{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T15:58:35Z","timestamp":1778255915151,"version":"3.51.4"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangzhou Municipal People's Livelihood Science and Technology Plan","award":["201903010040"],"award-info":[{"award-number":["201903010040"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773413"],"award-info":[{"award-number":["61773413"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Guangzhou","award":["202007030011"],"award-info":[{"award-number":["202007030011"]}]},{"name":"Science and Technology Planning Project of Guangdong Province of China","award":["2019B070702004"],"award-info":[{"award-number":["2019B070702004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/taffc.2021.3102245","type":"journal-article","created":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T20:30:50Z","timestamp":1628281850000},"page":"1125-1137","source":"Crossref","is-referenced-by-count":9,"title":["Typical Facial Expression Network Using a Facial Feature Decoupler and Spatial-Temporal Learning"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4308-9431","authenticated-orcid":false,"given":"Jianing","family":"Teng","sequence":"first","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0825-3400","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6406-1983","authenticated-orcid":false,"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Data Science Research Center, Duke Kunshan University, Kunshan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1752-8146","authenticated-orcid":false,"given":"Dah-Jye","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1110"},{"key":"ref35","first-page":"2579","article-title":"Visualizing data using t-SNE","author":"van der matten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5244\/C.22.99"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413620"},{"key":"ref15","first-page":"1988","article-title":"Deep learning face representation by joint identification-verification","author":"sun","year":"2014","journal-title":"in Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291311"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-017-1443-0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7163137"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2011.5771373"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_45"},{"key":"ref10","first-page":"1","article-title":"Facial expression recognition using encoded dynamic features","author":"yang","year":"2008","journal-title":"Proc IEEE Conf Comp Vis Patt Recogn"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.226"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2009.5349321"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.11.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"key":"ref16","article-title":"Deepid3: Face recognition with very deep neural networks","author":"sun","year":"2015","journal-title":"Comput Sci"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2880201"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16817-3_10"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref23","article-title":"The kinetics human action video dataset","author":"kay","year":"2017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.07.002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW.2019.8925212"},{"key":"ref22","article-title":"ConvNet architecture search for spatiotemporal feature learning","author":"tran","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1037\/h0030377"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2005.1521424"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00286"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2689999"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.341"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.52"},{"key":"ref4","first-page":"42.1","article-title":"Conditional mutual information based boosting for facial expression recognition","author":"shan","year":"2005","journal-title":"Proc of Brit Machine Vision Conf"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.02.013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2004.825931"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2003.10057"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10138707\/09508852.pdf?arnumber=9508852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:11:06Z","timestamp":1687198266000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9508852\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":35,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2021.3102245","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}