{"id":23172,"date":"2021-01-08T13:32:53","date_gmt":"2021-01-08T05:32:53","guid":{"rendered":"https:\/\/swarma.org\/?p=23172"},"modified":"2021-01-08T13:32:53","modified_gmt":"2021-01-08T05:32:53","slug":"%e7%ac%ac%e4%ba%8c%e5%b1%8a%e6%97%b6%e7%a9%ba%e6%95%b0%e6%8d%ae%e5%ad%a6%e4%b9%a0%e7%a0%94%e8%ae%a8%e4%bc%9a11%e5%9c%ba%e5%89%8d%e6%b2%bf%e6%8a%a5%e5%91%8a-%e5%91%a8%e5%85%ad","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=23172","title":{"rendered":"\u7b2c\u4e8c\u5c4a\u201c\u65f6\u7a7a\u6570\u636e\u5b66\u4e60\u201d\u7814\u8ba8\u4f1a11\u573a\u524d\u6cbf\u62a5\u544a | \u5468\u516d\u76f4\u64ad"},"content":{"rendered":"
<\/p>\n

\u4f1a\u8bae\u4e3b\u9898<\/p>\n

\u672c\u6b21\u7814\u8ba8\u4f1a\u805a\u7126\u4e8e\u65f6\u7a7a\u6570\u636e\u7684\u5904\u7406\u3001\u8868\u793a\u3001\u5206\u6790\u3001\u6316\u6398\u7b49\u524d\u6cbf\u6280\u672f\uff0c\u5e76\u63a2\u7d22\u65f6\u7a7a\u6570\u636e\u5728\u667a\u6167\u4ea4\u901a\u3001\u667a\u6167\u57ce\u5e02\u3001\u5065\u5eb7\u533b\u7597\u9886\u57df\u7684\u5e94\u7528\u524d\u666f\u548c\u8d8b\u52bf\u3002<\/p>\n

\u4e3b\u529e\u5355\u4f4d<\/p>\n

\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u5927\u6570\u636e\u7814\u7a76\u9662
\u4ea4\u901a\u6570\u636e\u5206\u6790\u4e0e\u6316\u6398\u5317\u4eac\u5e02\u91cd\u70b9\u5b9e\u9a8c\u5ba4
\u6c11\u822a\u65c5\u5ba2\u670d\u52a1\u667a\u80fd\u5316\u5e94\u7528\u6280\u672f\u6c11\u822a\u5c40\u91cd\u70b9\u5b9e\u9a8c\u5ba4<\/p>\n

\u534f\u529e\u5355\u4f4d<\/p>\n

\u96c6\u667a\u4ff1\u4e50\u90e8<\/p>\n

\u4f1a\u8bae\u4e3b\u5e2d<\/p>\n

\u6797\u53cb\u82b3 \u5317\u4eac\u4ea4\u901a\u5927\u5b66
\u4e8e  \u5251 \u5317\u4eac\u4ea4\u901a\u5927\u5b66<\/p>\n

\u7279\u9080\u62a5\u544a<\/p>\n

\u4e1b  \u9ad8  \u65b0\u52a0\u5761\u5357\u6d0b\u7406\u5de5\u5927\u5b66
\u9a6c\u6653\u78ca  \u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66
\u90d1  \u51ef  \u7535\u5b50\u79d1\u6280\u5927\u5b66
\u5218\u5fd7\u8fdc  \u4e1c\u5357\u5927\u5b66
\u6c6a  \u7080  \u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66
\u674e  \u52c7  \u6e05\u534e\u5927\u5b66
\u738b\u9759\u8fdc  \u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66
\u90d1\u6e24\u9f99  \u534e\u4e2d\u79d1\u6280\u5927\u5b66
\u738b  \u6676  \u5317\u4eac\u4ea4\u901a\u5927\u5b66
\u8303\u6653\u4eae  \u53a6\u95e8\u5927\u5b66
\u4e07\u6000\u5b87  \u5317\u4eac\u4ea4\u901a\u5927\u5b66<\/p>\n

\u8bba\u575b\u65f6\u95f4<\/p>\n

2021\u5e741\u67089\u65e5<\/p>\n

\u4f1a\u8bae\u5730\u70b9<\/p>\n

\u817e\u8baf\u4f1a\u8bae+bilibili\u7f51\u7ad9\u76f4\u64ad<\/p>\n

\u626b\u7801\u9884\u7ea6\uff1a<\/p>\n


\u626b\u63cf\u4e8c\u7ef4\u7801\uff0c\u70b9\u51fb\u201c\u6211\u8981\u542c\u201d\u9884\u7ea6\u3002\u53ef\u83b7\u5f97\u817e\u8baf\u4f1a\u8bae ID \u4e0e\u5bc6\u7801\u3002\u6211\u4eec\u540e\u7eed\u4f1a\u901a\u8fc7\u5fae\u4fe1\u670d\u52a1\u53f7\uff0c\u63d0\u9192\u5927\u5bb6\u53c2\u4e0e\u7814\u8ba8\u4f1a\u3002<\/p>\n

