u7406\u5927\u4f1a\u63a8\u7406\u5927\u8d5b\u7b2c\u4e00\u540d\u7b49\u5956\u9879\uff1b\u5148\u540e\u62c5\u4efbNeurIPS\u3001ICML\u7b49\u4f1a\u8bae\u7684Area Chair\uff0cIJCAI\u3001AAAI\u7b49\u4f1a\u8bae\u7684SPC\u7b49\u3002<\/p>\n


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\u62a5\u544a\u9898\u76ee\uff1aSCM\u4e0e\u56e0\u679c\u5173\u7cfb\u53d1\u73b0<\/p>\n


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\u62a5\u544a\u6458\u8981\uff1a\u63a2\u7d22\u548c\u53d1\u73b0\u4e8b\u7269\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u662f\u6570\u636e\u79d1\u5b66\u7684\u4e00\u4e2a\u6838\u5fc3\u95ee\u9898\u3002\u5728\u8fc7\u53bb\u7684\u6570\u5341\u5e74\u4e2d\uff0c\u57fa\u4e8e\u89c2\u5bdf\u6570\u636e\u7684\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u65b9\u6cd5\u5728\u57fa\u7840\u7406\u8bba\u3001\u7b97\u6cd5\u8bbe\u8ba1\u53ca\u5b9e\u9645\u5e94\u7528\u65b9\u9762\u83b7\u5f97\u4e86\u5f88\u5927\u7684\u53d1\u5c55\uff0c\u5f15\u8d77\u4e86\u76f8\u5173\u9886\u57df\u5b66\u8005\u7684\u5173\u6ce8\u3002\u672c\u62a5\u544a\u62df\u4ece\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08Structural causal model\uff0cSCM\uff09\u51fa\u53d1\uff0c\u5bf9\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u7684\u57fa\u7840\u7406\u8bba\u548c\u65b9\u6cd5\u8fdb\u884c\u4ecb\u7ecd\uff0c\u5e76\u4ece\u9690\u53d8\u91cf\u6570\u636e\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u3001\u975e\u72ec\u7acb\u540c\u5206\u5e03\u6570\u636e\u56e0\u679c\u5173\u7cfb\u53d1\u73b0\u7b49\u524d\u6cbf\u8fdb\u5c55\u8fdb\u884c\u63a2\u8ba8\u3002 <\/p>\n<\/section>\n<\/section>\n


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\u8bb2\u8005\u7b80\u4ecb\uff1a\u5d14\u9e4f\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u957f\u8058\u526f\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u7814\u7a76\u5174\u8da3\u805a\u7126\u4e8e\u5927\u6570\u636e\u9a71\u52a8\u7684\u56e0\u679c\u63a8\u7406\u548c\u7a33\u5b9a\u9884\u6d4b\u3001\u5927\u89c4\u6a21\u7f51\u7edc\u8868\u5f81\u5b66\u4e60\u7b49\u3002\u5728\u6570\u636e\u6316\u6398\u53ca\u4eba\u5de5\u667a\u80fd\u9886\u57df\u9876\u7ea7\u56fd\u9645\u4f1a\u8bae\u53d1\u8868\u8bba\u6587100\u4f59\u7bc7\uff0c\u5148\u540e5\u6b21\u83b7\u5f97\u56fd\u9645\u4f1a\u8bae\u6216\u671f\u520a\u8bba\u6587\u5956\uff0c\u5e76\u5148\u540e\u4e24\u6b21\u5165\u9009\u6570\u636e\u6316\u6398\u9886\u57df\u9876\u7ea7\u56fd\u9645\u4f1a\u8baeKDD\u6700\u4f73\u8bba\u6587\u4e13\u520a\u3002\u62c5\u4efbIEEE TKDE\u3001ACM TOMM\u3001ACM TIST\u3001IEEE TBD\u7b49\u56fd\u9645\u671f\u520a\u7f16\u59d4\u3002\u66fe\u83b7\u5f97\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u4e8c\u7b49\u5956\u3001\u6559\u80b2\u90e8\u81ea\u7136\u79d1\u5b66\u4e00\u7b49\u5956\u3001\u7535\u5b50\u5b66\u4f1a\u81ea\u7136\u79d1\u5b66\u4e00\u7b49\u5956\u3001\u5317\u4eac\u5e02\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u3001\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u9752\u5e74\u79d1\u5b66\u5bb6\u5956\u3001\u56fd\u9645\u8ba1\u7b97\u673a\u534f\u4f1a\uff08ACM\uff09\u6770\u51fa\u79d1\u5b66\u5bb6\u3002<\/p>\n


