{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T17:14:25Z","timestamp":1773249265363,"version":"3.50.1"},"reference-count":87,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176069"],"award-info":[{"award-number":["62176069"]}],"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":["62225113"],"award-info":[{"award-number":["62225113"]}],"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":["62076124"],"award-info":[{"award-number":["62076124"]}],"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":["62172347"],"award-info":[{"award-number":["62172347"]}],"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":["61933013"],"award-info":[{"award-number":["61933013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Group of Guangdong Education Department","award":["2020KCXTD014"],"award-info":[{"award-number":["2020KCXTD014"]}]},{"name":"2019 Key Discipline project of Guangdong Province"},{"name":"State Key Laboratory for Novel Software Technology","award":["KFKT2021B29"],"award-info":[{"award-number":["KFKT2021B29"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,6,1]]},"DOI":"10.1109\/tpami.2022.3218605","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:38:33Z","timestamp":1667525913000},"page":"7412-7429","source":"Crossref","is-referenced-by-count":9,"title":["Human Collective Intelligence Inspired Multi-View Representation Learning \u2014 Enabling View Communication by Simulating Human Communication Mechanism"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0001-9082-4254","authenticated-orcid":false,"given":"Xiaodong","family":"Jia","sequence":"first","affiliation":[{"name":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Wuhan University, Wuhan, Hubei, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-0392-8475","authenticated-orcid":false,"given":"Xiao-Yuan","family":"Jing","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Wuhan University, Wuhan, Hubei, China"}]},{"given":"Qixing","family":"Sun","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Wuhan University, Wuhan, Hubei, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-5164-0070","authenticated-orcid":false,"given":"Songcan","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology \/ MIIT Key Laboratory of Pattern Analysis &amp; Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-0059-8458","authenticated-orcid":false,"given":"Bo","family":"Du","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Wuhan University, Wuhan, Hubei, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-5027-5286","authenticated-orcid":false,"given":"David","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong, China"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1083","article-title":"On deep multi-view representation learning","author":"wang","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3070203"},{"key":"ref12","first-page":"2222","article-title":"Multimodal learning with deep boltzmann machines","author":"srivastava","year":"2012","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471816"},{"key":"ref59","author":"pierce","year":"2009","journal-title":"The Evolution of Human Communication From Theory to Practice"},{"key":"ref14","first-page":"1247","article-title":"Deep canonical correlation analysis","author":"andrew","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref58","article-title":"Multi-task learning with deep neural networks: A survey","author":"crawshaw","year":"2020"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2521348"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/34.273716","article-title":"Decision combination in multiple classifier systems","volume":"16","author":"ho","year":"1994","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref11","first-page":"3345","article-title":"Semi-supervised multimodal deep learning for RGB-D object recognition","author":"cheng","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1166"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.218"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70136-3_61"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2435740"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2502248"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.11.008"},{"key":"ref51","first-page":"176","article-title":"Similarity-based classifier combination for decision making","author":"guo","year":"2005","journal-title":"Proc IEEE Int Conf Syst Man Cybern"},{"key":"ref50","first-page":"3345","article-title":"Effective multiple classifier systems for breast thermogram analysis","author":"krawczyk","year":"2012","journal-title":"Proc IEEE 21st Int Conf Pattern Recognit"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.proenv.2011.12.213"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106882"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.04.006"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106517"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2006.1688199"},{"key":"ref86","first-page":"2121","article-title":"Devise: A deep visual-semantic embedding model","author":"frome","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/46157.46158"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639047"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5120\/8134-1823"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3024840"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540112"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZY.2007.4295662"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2984061"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240631"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2655002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2798607"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2973634"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2872063"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1145\/3137114"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2933511"},{"key":"ref84","article-title":"Multimodal transfer deep learning for audio visual recognition","author":"moon","year":"2014"},{"key":"ref83","first-page":"689","article-title":"Multimodal deep learning","author":"ngiam","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3001433"},{"key":"ref35","first-page":"2576","article-title":"Urban water quality prediction based on multi-task multi-view learning","author":"liu","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-3029-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45880-9_1"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2039566"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.65.5.959"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.67.3.446"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/1088868311417243"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1037\/\/0022-3514.48.6.1467"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02962-2_82"},{"key":"ref77","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"kenton","year":"2019","journal-title":"Proc Annu Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1177\/1046496496274003"},{"key":"ref76","first-page":"1","article-title":"Recipe recognition with large multimodal food dataset","author":"wang","year":"2015","journal-title":"Proc IEEE Int Conf Multimedia Expo Workshops"},{"key":"ref2","article-title":"A survey on multi-view learning","author":"xu","year":"2013"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1362-6"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/0363452042000299894"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1002\/meet.2014.14505101093"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-33654-x"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw730"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2847335"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2019.103919"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/539"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2806438"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2740122"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-67441-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23783-6_9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1164-9"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401214"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8986"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2913511"},{"key":"ref63","first-page":"1","article-title":"Deep linear discriminant analysis","author":"dorfer","year":"2016","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11617"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1799-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2749576"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-19334-3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313492"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10823"},{"key":"ref29","first-page":"25","article-title":"A graphbased framework for multi-task multi-view learning","author":"he","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X05000129"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref61","author":"zhu","year":"2019","journal-title":"The Era of Big Integration&#x2013;Unifying Disciplines within Artificial Intelligence"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/34\/10120646\/09933914.pdf?arnumber=9933914","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T18:08:55Z","timestamp":1686593335000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/9933914\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,1]]},"references-count":87,"journal-issue":{"issue":"6"},"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/tpami.2022.3218605","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,1]]}}}