\u8054\u7cfb\u4eba<\/p>\n

\u4e07\u6000\u5b87\uff08\u5317\u4eac\u4ea4\u901a\u5927\u5b66\uff09\uff0chywan@bjtu.edu.cn
\u738b  \u5a77\uff08\u96c6\u667a\u4ff1\u4e50\u90e8\uff09\uff0cwangting@swarma.org<\/p>\n

\u65e5\u7a0b\u5b89\u6392<\/p>\n

<\/div>\n

\u4f1a\u8bae\u4e3b\u5e2d<\/p>\n


\u6797\u53cb\u82b3\uff0c\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u6559\u6388\uff0c\u73b0\u4efb\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u8ba1\u7b97\u673a\u4e0e\u4fe1\u606f\u6280\u672f\u5b66\u9662\u526f\u9662\u957f\u3001\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u5927\u6570\u636e\u7814\u7a76\u9662\u9662\u957f\u3001\u4ea4\u901a\u6570\u636e\u5206\u6790\u4e0e\u6316\u6398\u5317\u4eac\u5e02\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u5e38\u52a1\u526f\u4e3b\u4efb\uff0c\u65b0\u4e00\u4ee3\u4fe1\u606f\u6280\u672f\u53ca\u5e94\u7528\u5317\u4eac\u5e02\u9ad8\u7cbe\u5c16\u5b66\u79d1\u8d1f\u8d23\u4eba\u3002\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a(CCF)\u9ad8\u7ea7\u4f1a\u5458\uff0cCCF\u5927\u6570\u636e\u4e13\u5bb6\u59d4\u5458\u4f1a\u59d4\u5458\uff0cCCF\u4eba\u5de5\u667a\u80fd\u4e0e\u6a21\u5f0f\u8bc6\u522b\u4e13\u4e1a\u59d4\u5458\u4f1a\u59d4\u5458\u3002\u76ee\u524d\u4e3b\u8981\u4ece\u4e8b\u884c\u4e1a\u5927\u6570\u636e\u4e0e\u667a\u80fd\u6280\u672f\u7814\u7a76\u3002\u4e3b\u6301\u5404\u7ea7\u79d1\u7814\u9879\u76ee\u5171\u8ba160\u4f59\u9879\u3002\u5728IEEE TITS\u3001JSTAT\u3001CIE\u3001Physica A\u7b49\u671f\u520a\u548cAAAI\u3001CVPR\u3001IJCAI\u3001ICDE\u7b49\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u658760\u4f59\u7bc7\uff0c\u8bd1\u7bb8\u4e09\u90e8\u3002\u66fe\u88ab\u4e2d\u56fd\u79d1\u534f\u8bc4\u9009\u4e3a\u79d1\u5b66\u4e2d\u56fd\u4eba2015\u5e74\u5ea6\u4eba\u7269\uff08\u4fe1\u606f\u6280\u672f\u9886\u57df\uff09\u3002<\/p>\n


\u4e8e\u5251\uff0c\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u6559\u6388\uff0c\u73b0\u4efb\u4ea4\u901a\u6570\u636e\u5206\u6790\u4e0e\u6316\u6398\u5317\u4eac\u5e02\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\uff0c\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\u5e38\u52a1\u526f\u9662\u957f\u3002\u6211\u56fd\u4eba\u5de5\u667a\u80fd\u9886\u57df\u77e5\u540d\u4e13\u5bb6\uff0c\u5165\u9009\u6559\u80b2\u90e8\u65b0\u4e16\u7eaa\u4f18\u79c0\u4eba\u624d\u652f\u6301\u8ba1\u5212\uff0c\u83b7\u970d\u82f1\u4e1c\u6559\u80b2\u57fa\u91d1\u4f1a\u9ad8\u7b49\u9662\u6821\u9752\u5e74\u6559\u5e08\u57fa\u91d1\u9879\u76ee\u3002\u8ba1\u7b97\u673a\u5b66\u62a5\u3001\u8f6f\u4ef6\u5b66\u62a5\u3001\u8ba1\u7b97\u673a\u7814\u7a76\u4e0e\u53d1\u5c55\u7f16\u59d4\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u4f1a\u58eb\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u7406\u4e8b\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u4eba\u5de5\u667a\u80fd\u4e0e\u6a21\u5f0f\u8bc6\u522b\u4e13\u4e1a\u59d4\u5458\u4f1a\u4e3b\u4efb\uff0c\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u7406\u4e8b\uff0c\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u673a\u5668\u5b66\u4e60\u4e13\u59d4\u4f1a\u526f\u4e3b\u4efb\u3002\u8457\u6709\u300a\u673a\u5668\u5b66\u4e60\uff1a\u4ece\u516c\u7406\u5230\u7b97\u6cd5\u300b,\u300a\u4eba\u5de5\u667a\u80fd\u5bfc\u8bba\u300b\u6267\u884c\u4e3b\u7f16\uff0c\u4f5c\u4e3a\u8d1f\u8d23\u4eba\u627f\u62c5\u5317\u4eac\u5e02\u79d1\u59d4\u65b0\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u65b9\u5411\u7684\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u9879\u76ee\u3002<\/p>\n

