{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T16:45:41Z","timestamp":1743266741737,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2018YFB1800804"],"award-info":[{"award-number":["2018YFB1800804"]}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["U1936217","61971267","61972223","61941117","61861136003"],"award-info":[{"award-number":["U1936217","61971267","61972223","61941117","61861136003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L182038"],"award-info":[{"award-number":["L182038"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017582","name":"Beijing National Research Center for Information Science and Technology","doi-asserted-by":"crossref","award":["20031887521"],"award-info":[{"award-number":["20031887521"]}],"id":[{"id":"10.13039\/501100017582","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Tsinghua University - Tencent Joint Laboratory for Internet Innovation Technology"},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021M691830"],"award-info":[{"award-number":["2021M691830"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tkde.2021.3061813","type":"journal-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T22:02:25Z","timestamp":1619474545000},"page":"5693-5707","source":"Crossref","is-referenced-by-count":6,"title":["DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks"],"prefix":"10.1109","volume":"34","author":[{"given":"Erzhuo","family":"Shao","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6382-0861","authenticated-orcid":false,"given":"Huandong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}]},{"given":"Jie","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}]},{"given":"Tong","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}]},{"given":"Hedong","family":"Yang","sequence":"additional","affiliation":[{"name":"Hitachi China Ltd., Shanghai, China"}]},{"given":"Lu","family":"Geng","sequence":"additional","affiliation":[{"name":"Hitachi China Ltd., Shanghai, China"}]},{"given":"Depeng","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5617-1659","authenticated-orcid":false,"given":"Yong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/TVCG.2020.3030410"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1145\/2815675.2815680"},{"key":"ref32","article-title":"Transforming population data for interdisciplinary usages: From census to grid","volume":"200","author":"deichmann","year":"2001","journal-title":"Center 1237 Int Earth Sci Inf Netw"},{"year":"2004","author":"balk","article-title":"The global distribution of population: Evaluating the gains in resolution refinement","key":"ref31"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1080\/13658816.2014.909045"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1145\/2433396.2433444"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1609\/aaai.v29i1.9462"},{"key":"ref35","first-page":"2605","article-title":"Where you like to go next: Successive point-of-interest recommendation","author":"cheng","year":"2013","journal-title":"Proc Int Joint Conf Artif Intell"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1145\/2971648.2971673"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1086\/694292"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1371\/journal.pone.0107042"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1145\/2481492.2481503"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/PerComW.2014.6815273"},{"year":"2014","author":"kingma","article-title":"Adam: A method for stochastic optimization","key":"ref15"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1609\/aaai.v33i01.33011020"},{"key":"ref17","first-page":"3146","article-title":"Lightgbm: A highly efficient gradient boosting decision tree","author":"ke","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"year":"2016","author":"goodfellow","article-title":"Deep Learning","key":"ref18"},{"key":"ref19","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1145\/2996913.2997016"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/ICDE.2016.7498348"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TBDATA.2017.2786405"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/ICDE.2017.83"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.24963\/ijcai.2018\/519"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1609\/aaai.v31i1.10735"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/ICDEW.2015.7129551"},{"key":"ref8","first-page":"1","article-title":"Urban mobility landscape: Real time monitoring of urban mobility patterns","author":"liu","year":"2009","journal-title":"Proc 11th Int Conf Comput Urban Planning Urban Manage"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TITS.2016.2639320"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/MITS.2018.2806634"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1145\/3124749.3124754"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1145\/2339530.2339561"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1145\/2632048.2636073"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1145\/2996913.2996934"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1145\/2750858.2804277"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1371\/journal.pone.0055882"},{"key":"ref23","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Proc Advances Neural Inf Process Syst"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1371\/journal.pone.0031743"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1016\/S0065-308X(05)62004-0"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9941016\/09416248.pdf?arnumber=9416248","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T17:12:40Z","timestamp":1667927560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9416248\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":38,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3061813","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"type":"print","value":"1041-4347"},{"type":"electronic","value":"1558-2191"},{"type":"electronic","value":"2326-3865"}],"subject":[],"published":{"date-parts":[[2022,12,1]]}}}