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\u62a5\u544a\u9898\u76ee\uff1a\u56e0\u679c\u542f\u53d1\u7684\u7a33\u5b9a\u5b66\u4e60\u4e0e\u5206\u5e03\u5916\u6cdb\u5316<\/p>\n


<\/p>\n

\u62a5\u544a\u6458\u8981\uff1a\u4e3b\u6d41\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u57fa\u672c\u5047\u8bbe\u662f\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6570\u636e\u7684\u72ec\u7acb\u540c\u5206\u5e03\uff08IID\uff09\uff0c\u5bfc\u81f4\u5176\u7f3a\u4e4f\u5bf9\u5206\u5e03\u5916\u6570\u636e\u7684\u6cdb\u5316\u80fd\u529b\uff08Out-Of-Distribution Generalization\uff09\uff0c\u4f7f\u5f97\u5f53\u524d\u6a21\u578b\u5728\u771f\u5b9e\u3001\u5f00\u653e\u573a\u666f\u4e0b\u7684\u9884\u6d4b\u6027\u80fd\u65e0\u6cd5\u4fdd\u8bc1\uff0c\u662f\u5f53\u524d\u673a\u5668\u5b66\u4e60\u7814\u7a76\u7684\u516c\u8ba4\u91cd\u8981\u96be\u9898\u4e4b\u4e00\u3002\u672c\u62a5\u544a\u5c06\u91cd\u70b9\u4ecb\u7ecd\u56e0\u679c\u542f\u53d1\u7684\u7a33\u5b9a\u5b66\u4e60\u6700\u65b0\u7814\u7a76\u8fdb\u5c55\uff0c\u5e76\u9488\u5bf9\u5206\u5e03\u5916\u6cdb\u5316\u95ee\u9898\u8fdb\u884c\u5168\u9762\u4ecb\u7ecd\u548c\u601d\u8def\u5206\u6790\u3002 <\/p>\n<\/section>\n<\/section>\n


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\u5357\u4eac\u5927\u5b66 \u6559\u6388<\/span><\/p>\n


<\/p>\n<\/section>\n

\n
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\u8bb2\u8005\u7b80\u4ecb\uff1a\u5357\u4eac\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u5b66\u9662\u6559\u6388\uff0c\u4e3b\u8981\u4ece\u4e8b\u673a\u5668\u5b66\u4e60\u3001\u5f3a\u5316\u5b66\u4e60\u7684\u7814\u7a76\u5de5\u4f5c\u3002\u83b72020 CCF-IEEE\u9752\u5e74\u79d1\u5b66\u5bb6\u5956\u3002\u5165\u90092018 IEEE\u56fd\u9645\u4eba\u5de5\u667a\u80fd\u5341\u5927\u65b0\u661f(AI’s 10 to Watch)\uff0c\u83b7\u9996\u5c4a\u4e9a\u592a\u6570\u636e\u6316\u201c\u9752\u5e74\u6210\u5c31\u5956\u201d\uff0c\u5e76\u53d7\u9080\u5728\u56fd\u9645\u4eba\u5de5\u667a\u80fd\u8054\u5408\u5927\u4f1a IJCAI’18 \u4f5c\u201c\u9752\u5e74\u4eae\u70b9\u62a5\u544a\u201d(Early Career Spotlight)\u3002\u7814\u7a76\u5de5\u4f5c\u83b74\u9879\u56fd\u9645\u8bba\u6587\u5956\u52b1\u548c3\u9879\u56fd\u9645\u7b97\u6cd5\u7ade\u8d5b\u51a0\u519b\u3002<\/p>\n


<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u56e0\u679c\u5f3a\u5316\u5b66\u4e60\u7814\u7a76\u8fdb\u5c55<\/p>\n