\u8bb2\u8005\u4fe1\u606f


<\/p>\n

\u8bb2\u8005\u7b80\u4ecb\uff1aCong Gao is currently a Professor with School of Computer Science and Engineering in Nanyang Technological University (NTU), and a co-director for Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU (SCALE). Before joining NTU, he was an Assistant professor in Aalborg University, Denmark. Before that, he worked as a researcher at Microsoft Research Asia. From 2004 to 2006, he worked as a postdoc in University of Edinburgh. He received his Ph.D. in Computer Science from National University of Singapore in 2004. His general research interests are in Data Science. In particularly, his research focuses on geospatial data management, spatio-temporal data mining, recommendation, and mining social media. He has published in prestigious journals (e.g., VLDB Journal, TODS, TKDE) and conferences (e.g., VLDB, SIGMOD, ICDE, KDD, WSDM, SIGIR, WWW). His citation in Google Scholar was over 10000 with H-index 55.  He served as a PC co-chair for E&A track of VLDB 2014. He serves as a PC vice-Chair for ICDE\u201918. He is an associate editor for ACM Transactions on Database Systems (TODS) and the vice Chair of ACM KDD Singapore chapter.<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1aGeoRich Data Management and Mining and its Applications<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u9a6c\u6653\u78ca\uff0c\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u6559\u6388\u3002\u4e3b\u8981\u7814\u7a76\u9886\u57df\u5305\u62ec\u516c\u5171\u4ea4\u901a\u7cfb\u7edf\u4f18\u5316\u3001\u4ea4\u901a\u5927\u6570\u636e\u5206\u6790\u53ca\u5927\u89c4\u6a21\u4ea4\u901a\u7f51\u7edc\u5efa\u6a21\u3002\u76ee\u524d\u5df2\u5728\u4ea4\u901a\u9886\u57df\u9876\u7ea7\u671f\u520a\u4ee5\u53ca\u56fd\u9645\u9876\u7ea7\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u6587100\u4f59\u7bc7\uff0c\u6388\u6743\u4e13\u522920\u4f59\u9879\uff0c\u83b7\u7701\u90e8\u7ea7\u7279\u7b49\u5956\u7b49\u5956\u98794\u9879\u3002\u62c5\u4efb\u6743\u5a01SCI\/SSCI\u671f\u520aIEEE Transactions on ITS\u3001IET ITS\u3001Transportation Research Part C\u7b49\u526f\u4e3b\u7f16\u53ca\u7f16\u59d4\u3002\u5165\u9009\u56fd\u5bb6\u4e07\u4eba\u8ba1\u5212\u9752\u5e74\u62d4\u5c16\u4eba\u624d\u3001\u4e2d\u56fd\u79d1\u534f\u9752\u5e74\u4eba\u624d\u6258\u4e3e\u5de5\u7a0b\uff0c\u5317\u4eac\u5e02\u4f18\u79c0\u9752\u5e74\u4eba\u624d\uff0c\u5317\u4eac\u5e02\u79d1\u6280\u65b0\u661f\uff0c\u62c5\u4efb\u7b2c\u5341\u4e09\u5c4a\u5168\u56fd\u9752\u8054\u59d4\u5458\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u57fa\u4e8e\u5927\u89c4\u6a21\u8f68\u8ff9\u6570\u636e\u7684\u8d27\u8f66\u81ea\u53d1\u7f16\u961f\u6a21\u5f0f\u6316\u6398<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u90d1\u51ef\uff0c\u7535\u5b50\u79d1\u6280\u5927\u5b66\u6559\u6388\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u6570\u636e\u5e93\u4e13\u59d4\u4f1a\u548c\u666e\u9002\u8ba1\u7b97\u4e13\u59d4\u4f1a\u59d4\u5458\uff0c\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u667a\u80fd\u670d\u52a1\u4e13\u59d4\u4f1a\u59d4\u5458\u3002\u4e3b\u8981\u7814\u7a76\u9886\u57df\u4e3a\u65f6\u7a7a\u6570\u636e\u7ba1\u7406\u3001\u4e0d\u786e\u5b9a\u6570\u636e\u5e93\u3001\u5185\u5b58\u6570\u636e\u5e93\u3001\u56fe\u6570\u636e\u7ba1\u7406\u7b49\u3002\u5728\u6570\u636e\u5e93\u3001\u6570\u636e\u6316\u6398\u7b49\u9886\u57df\u7684\u91cd\u8981\u