{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T15:15:14Z","timestamp":1787238914862,"version":"3.56.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2021ZD0111601"],"award-info":[{"award-number":["2021ZD0111601"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206060"],"award-info":[{"award-number":["62206060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Basic and Applied Basic Research Foundation","award":["SL2022A04J01626"],"award-info":[{"award-number":["SL2022A04J01626"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2024.3355637","type":"journal-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T13:33:01Z","timestamp":1705584781000},"page":"6676-6688","source":"Crossref","is-referenced-by-count":23,"title":["Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4794-9961","authenticated-orcid":false,"given":"Yuefang","family":"Gao","sequence":"first","affiliation":[{"name":"South China Agricultural University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9428-2680","authenticated-orcid":false,"given":"Yuhao","family":"Xie","sequence":"additional","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4947-4832","authenticated-orcid":false,"given":"Zeke Zexi","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Sydney, Darlington, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5848-5624","authenticated-orcid":false,"given":"Tianshui","family":"Chen","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2248-3755","authenticated-orcid":false,"given":"Liang","family":"Lin","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3178232"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2985365"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2987724"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2966858"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3096068"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2981446"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/icpr48806.2021.9413000"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868382"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-42051-1_16"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670949"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130508"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1055-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.11.113"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2012.178"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103458"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.3013938"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26284-5_20"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7208794"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2797479"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107111"},{"key":"ref22","article-title":"Pose-aware adversarial domain adaptation for personalized facial expression recognition","author":"Liang","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00050"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413822"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3131222"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475484"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956069"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_40"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46672-9_48"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3145235"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20474"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2563432"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3141604"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.12.037"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2973158"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref37","first-page":"1","article-title":"Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition","volume-title":"Proc. 3rd Brit. Mach. Vis. Conf.","author":"Conti","year":"2022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109486"},{"key":"ref39","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Long","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3136606"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3088859"},{"key":"ref42","article-title":"Gated graph sequence neural networks","author":"Li","year":"2015"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3025814"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3315753"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3345652"},{"key":"ref46","first-page":"18408","article-title":"FlexMatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang","year":"2021"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2016.7550085"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2017.60"},{"key":"ref49","first-page":"3186","article-title":"Unbalanced minibatch optimal transport; applications to domain adaptation","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Fatras","year":"2021"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01395"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00151"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01053"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.277"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545284"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref59","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot","year":"2010"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015401"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.2307\/2279372"},{"key":"ref62","first-page":"1","article-title":"Some distribution-free multiple comparison procedures","volume":"1","author":"Tamura","year":"1968","journal-title":"Mem. Shimane Univ."},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248548"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10404024.pdf?arnumber=10404024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,11]],"date-time":"2024-04-11T15:07:46Z","timestamp":1712848066000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10404024\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3355637","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}