{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T16:45:13Z","timestamp":1793205913234,"version":"4.5.0"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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":["62176076"],"award-info":[{"award-number":["62176076"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515012922"],"award-info":[{"award-number":["2023A1515012922"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Foundational Research Funding","award":["JCYJ20220818102415032"],"award-info":[{"award-number":["JCYJ20220818102415032"]}]},{"name":"PCL","award":["PCL2023A09"],"award-info":[{"award-number":["PCL2023A09"]}]},{"name":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies","award":["2022B1212010005k"],"award-info":[{"award-number":["2022B1212010005k"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/taffc.2025.3566059","type":"journal-article","created":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T13:24:15Z","timestamp":1746105855000},"page":"3043-3054","source":"Crossref","is-referenced-by-count":6,"title":["Generalizing to Unseen Speakers: Multimodal Emotion Recognition in Conversations With Speaker Generalization"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3368-917X","authenticated-orcid":false,"given":"Geng","family":"Tu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4812-0493","authenticated-orcid":false,"given":"Ran","family":"Jing","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7234-1347","authenticated-orcid":false,"given":"Bin","family":"Liang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9865-2212","authenticated-orcid":false,"given":"Yue","family":"Yu","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3814-2728","authenticated-orcid":false,"given":"Min","family":"Yang","sequence":"additional","affiliation":[{"name":"SIAT, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2543-5604","authenticated-orcid":false,"given":"Bing","family":"Qin","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4009-5679","authenticated-orcid":false,"given":"Ruifeng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.861"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.732"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1280"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.390"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1050"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3049898"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.937"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3234553"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107598"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1046"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1209"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.824"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.440"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747397"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01036"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2023.3261279"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.967"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3233\/faia230537"},{"key":"ref22","first-page":"1","article-title":"Prototypical contrastive learning of unsupervised representations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.883"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/1754073910380974"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6309"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3005660"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.009"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3223517"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.547"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.09.057"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17625"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3232166"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.123"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.35"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2925966"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017216"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.214"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3141237"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2024.3360979"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.393"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.197"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21348"},{"key":"ref47","first-page":"1","article-title":"Pareto invariant risk minimization: Towards mitigating the optimization dilemma in out-of-distribution generalization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen"},{"key":"ref48","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"issue":"1","key":"ref49","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00700"},{"key":"ref53","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"Liu","year":"2019"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref57","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00158"},{"key":"ref59","first-page":"12635","article-title":"Implicit semantic data augmentation for deep networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.224"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413949"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3271019"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref64","article-title":"SSLCL: An efficient model-agnostic supervised contrastive learning framework for emotion recognition in conversations","author":"Shi","year":"2023"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165369\/11269911\/10981602.pdf?arnumber=10981602","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:58:26Z","timestamp":1764269906000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10981602\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":64,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2025.3566059","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}