4f1a\u8bae\u548c\u671f\u520a\u53d1\u8868\u8bba\u6587200\u4f59\u7bc7\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u75285000\u4f59\u6b21\u3002\u66fe\u83b7\u6fb3\u5927\u5229\u4e9a\u4f18\u79c0\u9752\u5e74\u57fa\u91d1\uff082013\uff09\u3001\u6570\u636e\u5e93\u56fd\u9645\u9876\u7ea7\u4f1a\u8baeICDE\u6700\u4f73\u8bba\u6587\u5956\uff082015\u548c2019\uff09\u3001APWeb-WAIM\u6700\u4f73\u8bba\u6587\u548c\u6700\u4f73\u5b66\u751f\u8bba\u6587\u5956\uff082017\uff09\u4ee5\u53caWISE\u6700\u4f73\u8bba\u6587\u5956\uff082017\uff09\u3002\u62c5\u4efb\u6570\u636e\u5e93\u56fd\u9645\u4f1a\u8bae\u7684\u7a0b\u5e8f\u4e3b\u5e2d\uff08APWeb 2016\uff09\u548c\u5927\u4f1a\u4e3b\u5e2d\uff08DASFAA 2017\uff09\uff0cSCI\u671f\u520aDistributed and Parallel Databases (DPD)\u548cData & Knowledge Engineering (DKE)\u7f16\u59d4\uff0cWWW Journal\u3001Geoinformatica\u3001Frontier of Computer Science\u5ba2\u5ea7\u7f16\u59d4\u3002\u591a\u5e74\u6765\u81f4\u529b\u4e8e\u4e3a\u653f\u5e9c\u3001\u4f01\u4e1a\u548c\u4e2a\u4eba\u5e94\u7528\u63d0\u4f9b\u667a\u80fd\u6570\u636e\u7ba1\u7406\u3001\u878d\u5408\u548c\u5206\u6790\u7684\u9ad8\u6548\u89e3\u51b3\u65b9\u6848\uff0c\u66fe\u4e3b\u6301\u548c\u53c2\u4e0e\u591a\u9879\u6fb3\u5927\u5229\u4e9a\u548c\u4e2d\u56fd\u7684\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9879\u76ee\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u57fa\u4e8e\u65f6\u7a7a\u9884\u6d4b\u548c\u641c\u7d22\u6280\u672f\u7684\u81ea\u52a8\u9a7e\u9a76\u8f85\u52a9\u53d8\u9053\u7cfb\u7edf<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u5218\u5fd7\u8fdc\uff0c\u4e1c\u5357\u5927\u5b66\u6559\u6388\uff0c\u73b0\u4efb\u4ea4\u901a\u5b66\u9662\u526f\u9662\u957f\uff0c\u590d\u6742\u4ea4\u901a\u7f51\u7edc\u7814\u7a76\u4e2d\u5fc3\u4e3b\u4efb\u3002\u5165\u9009\u56fd\u5bb6\u81ea\u79d1\u57fa\u91d1\u4f18\u9752\u3001\u6c5f\u82cf\u7701\u201c\u53cc\u521b\u4eba\u624d\u201d\u3001\u6c5f\u82cf\u7701\u201c\u9752\u5e74\u53cc\u521b\u82f1\u624d\u201d\u3001\u4e1c\u5357\u5927\u5b66\u201c\u9752\u5e74\u9996\u5e2d\u6559\u6388\u201d\uff0c\u83b7\u8bc4\u4e1c\u5357\u5927\u5b66\u201c\u4e94\u56db\u9752\u5e74\u5956\u7ae0\u201d\u3002\u4e3b\u8981\u7814\u7a76\u9886\u57df\u5305\u62ec\u4ea4\u901a\u7f51\u7edc\u89c4\u5212\u4e0e\u7ba1\u7406\u3001\u4ea4\u901a\u5927\u6570\u636e\u5206\u6790\u4e0e\u5efa\u6a21\u3001\u516c\u5171\u4ea4\u901a\u3001\u591a\u6a21\u5f0f\u7269\u6d41\u7f51\u7edc\u7b49\u3002\u53d1\u8868\u5b66\u672f\u8bba\u6587\u767e\u4f59\u7bc7\uff0c\u5176\u4e2d\u88abSCI\/SSCI\u671f\u520a\u68c0\u7d2270\u4f59\u7bc7\u3002\u62c5\u4efb\u4ea4\u901a\u7814\u7a76\u9886\u57df\u77e5\u540dSCI\u671f\u520aASCE Journal of Transportation Engineering\u4ee5\u53caIET Intelligent Transport Systems\u526f\u4e3b\u7f16\uff0c\u56fd\u9645\u671f\u520aTransportation Research Part E\uff08SCI\/SSCI\uff09\u3001Transportation Research Record\uff08SCI\uff09\u3001Journal of Transport and Land Use\uff08SSCI\uff09\u7f16\u59d4\u3002\u6307\u5bfc\u5b66\u751f\u83b7\u5f97\u591a\u9879\u56fd\u5185\u5916\u5927\u6570\u636e\u7b97\u6cd5\u6bd4\u8d5b\u5956\u9879\uff08\u5747\u4e3a\u524d\u4e09\u540d\uff09\uff0c\u5305\u62ec\u88ab\u8a89\u4e3a\u201c\u5927\u6570\u636e\u6bd4\u8d5b\u4e16\u754c\u676f\u201d\u7684KDD