<\/p>\n

\u62a5\u544a\u6458\u8981\uff1a\u56e0\u679c\u5b66\u4e60\u4e0e\u5f3a\u5316\u5b66\u4e60\u957f\u671f\u4ee5\u6765\u662f\u72ec\u7acb\u53d1\u5c55\u7684\u4e24\u4e2a\u5206\u652f\u5b66\u79d1\uff0c\u5f88\u5c11\u6709\u6240\u7ed3\u5408\u3002\u7136\u800c\u4e24\u8005\u4e4b\u95f4\u6709\u7740\u5f88\u5f3a\u7684\u5185\u5728\u8054\u7cfb\u3002\u62a5\u544a\u5c06\u4ece\u5f3a\u5316\u5b66\u4e60\u7684\u89d2\u5ea6\uff0c\u4ecb\u7ecd\u56e0\u679c\u5b66\u4e60\u5728\u5f3a\u5316\u5b66\u4e60\u4efb\u52a1\u4e2d\u7684\u5fc5\u8981\u6027\uff0c\u5e76\u4ecb\u7ecd\u56e0\u679c\u5b66\u4e60\u5728\u72b6\u6001\u62bd\u8c61\u548c\u73af\u5883\u6a21\u578b\u5b66\u4e60\u65b9\u9762\u80fd\u4e3a\u5f3a\u5316\u5b66\u4e60\u5e26\u6765\u7684\u6539\u8fdb\u3002 <\/p>\n<\/section>\n<\/section>\n


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\u51b5\u7428<\/p>\n

\u6d59\u6c5f\u5927\u5b66 \u526f\u6559\u6388<\/span><\/p>\n


<\/p>\n<\/section>\n

\n
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\u8bb2\u8005\u7b80\u4ecb\uff1a\u51b5\u7428\uff0c\u6d59\u6c5f\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u526f\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\uff0c\u4eba\u5de5\u667a\u80fd\u7cfb\u526f\u4e3b\u4efb\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\u56e0\u679c\u63a8\u7406\u3001\u6570\u636e\u6316\u6398\u3001\u56e0\u679c\u53ef\u4fe1\u673a\u5668\u5b66\u4e60\u3002\u5728\u6570\u636e\u6316\u6398\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u5df2\u53d1\u8868\u8fd150\u4f59\u7bc7\u9876\u7ea7\u4f1a\u8bae\u548c\u671f\u520a\u6587\u7ae0\uff0c\u5305\u62ecKDD\u3001ICML\u3001MM\u3001AAAI\u3001TKDE\u3001TKDD\u3001Engineering\u7b49\u3002\u66fe\u83b72021\u5e74\u5ea6\u4e2d\u56fd\u79d1\u534f\u9752\u5e74\u4eba\u624d\u6258\u4e3e\u5de5\u7a0b\u9879\u76ee\u652f\u6301\uff0c2021\u5e74\u5ea6\u4e2d\u56fd\u7535\u5b50\u5b66\u4f1a\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u3002<\/p>\n


<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u5927\u6570\u636e\u56e0\u679c\u63a8\u7406\u4e0e\u5f3a\u5316\u51b3\u7b56<\/p>\n


