{"id":"https://openalex.org/W4298863937","doi":"https://doi.org/10.1109/taffc.2022.3197414","title":"Inconsistency-Based Multi-Task Cooperative Learning for Emotion Recognition","display_name":"Inconsistency-Based Multi-Task Cooperative Learning for Emotion Recognition","publication_year":2022,"publication_date":"2022-08-09","ids":{"openalex":"https://openalex.org/W4298863937","doi":"https://doi.org/10.1109/taffc.2022.3197414"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2022.3197414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3197414","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067206559","display_name":"Yifan Xu","orcid":"https://orcid.org/0000-0003-1591-0384"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Xu","raw_affiliation_strings":["Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1591-0384","affiliations":[{"raw_affiliation_string":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017224872","display_name":"Yuqi Cui","orcid":"https://orcid.org/0000-0003-4225-5450"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Cui","raw_affiliation_strings":["Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765608","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0002-1378-1315"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016850606","display_name":"Yingjie Yin","orcid":"https://orcid.org/0000-0003-1797-199X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingjie Yin","raw_affiliation_strings":["Ant Group, World Financial Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, World Financial Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086080255","display_name":"Jingting Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingting Ding","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102956012","display_name":"Liang Li","orcid":"https://orcid.org/0000-0001-9381-8888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Li","raw_affiliation_strings":["Ant Group, World Financial Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, World Financial Center, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008740867","display_name":"Dongrui Wu","orcid":"https://orcid.org/0000-0002-7153-9703"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongrui Wu","raw_affiliation_strings":["Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7153-9703","affiliations":[{"raw_affiliation_string":"Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7312,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84577855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"13","issue":"4","first_page":"2017","last_page":"2027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7620503902435303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480459213256836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6868104338645935},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6292325258255005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5649926662445068},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5597502589225769},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48185834288597107},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4814307391643524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37887418270111084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06639060378074646}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7620503902435303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480459213256836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6868104338645935},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6292325258255005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5649926662445068},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5597502589225769},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48185834288597107},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4814307391643524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37887418270111084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06639060378074646},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2022.3197414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3197414","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W44741455","https://openalex.org/W652662681","https://openalex.org/W1520861770","https://openalex.org/W1573810412","https://openalex.org/W1993615002","https://openalex.org/W2042700175","https://openalex.org/W2057563799","https://openalex.org/W2097732741","https://openalex.org/W2105198535","https://openalex.org/W2108598243","https://openalex.org/W2121044470","https://openalex.org/W2126716476","https://openalex.org/W2128521063","https://openalex.org/W2146334809","https://openalex.org/W2149628368","https://openalex.org/W2150556990","https://openalex.org/W2151055832","https://openalex.org/W2159017231","https://openalex.org/W2171332245","https://openalex.org/W2194775991","https://openalex.org/W2246178008","https://openalex.org/W2394717182","https://openalex.org/W2522896823","https://openalex.org/W2962755824","https://openalex.org/W2963199592","https://openalex.org/W2963595743","https://openalex.org/W2964288883","https://openalex.org/W2996156641","https://openalex.org/W4205954114","https://openalex.org/W4236533540","https://openalex.org/W6601925561","https://openalex.org/W6660909453","https://openalex.org/W6678230397","https://openalex.org/W6678510481"],"related_works":["https://openalex.org/W1185300216","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2803309984","https://openalex.org/W2963872552","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2237537322","https://openalex.org/W2951720331","https://openalex.org/W3042022268"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,40,128],"is":[2,41,57],"an":[3,48,73,100,108],"important":[4],"part":[5],"of":[6,32,47,93,102],"affective":[7],"computing.":[8],"Human":[9],"emotions":[10,68],"can":[11,77],"be":[12],"described":[13],"categorically":[14],"or":[15],"dimensionally.":[16],"Accurate":[17],"machine":[18],"learning":[19,112,118,152,160],"models":[20],"for":[21],"emotion":[22,39,127,131,135],"classification":[23,136],"and":[24,59,89,119,133,137,157],"estimation":[25,132],"usually":[26,51],"depend":[27],"on":[28],"a":[29],"large":[30],"amount":[31],"annotated":[33],"data.":[34],"However,":[35],"label":[36,91],"acquisition":[37],"in":[38,66,124],"costly:":[42],"obtaining":[43],"the":[44,63,70,79,82,86,90,97,148],"ground-truth":[45],"labels":[46,83],"emotional":[49],"sample":[50,103],"requires":[52],"multiple":[53],"annotators\u2019":[54],"assessments,":[55],"which":[56],"expensive":[58],"time-consuming.":[60],"To":[61],"reduce":[62],"labeling":[64],"effort":[65],"multi-task":[67,110,116,126,150,158],"recognition,":[69],"paper":[71],"proposes":[72],"inconsistency":[74,98],"measure":[75],"that":[76,114,147],"indicate":[78],"difference":[80],"between":[81],"estimated":[84],"from":[85],"feature":[87],"space":[88],"distribution":[92],"labeled":[94],"dataset.":[95],"Using":[96],"as":[99],"indicator":[101],"informativeness,":[104],"we":[105],"further":[106],"propose":[107],"inconsistency-based":[109],"cooperative":[111],"framework":[113,153],"integrates":[115],"active":[117,151,159],"self-training":[120],"semi-supervised":[121],"learning.":[122],"Experiments":[123],"two":[125],"scenarios,":[129],"multi-dimensional":[130],"simultaneous":[134],"estimation,":[138],"were":[139],"conducted":[140],"under":[141],"this":[142],"framework.":[143],"The":[144],"results":[145],"demonstrated":[146],"proposed":[149],"outperformed":[154],"several":[155],"single-task":[156],"approaches.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}