CUP\u51a0\u519b\uff082020\uff09\u548c\u7b2c\u4e8c\u540d\uff082019\uff09\u53ca\u4eba\u5de5\u667a\u80fd\u4e09\u5927\u56fd\u9645\u9876\u7ea7\u8d5b\u4e8b\u4e4b\u4e00\u7684IJCAI\u6bd4\u8d5b\u51a0\u519b\uff082019\uff09\uff0c\u8fd8\u5305\u62ec2016\u5e74\u963f\u91cc\u5df4\u5df4\u5929\u6c60\u5927\u8d5b\u7b97\u6cd5\u6311\u6218\u8d5b\u51a0\u519b\u30012016\u5e74\u9996\u5c4a\u6ef4\u6ef4\u7b97\u6cd5\u5927\u8d5b-\u4e9a\u519b\u30012017\u5e74\u7f8e\u56fdTRB\u5927\u4f1a\u6570\u636e\u5206\u6790\u6bd4\u8d5b\u4f18\u79c0\u8bba\u6587\u5956\u30012017\u5e74CCF\u5927\u6570\u636e\u4e0e\u8ba1\u7b97\u667a\u80fd\u5927\u8d5b\u4e9a\u519b\u30012017\u5e74Ucar Artificial Intelligence Cup\u51a0\u519b\uff08IEEE computer society\uff09\u30012018\u5e74\u963f\u91cc\u5df4\u5df4\u5929\u6c60\u5927\u8d5b\u51a0\u519b\u30012019\u5e74\u6570\u5b57\u4e2d\u56fd\u521b\u65b0\u5927\u8d5b\u5927\u6570\u636e\u6bd4\u8d5b\u4e00\u7b49\u5956\u7b49\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1aA Data-driven Traffic Flow Model Based on Gaussian Process<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u6c6a\u7080\uff0c\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\u526f\u6559\u6388\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u4f20\u611f\u5668\u7f51\u7edc\u4e13\u4e1a\u59d4\u5458\u4f1a\u59d4\u5458\uff0c\u73b0\u4efb\u4e2d\u56fd\u79d1\u5927\u8f6f\u4ef6\u5b66\u9662\u526f\u9662\u957f\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\u7269\u8054\u7f51\u3001\u8f66\u8054\u7f51\u4e0e\u667a\u80fd\u4ea4\u901a\u3001\u5206\u5e03\u5f0f\u8ba1\u7b97\u7b49\u3002\u8fd1\u5e74\u6765\u5728\u9ad8\u6c34\u5e73\u56fd\u9645\u4f1a\u8bae\u548c\u671f\u520a\u4e0a\u53d1\u8868\u8bba\u6587\u8fd1\u767e\u7bc7\uff0c\u5176\u4e2d\u8f66\u8054\u7f51\u5b9e\u65f6\u53ef\u9760\u901a\u4fe1\u7814\u7a76\u6210\u679c\u5728\u7f51\u7edc\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u9886\u57df\u7684\u56fd\u9645\u9876\u7ea7\u5b66\u672f\u4f1a\u8baeMOBICOM\u3001INFOCOM\u3001UBICOMP\u3001ICDCS\u3001IwQoS\u3001SECON\u548c\u8f66\u8054\u7f51\u65d7\u8230\u671f\u520aIEEE Transaction On Vehicular Technology\u4e0a\u53d1\u8868\u8bba\u658710\u4f59\u7bc7\uff0c\u667a\u80fd\u4ea4\u901a\u76f8\u5173\u7814\u7a76\u6210\u679c\u5728\u4eba\u5de5\u667a\u80fd\u548c\u6570\u636e\u6316\u6398\u9886\u57df\u7684\u56fd\u9645\u9876\u7ea7\u5b66\u672f\u671f\u520a\u6216\u4f1a\u8baeAAAI\u3001IJCAI\u3001TKDE\u3001ICDE\u3001ICDM\u4e0a\u53d1\u8868\u8bba\u6587\u8fd110\u7bc7\u3002\u56e0\u5728\u8f66\u8054\u7f51\u548c\u667a\u80fd\u4ea4\u901a\u9886\u57df\u7684\u6770\u51fa\u7814\u7a76\u88ab\u6388\u4e882017\u5e74\u5ea6IBM \u5168\u7403\u6770\u51fa\u5b66\u8005\u5956\uff08IBM Faculty Award\uff09\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u4ee5\u4eba\u4e3a\u4e2d\u5fc3\u7684\u65f6\u7a7a\u6570\u636e\u8ba1\u7b97-\u4ece\u7a00\u758f\u611f\u77e5\u5230\u4e0d\u786e\u5b9a\u6027<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u674e\u52c7\uff0c\u6e05\u534e\u5927\u5b66\u7535\u5b50\u7cfb\u957f\u8058\u526f\u6559\u6388\uff0c\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u9879\u76ee\u8d1f\u8d23\u4eba\u3002\u805a\u7126\u57ce\u5e02\u79d1\u5b66\u4e0e\u8ba4\u77e5\u8ba1\u7b97\u65b9\u5411\u957f\u671f\u4ece\u4e8b\u6570\u636e\u79d1\u5b66\u4e0e\u667a\u80fd\u65b9\u9762\u7684\u79d1\u7814\u5de5\u4f5c\uff0c\u5728KDD\u3001NeurIPS\u3001WWW\u3001UbiComp\u7b49\u56fd\u9645\u4f1a\u8bae\u4e0e\u671f\u520a\u53d1\u8868\u5b66\u672f\u8bba\u6587100\u4f59\u7bc7\uff08\u5176\u4e2dCCF