<\/p>\n

\u62a5\u544a\u6458\u8981\uff1a\u56e0\u679c\u51b3\u7b56\u95ee\u9898\u5b58\u5728\u4e8e\u8bb8\u591a\u9886\u57df\uff0c\u4f8b\u5982\u533b\u7597\u4fdd\u5065\u3001\u7ecf\u6d4e\u5b66\u3001\u653f\u6cbb\u5b66\u3001\u6570\u5b57\u8425\u9500\u7b49\u3002\u57fa\u4e8e\u5386\u53f2\u5927\u6570\u636e\uff0c\u5982\u4f55\u63a8\u65ad\u56e0\u679c\u6548\u5e94\u6210\u4e3a\u56e0\u679c\u51b3\u7b56\u7684\u5173\u952e\u3002\u5728\u672c\u6b21\u62a5\u544a\u4e2d\uff0c\u6211\u5c06\u91cd\u70b9\u4ecb\u7ecd\u56e0\u679c\u63a8\u7406\u51b3\u7b56\u5728\u5927\u6570\u636e\u80cc\u666f\u4e0b\u6240\u9047\u5230\u7684\u5168\u65b0\u6311\u6218\uff0c\u5305\u62ec\uff081\uff09\u9ad8\u7ef4\u566a\u58f0\u53d8\u91cf\uff1b\uff082\uff09\u672a\u77e5\u6df7\u6dc6\u53d8\u91cf\uff1b\uff083\uff09\u8fde\u7eed\/\u590d\u6742\u5e72\u9884\u53d8\u91cf\u7b49\u3002\u540c\u65f6\uff0c\u5229\u7528\u56e0\u679c\u63a8\u7406\u8d4b\u80fd\u673a\u5668\u5b66\u4e60\uff0c\u6211\u4eec\u5c06\u56e0\u679c\u53cd\u4e8b\u5b9e\u673a\u5236\u548c\u56e0\u679c\u53bb\u504f\u5dee\u601d\u60f3\u5e94\u7528\u4e8e\u591a\u667a\u80fd\u4f53\u5f3a\u5316\u5b66\u4e60\u9886\u57df\u3002\u9488\u5bf9\u591a\u667a\u80fd\u4f53\u5f3a\u5316\u5b66\u4e60\u4e2d\u7684\u4fe1\u5ea6\u5206\u914d\u95ee\u9898\uff0c\u5206\u522b\u63d0\u51fa\u4e86\uff081\uff09\u57fa\u4e8e\u56e0\u679c\u6c99\u666e\u5229\u503c\u7684\u53cd\u4e8b\u5b9e\u4fe1\u5ea6\u5206\u914d\u6a21\u578b\uff0c\u548c\uff082\uff09\u53bb\u504f\u5dee\u7684\u503c\u5206\u89e3\u7b97\u6cd5\u7b49\u3002\u901a\u8fc7\u5f15\u5165\u56e0\u679c\u77e5\u8bc6\uff0c\u8fd9\u4e9b\u7b97\u6cd5\u6709\u6548\u63d0\u5347\u4e86\u591a\u667a\u80fd\u4f53\u5f3a\u5316\u5b66\u4e60\u7684\u6548\u679c\u3002<\/p>\n<\/section>\n<\/section>\n


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\u4f55\u5411\u5357<\/p>\n

\u4e2d\u56fd\u79d1\u6280\u5927\u5b66 \u6559\u6388<\/span><\/p>\n


<\/p>\n<\/section>\n

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\u8bb2\u8005\u7b80\u4ecb\uff1a\u4f55\u5411\u5357\uff0c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u6559\u6388\u3001\u535a\u5bfc\u3001\u5927\u6570\u636e\u5b66\u9662\u526f\u9662\u957f\u3002\u957f\u671f\u81f4\u529b\u4e8e\u4fe1\u606f\u68c0\u7d22\u4e0e\u63a8\u8350\u3001\u6570\u636e\u6316\u6398\u7b49\u65b9\u5411\u7684\u7814\u7a76\uff0c\u5728\u76f8\u5173\u7684CCF A\u7c7b\u56fd\u9645\u9876\u7ea7\u4f1a\u8bae\u548c\u671f\u520a\u53d1\u8868\u8bba\u6587100\u4f59\u7bc7\uff0c\u5305\u62ecSIGIR\u3001KDD\u3001WWW\u7b49\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u75282\u4e07\u4f59\u6b21\u3002\u66fe\u83b7SIGIR 2021\u3001WWW 2018\u3001SIGIR 2016\u6700\u4f73\u8bba\u6587\u63d0\u540d\u5956\u3001\u963f\u91cc\u5df4\u5df4\u8fbe\u6469\u9662\u9752\u6a59\u5956\u7b49\uff0c\u57282022\u5e74AI 2000\u4eba\u5de5\u667a\u80fd\u6700\u5177\u5f71\u54cd\u529b\u5b66\u8005\u201c\u4fe1\u606f\u68c0\u7d22\u4e0e\u63a8\u8350\u201d\u9886\u57df\u6392\u540d\u7b2c\u4e00\u3002\u62c5\u4efb\u591a\u4e2a\u671f\u520a\u7684\u7f16\u59d4\/\u526f\u4e3b\u7f16\uff0c\u5982ACM Transactions on Information Systems (TOIS), ACM Transactions on Recommender Systems (TORS), IEEE Transactions on Big Data (TBD), AI Open\u7b49\u3002\u4e3b\u6301\u591a\u9879\u56fd\u5bb6\u7ea7\u8bfe\u9898\uff0c\u5982\u56fd\u5bb6\u57fa\u91d1\u59d4\u91cd\u70b9\u9879\u76ee\uff0c\u79d1\u6280\u90e8\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bfe\u9898\u7b49\u3002<\/p>\n


