{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T07:27:48Z","timestamp":1780817268022,"version":"3.54.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273071"],"award-info":[{"award-number":["62273071"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072077"],"award-info":[{"award-number":["62072077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176043"],"award-info":[{"award-number":["62176043"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2022NSFSC0505"],"award-info":[{"award-number":["2022NSFSC0505"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2030249"],"award-info":[{"award-number":["2030249"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Kingland Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tbdata.2023.3316471","type":"journal-article","created":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T14:01:57Z","timestamp":1695045717000},"page":"1711-1725","source":"Crossref","is-referenced-by-count":6,"title":["Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6415-7558","authenticated-orcid":false,"given":"Xovee","family":"Xu","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7167-9055","authenticated-orcid":false,"given":"Zhiyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9621-5414","authenticated-orcid":false,"given":"Qiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Southwestern University of Finance and Economics, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8163-3146","authenticated-orcid":false,"given":"Ting","family":"Zhong","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5759-3562","authenticated-orcid":false,"given":"Bei","family":"Hui","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8038-8150","authenticated-orcid":false,"given":"Fan","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8839-6278","authenticated-orcid":false,"given":"Goce","family":"Trajcevski","sequence":"additional","affiliation":[{"name":"Iowa State University, Ames, IA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2736886"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.2972564"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.2991008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s20164391"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2629592"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3017104"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330646"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN48710.2020.00-51"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2982166"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/180"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/207"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414134"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67658-2_33"},{"key":"ref17","article-title":"Transfer learning or self-supervised learning? a tale of two pretraining paradigms","author":"Yang","year":"2020"},{"key":"ref18","first-page":"4182","article-title":"Data-efficient image recognition with contrastive predictive coding","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Henaff"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref20","first-page":"22243","article-title":"Big self-supervised models are strong semi-supervised learners","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref25","article-title":"Learning deep representations by mutual information estimation and maximization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hjelm"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67070-2_2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3333824"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3154163"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747900"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096169"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25671"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110737"},{"key":"ref36","first-page":"6527","article-title":"Neural ordinary differential equations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3090866"},{"key":"ref38","article-title":"Unsupervised representation learning by predicting image rotations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gidaris"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3172903"},{"key":"ref40","first-page":"297","article-title":"Noise-contrastive estimation: A new estimation principle for unnormalized statistical models","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Gutmann"},{"key":"ref41","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref43","article-title":"Spatio-temporal graph contrastive learning","author":"Liu","year":"2021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3151829"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3462331"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3317175"},{"key":"ref47","article-title":"Deep graph infomax","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velickovic"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3056695"},{"key":"ref49","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3133844"},{"issue":"177","key":"ref52","first-page":"1","article-title":"All models are wrong, but many are useful: Learning a variables importance by studying an entire class of prediction models simultaneously","volume":"20","author":"Fisher","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3151511"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3055207"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6687317\/10314842\/10254322-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10314842\/10254322.pdf?arnumber=10254322","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:02:53Z","timestamp":1769493773000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10254322\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":54,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2023.3316471","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}