A\u7c7b70\u7bc7\uff09\uff0c\u6587\u7ae0\u5f15\u752810000\u4f59\u6b21\uff0c6\u6b21\u83b7\u56fd\u9645\u4f1a\u8bae\u6700\u4f73\u8bba\u6587\/\u63d0\u540d\u5956\uff0c10\u7bc7\u8bba\u6587\u5165\u9009ESI\u9ad8\u88ab\u5f15\u7528\u8bba\u6587\u3002\u5148\u540e\u5165\u9009\u5168\u7403\u201c\u9ad8\u88ab\u5f15\u79d1\u5b66\u5bb6\u201d\u540d\u5355\u3001\u56fd\u5bb6\u201c\u4e07\u4eba\u8ba1\u5212\u201d\u9752\u5e74\u62d4\u5c16\u4eba\u624d\u8ba1\u5212\u3001\u4e2d\u56fd\u79d1\u534f\u9752\u5e74\u4eba\u624d”\u6258\u4e3e\u5de5\u7a0b”\u8ba1\u5212\uff0c\u83b7IEEE ComSoc\u4e9a\u592a\u533a\u6770\u51fa\u9752\u5e74\u5b66\u8005\u5956\u3001\u6559\u80b2\u90e8\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u3001\u7535\u5b50\u5b66\u4f1a\u81ea\u7136\u79d1\u5b66\u4e8c\u7b49\u5956\u3001\u5434\u6587\u4fca\u4eba\u5de5\u667a\u80fd\u4f18\u79c0\u9752\u5e74\u5956\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1aThe Emergence of Urban Growth Patterns Driven by Human Mobility Behavior<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u738b\u9759\u8fdc\uff0c\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66\u526f\u6559\u6388\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u5927\u6570\u636e\u4e13\u59d4\u4f1a\u59d4\u5458\uff0c\u4e2d\u56fd\u57ce\u5e02\u79d1\u5b66\u7814\u7a76\u4f1a\u57ce\u5e02\u5927\u6570\u636e\u4e13\u59d4\u4f1a\u59d4\u5458\u3002\u7814\u7a76\u5174\u8da3\u4e3a\u5927\u6570\u636e\u4e0e\u4eba\u5de5\u667a\u80fd\uff0c\u5177\u4f53\u5305\u62ec\u667a\u6167\u57ce\u5e02\u3001\u8ba1\u7b97\u91d1\u878d\u4ee5\u53ca\u667a\u6167\u5065\u5eb7\u7b49\u3002\u627f\u62c5\u548c\u53c2\u4e0e\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\/\u9762\u4e0a\/\u9752\u5e74\u9879\u76ee\u3001973\u9879\u76ee\u3001863\u201c\u667a\u6167\u57ce\u5e02\u201d\u9879\u76ee\u4ee5\u53ca\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u9879\u76ee\u7b49\u591a\u9879\uff0c\u6b27\u76df\u7b2c\u516d\u6846\u67b6\u9879\u76ee\u7b49\u56fd\u9645\u5408\u4f5c\u4e0e\u6a2a\u5411\u9879\u76ee\u5341\u4f59\u9879\u3002\u53d1\u8868\u5b66\u672f\u8bba\u658740\u4f59\u7bc7\uff0c\u7533\u8bf7\u56fd\u5185\u4e13\u52299\u9879\u3001\u7f8e\u56fd\u4e13\u52292\u9879\u3001AVS \u6807\u51c6\u63d0\u68481\u9879\u3002\u62c5\u4efbFrontiers of Computer Science \u671f\u520a Managing Editor\u3001ACM TIST\u3001IET Smart Cities\u671f\u520a\u7f16\u59d4\u3002\u7814\u7a76\u6210\u679c\u5df2\u7ecf\u5728\u4e2d\u56fd\u79fb\u52a8\u3001\u79d1\u5927\u8baf\u98de\u3001\u817e\u8baf\u5730\u56fe\u3001\u56fd\u5bb6\u536b\u8ba1\u59d4\u3001\u5317\u4eac\u5e02\u4ea4\u901a\u59d4\u7b49\u653f\u5e9c\u53ca\u4f01\u4e8b\u4e1a\u5355\u4f4d\u5b9e\u9645\u5e94\u7528\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u57fa\u4e8e\u65f6\u7a7a\u5927\u6570\u636e\u7684\u57ce\u5e02\u75ab\u60c5\u9632\u63a7<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u90d1\u6e24\u9f99\uff0c\u534e\u4e2d\u79d1\u6280\u5927\u5b66\u526f\u6559\u6388\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\u65f6\u7a7a\u5927\u6570\u636e\u7ba1\u7406\u4e0e\u5206\u6790\u3001\u9ad8\u7ef4\u6570\u636e\u7ba1\u7406\u548c\u57ce\u5e02\u8ba1\u7b97\u7b49\u3002\u76ee\u524d\u5df2\u5728\u56fd\u9645\u77e5\u540d\u5b66\u672f\u671f\u520a\u548c\u4f1a\u8bae\u4e0a\u53d1\u886840\u4f59\u7bc7\u5b66\u672f\u6210\u679c\uff0c\u5305\u62ecSIGMOD, VLDB, ICDE, WWW, TKDE, VLDBJ, TOIS, CIKM\u7b49\u3002\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u9879\u76ee1\u9879\uff0c\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u201c\u4e2d\u6b27\u4eba\u624d\u9879\u76ee\u201d1\u9879\uff0c\u6e56\u5317\u7701\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee1\u9879\u3002\u83b7\u5f97\u6570\u636e\u5e93\u4e0e\u6570\u636e\u6316\u6398\u9886\u57dfCCF