{"id":49194,"date":"2024-03-26T19:13:10","date_gmt":"2024-03-26T11:13:10","guid":{"rendered":"https:\/\/swarma.org\/?p=49194"},"modified":"2024-03-26T19:13:10","modified_gmt":"2024-03-26T11:13:10","slug":"%e6%97%b6%e5%ba%8f%e6%97%b6%e7%a9%ba%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%af%bb%e4%b9%a6%e4%bc%9a%e5%90%af%e5%8a%a8%ef%bc%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%bc%80%e5%90%af%e6%97%b6%e5%ba%8f%e6%97%b6%e7%a9%ba","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=49194","title":{"rendered":"\u65f6\u5e8f\u65f6\u7a7a\u5927\u6a21\u578b\u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u5927\u6a21\u578b\u5f00\u542f\u65f6\u5e8f\u65f6\u7a7a\u6570\u636e\u6316\u6398\u65b0\u89c6\u89d2"},"content":{"rendered":"
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\u56fe1. \u5927\u578b\u6a21\u578b\uff08\u5373\u8bed\u8a00\u548c\u5176\u4ed6\u76f8\u5173\u7684\u57fa\u7840\u6a21\u578b\uff09\u65e2\u53ef\u4ee5\u8bad\u7ec3\uff0c\u4e5f\u53ef\u4ee5\u5de7\u5999\u5730\u91cd\u65b0\u8c03\u6574\u7528\u9014\uff0c\u4ee5\u5904\u7406\u4e00\u7cfb\u5217\u901a\u7528\u4efb\u52a1\u548c\u4e13\u7528\u9886\u57df\u5e94\u7528\u4e2d\u7684\u65f6\u95f4\u5e8f\u5217\u548c\u65f6\u7a7a\u6570\u636e\u3002<\/span><\/p>\n

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\u56fe2. \u4ee3\u8868\u6027\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08\u5de6\uff09\u548c\u5176\u4ed6\u57fa\u7840\u6a21\u578b\uff08\u53f3\uff09\u7684\u8def\u7ebf\u56fe\uff5c\u56fe\u7247\u6765\u6e90\uff1a[2310.10196] Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook (arxiv.org)<\/span><\/p>\n