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\u62a5\u544a\u9898\u76ee\uff1a\u56e0\u679c\u63a8\u8350\u65b9\u6cd5\u6982\u8ff0<\/p>\n


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\u62a5\u544a\u9898\u76ee\uff1a\u8ba9\u6df1\u5ea6\u6a21\u578b\u50cf\u4eba\u4e00\u6837\u63a8\u7406\u4e0e\u89e3\u91ca<\/p>\n


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\u5d14\u9e4f\uff0c\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u957f\u8058\u526f\u6559\u6388\uff0c\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u7814\u7a76\u5174\u8da3\u805a\u7126\u4e8e\u5927\u6570\u636e\u9a71\u52a8\u7684\u56e0\u679c\u63a8\u7406\u548c\u7a33\u5b9a\u9884\u6d4b\u3001\u5927\u89c4\u6a21\u7f51\u7edc\u8868\u5f81\u5b66\u4e60\u7b49\u3002\u5728\u6570\u636e\u6316\u6398\u53ca\u4eba\u5de5\u667a\u80fd\u9886\u57df\u9876\u7ea7\u56fd\u9645\u4f1a\u8bae\u53d1\u8868\u8bba\u6587100\u4f59\u7bc7\uff0c\u5148\u540e5\u6b21\u83b7\u5f97\u56fd\u9645\u4f1a\u8bae\u6216\u671f\u520a\u8bba\u6587\u5956\uff0c\u5e76\u5148\u540e\u4e24\u6b21\u5165\u9009\u6570\u636e\u6316\u6398\u9886\u57df\u9876\u7ea7\u56fd\u9645\u4f1a\u8baeKDD\u6700\u4f73\u8bba\u6587\u4e13\u520a\u3002\u62c5\u4efbIEEE TKDE\u3001ACM TOMM\u3001ACM TIST\u3001IEEE TBD\u7b49\u56fd\u9645\u671f\u520a\u7f16\u59d4\u3002\u66fe\u83b7\u5f97\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u4e8c\u7b49\u5956\u3001\u6559\u80b2\u90e8\u81ea\u7136\u79d1\u5b66\u4e00\u7b49\u5956\u3001\u7535\u5b50\u5b66\u4f1a\u81ea\u7136\u79d1\u5b66\u4e00\u7b49\u5956\u3001\u5317\u4eac\u5e02\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u3001\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u9752\u5e74\u79d1\u5b66\u5bb6\u5956\u3001\u56fd\u9645\u8ba1\u7b97\u673a\u534f\u4f1a\uff08ACM\uff09\u6770\u51fa\u79d1\u5b66\u5bb6\u3002<\/p>\n<\/section>\n<\/section>\n


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\u65f6\u95f4<\/span><\/strong>\uff1a2022\u5e749\u670824\u65e5-9\u670826\u65e5<\/span><\/p>\n

\u7ebf\u4e0b\u5730\u5740<\/span><\/strong>\uff08\u75ab\u60c5\u5141\u8bb8\u7684\u60c5\u51b5\u4e0b\uff09\uff1a\u5317\u4eac\u2022\u4e2d\u56fd\u79d1\u5b66\u9662\u8ba1\u7b97\u6280\u672f\u7814\u7a76\u6240\u4e00\u5c42\u62a5\u544a\u5385<\/span>\uff08\u5317\u4eac\u5e02\u6d77\u6dc0\u533a\u4e2d\u5173\u6751\u79d1\u5b66\u9662\u5357\u8def6\u53f7\uff09<\/span><\/p>\n