A\u7c7b\u4f1a\u8baeVLDB 2020\u6700\u4f73\u8bba\u6587\u4e4b\u4e00\uff08One of the Best Papers\uff09\u30012020\u5e74\u5ea6ACM SIGSPATIAL\u4e2d\u56fd\u65b0\u661f\u5956\u3001\u6570\u636e\u5e93\u4e0e\u6570\u636e\u6316\u6398\u9886\u57dfCCF A\u7c7b\u4f1a\u8baeICDE 2019\u5e74\u6700\u4f73\u8bba\u6587\u4e4b\u4e00\uff08One of the Best Papers\uff09\u3001\u56fd\u9645\u7a7a\u95f4\u4fe1\u606f\u9886\u57df\u9876\u7ea7\u4f1a\u8baeACM SIGSPATIAL GIS-CUP\u6bd4\u8d5b2020\u5e74\u51a0\u519b\u548c2019\u5e74\u8363\u8a89\u5956\uff08Honorable Mention\uff09\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u9762\u5411\u4f9b\u9700\u611f\u77e5\u7684\u7f51\u7ea6\u8f66\u5de1\u822a\u8def\u5f84\u89c4\u5212<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u738b\u6676\uff0c\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u526f\u6559\u6388\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u5305\u62ec\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e0e\u6316\u6398\u3001\u5f02\u5e38\u68c0\u6d4b\u3001\u8111\u673a\u63a5\u53e3\u3001\u673a\u5668\u5b66\u4e60\u53ca\u5176\u5728\u533b\u7597\u3001\u4ea4\u901a\u3001\u91d1\u878d\u5927\u6570\u636e\u7684\u5e94\u7528\uff0c\u5728IJCAI\u3001ACM MM\u3001ECML PKDD\u3001CNSNS\u3001PRE\u3001Nonlinear Dynamics\u3001Physica A\u7b49\u91cd\u8981\u56fd\u9645\u5b66\u672f\u520a\u7269\u548c\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u658720\u4f59\u7bc7\uff0c\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u57fa\u91d1\u3001\u4e2d\u56fd\u535a\u58eb\u540e\u57fa\u91d1\u4ee5\u53ca\u4f01\u4e1a\u5e94\u7528\u7814\u7a76\u9879\u76ee\u7b49\u591a\u9879\u3002\u7533\u8bf7\u53d1\u660e\u4e13\u522913\u9879\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u4ece\u7a7a-\u65f6-\u9891\u7ef4\u5ea6\u7406\u89e3\u751f\u7406\u4fe1\u53f7\u6570\u636e<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u8303\u6653\u4eae\uff0c\u53a6\u95e8\u5927\u5b66\u4fe1\u606f\u5b66\u9662\uff08\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\uff09\u9ad8\u7ea7\u5de5\u7a0b\u5e08\u3002\u6570\u5b57\u798f\u5efa\u57ce\u5e02\u4ea4\u901a\u5927\u6570\u636e\u7814\u7a76\u6240\u526f\u6240\u957f\uff0c\u53a6\u95e8\u5e02\u9ad8\u5c42\u6b21\u7559\u5b66\u4eba\u624d\u3002IEEE\u9ad8\u7ea7\u4f1a\u5458\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1aCCF\u9ad8\u7ea7\u4f1a\u5458\uff0cCCF\u670d\u52a1\u8ba1\u7b97\/\u666e\u9002\u8ba1\u7b97\u4e13\u59d4\u4f1a\u59d4\u5458\uff0cACM SIGSPATIAL\u4e2d\u56fd\u59d4\u5458\u3002\u7814\u7a76\u5174\u8da3\u5305\u62ec\u57ce\u5e02\u611f\u77e5\u4e0e\u667a\u80fd\u8ba1\u7b97\u3001\u6570\u636e\u6cbb\u7406\u4e0e\u9690\u79c1\u4fdd\u62a4\u3002\u4e3b\u63012\u9879\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u548c10\u4f59\u9879\u7701\u90e8\u7ea7\u6216\u4f01\u4e1a\u59d4\u6258\u9879\u76ee\u3002\u5728ISPRS JPRS\u3001IEEE Trans. on TSC\u3001ITS\u7b49\u671f\u520a\u548cAAAI\u3001UbiComp\u7b49\u5b66\u672f\u4f1a\u8bae\u53d1\u8868\u8bba\u658750\u4f59\u7bc7\uff0c\u7533\u8bf7\/\u6388\u6743\u53d1\u660e\u4e13\u522915\/2\u9879\uff0c\u51fa\u7248\u8bd1\u84571\u90e8\uff0c\u83b72018\u5e74\u798f\u5efa\u7701\u79d1\u6280\u8fdb\u6b65\u4e00\u7b49\u5956\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u5728\u65f6\u7a7a\u6570\u636e\u6316\u6398\u4e2d\u7684\u5e94\u7528<\/p>\n