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\u6881\u5b87\u8f69\uff0c<\/strong>\u9999\u6e2f\u79d1\u6280\u5927\u5b66\uff08\u5e7f\u5dde\uff09\u667a\u80fd\u4ea4\u901a\u5b66\u57df\u3001\u6570\u636e\u79d1\u5b66\u4e0e\u5206\u6790\u5b66\u57df\u52a9\u7406\u6559\u6388\u3001\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u957f\u671f\u4ece\u4e8b\u4eba\u5de5\u667a\u80fd\u4e0e\u65f6\u7a7a\u6570\u636e\u6316\u6398\u6280\u672f\u5728\u57ce\u5e02\u8ba1\u7b97\u3001\u667a\u80fd\u4ea4\u901a\u7b49\u9886\u57df\u7684\u8de8\u5b66\u79d1\u4ea4\u53c9\u7814\u7a76\u3002\u5728TPAMI\u3001TKDE\u3001AI Journal\u3001KDD\u3001WWW\u3001NeurIPS\u3001ICLR\u7b49\u591a\u4e2a\u6743\u5a01\u56fd\u9645\u671f\u520a\u548c\u4f1a\u8bae\u53d1\u8868\u9ad8\u6c34\u5e73\u8bba\u658760\u4f59\u7bc7\uff0c\u5176\u4e2dCCF A\u7c7b\u8bba\u6587\u8fbe40\u4f59\u7bc7\u3002\u8c37\u6b4c\u5b66\u672f\u5f15\u7528\u91cf3400\u4f59\u6b21\uff0ch-index\u4e3a28\uff0c\u591a\u7bc7\u8bba\u6587\u5165\u9009\u6700\u5177\u5f71\u54cd\u529bKDD\/IJCAI\u8bba\u6587\u3002\u957f\u671f\u62c5\u4efbTKDE\u3001TMC\u3001TNNLS\u7b49\u56fd\u9645\u77e5\u540d\u671f\u520a\u5ba1\u7a3f\u4eba\uff0cKDD\u3001WWW\u3001NeurIPS\u3001ICML\u3001ICLR\u7b49\u56fd\u9645\u9876\u7ea7\u4f1a\u8bae\u7a0b\u5e8f\u59d4\u5458\u4f1a\u6210\u5458\uff0c\u66fe\u83b7\u8bc4SIGSPATIAL\u6770\u51fa\u7a0b\u5e8f\u59d4\u5458\u4f1a\u6210\u5458\u3002\u591a\u6b21\u62c5\u4efb\u6570\u636e\u6316\u6398\u548c\u4eba\u5de5\u667a\u80fd\u9876\u4f1a (KDD\u3001IJCAI\u7b49) Workshop on Urban Computing, Workshop on AI for Time Series\u7684\u8054\u5408\u4e3b\u5e2d\u3002\u66fe\u83b7\u5f97\u65b0\u52a0\u5761\u6570\u636e\u79d1\u5b66\u8054\u5408\u4f1a\u8bba\u6587\u7814\u7a76\u5956\uff0c\u7b2c\u4e8c\u5341\u4e09\u5c4a\u4e2d\u56fd\u4e13\u5229\u4f18\u79c0\u5956\u7b49\u6d77\u5185\u5916\u5956\u9879\u3002<\/span><\/section>\n
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\u859b\u660a\uff0c<\/strong>\u76ee\u524d\u5728\u6fb3\u5927\u5229\u4e9a\u65b0\u5357\u5a01\u5c14\u58eb\u5927\u5b66\uff08UNSW Sydney\uff09\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662\u62c5\u4efb\u8bb2\u5e08\u804c\u4f4d\u3002\u4ed6\u4e8e2020\u5e74\u4ece\u897f\u6fb3\u5927\u5229\u4e9a\u5927\u5b66\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\u3002\u5728\u5b8c\u6210\u535a\u58eb\u5b66\u4f4d\u540e\uff0c\u66fe\u5728RMIT\u5927\u5b66\u8ba1\u7b97\u6280\u672f\u5b66\u9662\u548cUNSW Sydney\u5de5\u4f5c\u8fc7\u3002\u76ee\u524d\u662f\u6fb3\u5927\u5229\u4e9a\u56fd\u5bb6\u79d1\u7814\u59d4\u5458\u4f1a\uff08ARC\uff09\u5353\u8d8a\u51b3\u7b56\u4e0e\u793e\u4f1a\u81ea\u52a8\u5316\u4e2d\u5fc3\uff08ADM+S\uff09UNSW\u5206\u652f\u7684\u526f\u7814\u7a76\u5458\u3002\u7814\u7a76\u5174\u8da3\u5305\u62ec\u65f6\u7a7a\u6570\u636e\u5efa\u6a21\u3001\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u3001\u57fa\u4e8e\u8bed\u8a00\u751f\u6210\u7684\u9884\u6d4b\u4ee5\u53ca\u65f6\u95f4\u5e8f\u5217\u8868\u793a\u5b66\u4e60\u3002<\/span><\/section>\n
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\u91d1\u660e\uff0c<\/strong>\u6fb3\u5927\u5229\u4e9a\u8499\u7eb3\u58eb\u5927\u5b66\uff08Monash University\uff09\u535a\u58eb\u3002\u957f\u671f\u4ece\u4e8b\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u65f6\u5e8f\u6570\u636e\u6316\u6398\u76f8\u5173\u7814\u7a76\uff0c\u5728ICLR\u3001NeurIPS\u3001IJCAI\u3001TNNLS\u3001TKDE\u7b49\u591a\u4e2a\u6743\u5a01\u56fd\u9645\u671f\u520a\/\u4f1a\u8bae\u53d1\u8868\u9ad8\u6c34\u5e73\u8bba\u658720\u4f59\u7bc7\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u7528\u91cf\u8fd11000\u4f59\u6b21\uff0c\u5176\u79d1\u7814\u5de5\u4f5c\u66fe\u5165\u9009IJCAI\u6700\u5177\u5f71\u54cd\u529b\u8bba\u6587\u3002\u957f\u671f\u62c5\u4efbNeurIPS\u3001ICLR\u3001ICML\u3001TPAMI\u3001TNNLS\u3001TKDE\u7b49\u56fd\u9645\u77e5\u540d\u4f1a\u8bae\/\u671f\u520a\u7a0b\u5e8f\u59d4\u5458\u4f1a\u6210\u5458\u3002\u7814\u7a76\u5174\u8da3\u5305\u62ec\u65f6\u5e8f\/\u65f6\u7a7a\u6570\u636e\u6316\u6398\u548c\u52a8\u6001\u56fe\u795e\u7ecf\u7f51\u7edc\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/mingjin.dev\/<\/span><\/section>\n
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\u6587\u9752\u677e\uff0c<\/strong>\u7f8e\u56fd\u4f50\u6cbb\u4e9a\u7406\u5de5\u5b66\u9662\uff08Georgia Tech\uff09\u7535\u5b50\u4e0e\u8ba1\u7b97\u673a\u5de5\u7a0b\u535a\u58eb\uff0c\u4eba\u5de5\u667a\u80fd\u3001\u51b3\u7b56\u667a\u80fd\u548c\u4fe1\u53f7\u5904\u7406\u65b9\u5411\u4e13\u5bb6\uff0c\u5728\u677e\u9f20AI\u3001\u963f\u91cc\u3001Marvell\u7b49\u516c\u53f8\u8d8510\u5e74\u7684\u6280\u672f\u548c\u7ba1\u7406\u7ecf\u9a8c\uff0c\u8fd1100\u7bc7\u6587\u7ae0\u53d1\u8868\u5728\u4eba\u5de5\u667a\u80fd\u76f8\u5173\u7684\u9876\u4f1a\u4e0e\u9876\u520a\uff0c\u591a\u7bc7\u6587\u7ae0\u88abAI\u9876\u4f1a(NeurIPS, ICLR\u7b49)\u8bc4\u9009\u4e3aOral\/Spotlight\u8bba\u6587\uff0c\u4e24\u6b21\u5165\u9009IJCAI\u6700\u5177\u5f71\u54cd\u529b\u8bba\u6587\u5e76\u6392\u540d\u7b2c\u4e00\uff0c\u4e24\u6b21\u83b7\u5f97AAAI\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u90e8\u7f72\u5e94\u7528\u5956\uff0c\u83b7\u5f97ICASSP Grand Challenge\u51a0\u519b\u3002\u8fd1\u671f\u7814\u7a76\u5174\u8da3\u4e3a\u667a\u80fd\u65f6\u5e8f\u4e0eAI\u6559\u80b2, \u4e5f\u662fAI\u9876\u4f1a (AAAI, IJCAI, KDD, ICDM\u7b49) Workshop on AI for Time Series, Workshop on AI for Education\u7684\u4e3b\u8981\u7ec4\u7ec7\u8005\u4e4b\u4e00\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875: https:\/\/sites.google.com\/site\/qingsongwen8<\/span><\/section>\n

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