{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T18:52:22Z","timestamp":1762973542305,"version":"3.45.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2021ZD0111902"],"award-info":[{"award-number":["2021ZD0111902"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472014","U21B2038"],"award-info":[{"award-number":["62472014","U21B2038"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Natural Science Foundation","award":["4222021"],"award-info":[{"award-number":["4222021"]}]},{"DOI":"10.13039\/100017366","name":"R&D Program of Beijing Municipal Education Commission","doi-asserted-by":"publisher","award":["KZ202210005008"],"award-info":[{"award-number":["KZ202210005008"]}],"id":[{"id":"10.13039\/100017366","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/tits.2025.3602593","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T17:48:39Z","timestamp":1757526519000},"page":"19949-19960","source":"Crossref","is-referenced-by-count":0,"title":["HGSCO: Heterogeneous Graph Structure Contrast Optimization for Trajectory Prediction"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0401-2828","authenticated-orcid":false,"given":"Xuanqi","family":"Lin","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6650-6790","authenticated-orcid":false,"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0054-2523","authenticated-orcid":false,"given":"Shun","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3774-5789","authenticated-orcid":false,"given":"Xinglin","family":"Piao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0440-438X","authenticated-orcid":false,"given":"Yongli","family":"Hu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3121-1823","authenticated-orcid":false,"given":"Baocai","family":"Yin","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2280766"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_15"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00135"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69532-3_25"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-17346-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00074"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3307179"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3229733"},{"key":"ref9","article-title":"Stochastic trajectory prediction with social graph network","author":"Zhang","year":"2019","journal-title":"arXiv:1907.10233"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_30"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557345"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3146300"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/mice.13301"},{"key":"ref14","first-page":"981","article-title":"Learning switching linear models of human motion","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"13","author":"Pavlovi\u0107"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2102756"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1167"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2966117"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00142"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109772"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3352180"},{"key":"ref24","article-title":"ReCoG: A deep learning framework with heterogeneous graph for interaction-aware trajectory prediction","author":"Mo","year":"2020","journal-title":"arXiv:2012.05032"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2024.103748"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016120"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3248090"},{"key":"ref30","article-title":"Representation learning with contrastive predictive coding","author":"van den Oord","year":"2018","journal-title":"arXiv:1807.03748"},{"key":"ref31","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. NIPS","author":"Khosla"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01529"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_9"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01484"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00637"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3019488"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3279929"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16600"},{"key":"ref40","first-page":"895","article-title":"TNT: Target-driven trajectory prediction","volume-title":"Proc. Conf. Robot Learn.","author":"Zhao"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500658"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00868"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01461"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01445"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11241045\/11157915.pdf?arnumber=11157915","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T18:44:19Z","timestamp":1762973059000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11157915\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":44,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3602593","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}