<\/div>\n


\u8bb2\u8005\u7b80\u4ecb\uff1a\u4e07\u6000\u5b87\uff0c\u5317\u4eac\u4ea4\u901a\u5927\u5b66\u526f\u6559\u6388\u3002\u73b0\u4efb\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u526f\u4e3b\u4efb\u3002\u4e2d\u56fd\u4e2d\u6587\u4fe1\u606f\u5b66\u4f1a\u793e\u4f1a\u5a92\u4f53\u5904\u7406\uff08SMP\uff09\u4e13\u59d4\u4f1a\u5e38\u52a1\u59d4\u5458\u3001\u79d8\u4e66\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\uff08CCF\uff09\u4f1a\u5458\uff0c\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\uff08CAAI\uff09\u4f1a\u5458\uff0cIEEE member\u3002\u671f\u520a\u300aData Intelligence\u300b\u7f16\u59d4\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u6570\u636e\u6316\u6398\u4e0e\u4fe1\u606f\u62bd\u53d6\uff0c\u5177\u4f53\u7814\u7a76\u5174\u8da3\u5305\u62ec\u65f6\u7a7a\u6570\u636e\u6316\u6398\u3001\u793e\u4ea4\u7f51\u7edc\u6316\u6398\u3001\u6587\u672c\u4fe1\u606f\u62bd\u53d6\u3001\u77e5\u8bc6\u56fe\u8c31\u5e94\u7528\u7b49\u3002\u5df2\u5728AAAI\u3001ICDE\u3001ECML PKDD\u3001DASFAA\u7b49\u5b66\u672f\u4f1a\u8bae\u548cIEEE Trans. on ITS\u3001KBS\u3001JAMIA\u3001JCST\u7b49\u5b66\u672f\u671f\u520a\u4e0a\u53d1\u8868\u5b66\u672f\u8bba\u658740\u4f59\u7bc7\u3002\u66fe\u83b7\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u4eba\u5de5\u667a\u80fd\u79d1\u6280\u8fdb\u6b65\u5956\u4e00\u7b49\u5956\u3002\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u57fa\u91d1\u9879\u76ee\u3001\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u5b50\u8bfe\u9898\u3001\u5176\u4ed6\u7701\u90e8\u7ea7\u9879\u76ee\u4ee5\u53ca\u4f01\u4e1a\u5e94\u7528\u7814\u7a76\u9879\u76ee\u7b4910\u4f59\u9879\u3002\u7533\u8bf7\u53d1\u660e\u4e13\u522920\u9879\uff0c\u5df2\u83b7\u6388\u67436\u9879\u3002<\/p>\n

\u62a5\u544a\u9898\u76ee\uff1a\u65f6\u7a7a\u6570\u636e\u7684\u8868\u793a\u5b66\u4e60\u65b9\u6cd5<\/p>\n

\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u5373\u53ef\u62a5\u540d\uff5e <\/div>\n","protected":false},"excerpt":{"rendered":"

\u4f1a\u8bae\u4e3b\u9898 \u672c\u6b21\u7814\u8ba8\u4f1a\u805a\u7126\u4e8e\u65f6\u7a7a\u6570\u636e\u7684\u5904\u7406\u3001\u8868\u793a\u3001\u5206\u6790\u3001\u6316\u6398\u7b49\u524d\u6cbf\u6280\u672f\uff0c\u5e76\u63a2\u7d22\u65f6\u7a7a\u6570\u636e\u5728\u667a\u6167\u4ea4\u901a\u3001\u667a\u6167\u57ce\u5e02\u3001\u5065\u5eb7\u533b\u7597\u9886\u57df\u7684\u5e94\u7528\u524d\u666f\u548c\u8d8b\u52bf\u3002 \u4e3b\u529e\u5355\u4f4d \u5317\u4eac\u4ea4\u901a\u5927\u5b66\u5927\u6570\u636e\u7814\u7a76\u9662\u4ea4\u901a\u6570\u636e\u5206\u6790\u4e0e\u6316\u6398\u5317\u4eac\u5e02\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u6c11\u822a\u65c5\u5ba2\u670d\u52a1\u667a\u80fd\u5316\u5e94\u7528\u6280\u672f\u6c11\u822a\u5c40\u91cd\u70b9\u5b9e\u9a8c\u5ba4 \u534f\u529e\u5355\u4f4d \u96c6\u667a\u4ff1\u4e50\u90e8 \u4f1a\u8bae\u4e3b\u5e2d \u6797\u53cb\u82b3 \u5317\u4eac\u4ea4\u901a\u5927…<\/p>\n","protected":false},"author":1,"featured_media":23129,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/23172"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23172"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/23172\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/23129"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23172"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=23172"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=23172"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=23172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}