{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:11:30Z","timestamp":1775913090370,"version":"3.50.1"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong Research Grants Council","award":["16202722"],"award-info":[{"award-number":["16202722"]}]},{"name":"Hong Kong Research Grants Council","award":["T43-513\/23-N"],"award-info":[{"award-number":["T43-513\/23-N"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272334"],"award-info":[{"award-number":["62272334"]}],"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":["62072125"],"award-info":[{"award-number":["62072125"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JC STEM Lab of Data Science Foundations"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tkde.2024.3376539","type":"journal-article","created":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T20:32:43Z","timestamp":1711485163000},"page":"4499-4514","source":"Crossref","is-referenced-by-count":4,"title":["CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9529-7841","authenticated-orcid":false,"given":"Jing","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8227-8636","authenticated-orcid":false,"given":"Jiajie","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7121-1840","authenticated-orcid":false,"given":"Yuan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9822-9385","authenticated-orcid":false,"given":"Junhua","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4892-9041","authenticated-orcid":false,"given":"Pingfu","family":"Chao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6343-1455","authenticated-orcid":false,"given":"Xiaofang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3382118"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01080-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462916"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20606"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00777-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557255"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2013.6544830"},{"key":"ref8","first-page":"103","article-title":"RTMatch: Real-time location prediction based on trajectory pattern matching","volume-title":"Proc. Int. Conf. Database Syst. Adv. Appl.","author":"Dong"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186058"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/324"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3565536"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539360"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467102"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/567"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00999"},{"key":"ref17","first-page":"1311","article-title":"Automated curriculum learning for neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Graves"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.308"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17241"},{"key":"ref20","first-page":"2065","article-title":"MetaSLRCL: A self-adaptive learning rate and curriculum learning based framework for few-shot text classification","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Zhao"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"ref22","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2932984"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00098"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00123-9_16"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1463434.1463477"},{"key":"ref28","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00252"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00328"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127063"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/icde55515.2023.00224"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557370"},{"key":"ref34","article-title":"Contrastive pre-training of spatial-temporal trajectory embeddings","author":"Lin","year":"2022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00063"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref38","first-page":"5235","article-title":"Curriculum learning by transfer learning: Theory and experiments with deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Weinshall"},{"key":"ref39","first-page":"2535","article-title":"On the power of curriculum learning in training deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hacohen"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467132"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852100"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1572769.1572779"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2883938"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/302"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3560996"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43430-3_8"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939793"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref49","first-page":"30 380","article-title":"MobTCast: Leveraging auxiliary trajectory forecasting for human mobility prediction","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Xue"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01895"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00668"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.301"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17518"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00205"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591672"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614795"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43415-0_40"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_9"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01121-3"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3280447"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557308"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3462331"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00863"},{"key":"ref65","article-title":"End-to-end personalized next location recommendation via contrastive user preference modeling","author":"Luo","year":"2023"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00224"},{"key":"ref67","article-title":"Neural turing machines","author":"Graves","year":"2014"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref69","first-page":"6904","article-title":"A meta-learning perspective on cold-start recommendations for items","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vartak"},{"key":"ref70","article-title":"A simple neural attentive meta-learner","author":"Mishra"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330859"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403113"},{"key":"ref73","article-title":"Meta-learning with adaptive hyperparameters","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Baik"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17287"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17683"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20899"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10629652\/10480250.pdf?arnumber=10480250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T06:21:56Z","timestamp":1723184516000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10480250\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":76,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3376539","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}