\u7ebf\u4e0a\u5730\u5740<\/span><\/strong>\uff1a<\/span>\u62a5\u540d\u4ea4\u8d39\u6210\u529f\u540e\uff0c\u4f1a\u524d\u4e00\u5468\u901a\u8fc7\u90ae\u4ef6\u53d1\u9001\u3002<\/span>
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\u62a5\u540d\u987b\u77e5\uff1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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1\u3001\u62a5\u540d\u8d39\uff1aCCF\u4f1a\u54582800\u5143\uff0c\u975e\u4f1a\u54583600\u5143\u3002\u53d7\u75ab\u60c5\u5f71\u54cd\uff0c\u672c\u671fADL\u7ebf\u4e0a\u7ebf\u4e0b\u540c\u6b65\u4e3e\u529e\uff0c\u7ebf\u4e0a\u7ebf\u4e0b\u62a5\u540d\u6ce8\u518c\u8d39\u7528\u76f8\u540c\u3002\u98df\u5bbf\u4ea4\u901a\u8d39\u7528\u81ea\u7406\u3002\u6839\u636e\u4ea4\u8d39\u5148\u540e\u987a\u5e8f\uff0c\u4f1a\u5458\u4f18\u5148\u7684\u539f\u5219\u5f55\u53d6\uff0c\u989d\u6ee1\u4e3a\u6b62\u3002\u75ab\u60c5\u671f\u95f4\uff0c\u6839\u636e\u653f\u5e9c\u75ab\u60c5\u9632\u63a7\u653f\u7b56\u968f\u65f6\u8c03\u6574\u4e3e\u529e\u5f62\u5f0f\uff08\u7ebf\u4e0a\u3001\u7ebf\u4e0b\uff09\u3002<\/p>\n

2\u3001\u62a5\u540d\u622a\u6b62\u65e5\u671f\uff1a9\u670822\u65e5\u3002\u62a5\u540d\u8bf7\u9884\u7559\u4e0d\u4f1a\u62e6\u622a\u5916\u90e8\u90ae\u4ef6\u7684\u90ae\u7bb1\uff0c\u5982qq\u90ae\u7bb1\u3002<\/p>\n

3\u3001\u54a8\u8be2\u90ae\u7bb1 : adl@ccf.org.cn<\/p>\n<\/section>\n

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\u5728\u62a5\u540d\u7cfb\u7edf\u4e2d\u5728\u7ebf\u7f34\u8d39\u6216\u8005\u901a\u8fc7\u94f6\u884c\u8f6c\u8d26\uff1a<\/span><\/p>\n

\u94f6\u884c\u8f6c\u8d26\uff08\u652f\u6301\u7f51\u94f6\u3001\u652f\u4ed8\u5b9d\uff09\uff1a<\/span><\/p>\n

\u5f00\u6237\u884c\uff1a\u62db\u5546\u94f6\u884c\u5317\u4eac\u6d77\u6dc0\u652f\u884c<\/span><\/p>\n

\u6237\u540d\uff1a\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a<\/span><\/p>\n

\u8d26\u53f7\uff1a110943026510701<\/span><\/p>\n

\u8bf7\u52a1\u5fc5\u6ce8\u660e\uff1aADL130+\u59d3\u540d<\/span><\/p>\n

\u62a5\u540d\u7f34\u8d39\u540e\uff0c\u62a5\u540d\u7cfb\u7edf\u4e2d\u663e\u793a\u7f34\u8d39\u5b8c\u6210\uff0c\u5373\u4e3a\u62a5\u540d\u6210\u529f\u3002<\/span><\/p>\n

\u62a5\u540d\u65b9\u5f0f\uff1a\u8bf7\u9009\u62e9\u4ee5\u4e0b\u4e24\u79cd\u65b9\u5f0f\u4e4b\u4e00\u62a5\u540d\uff1a<\/span><\/p>\n

1\u3001\u626b\u63cf\uff08\u8bc6\u522b\uff09\u4ee5\u4e0b\u4e8c\u7ef4\u7801\u62a5\u540d\uff1a<\/span><\/p>\n

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2\u3001\u590d\u5236\u4ee5\u4e0b\u94fe\u63a5\u81f3\u6d4f\u89c8\u5668\u6216\u70b9\u51fb\u5de6\u4e0b\u89d2\u201c\u9605\u8bfb\u539f\u6587\u201d\u62a5\u540d\uff1a<\/span><\/p>\n

https:\/\/conf.ccf.org.cn\/ADL130<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u52a0\u5165\u56e0\u679c\u79d1\u5b66\u793e\u533a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/p>\n

\u56e0\u679c+X\uff1a\u89e3\u51b3\u591a\u5b66\u79d1\u9886\u57df\u7684\u56e0\u679c\u95ee\u9898 | \u56e0\u679c\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63\u542f\u52a8<\/a><\/span><\/strong><\/span><\/p>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u7acb\u5373\u62a5\u540d<\/span><\/strong><\/section>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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