{"id":"https://openalex.org/W4416250503","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228349","title":"Leveraging Label Potential for Enhanced Multimodal Emotion Recognition","display_name":"Leveraging Label Potential for Enhanced Multimodal Emotion Recognition","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250503","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228349"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5101507326","display_name":"Xia Shao","orcid":"https://orcid.org/0000-0002-8618-0473"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuechun Shao","raw_affiliation_strings":["Xinjiang University,Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, School of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091800151","display_name":"Yingfeng Yu","orcid":"https://orcid.org/0000-0002-2607-0416"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfeng Yu","raw_affiliation_strings":["Xinjiang University,Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, School of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101956412","display_name":"Liejun Wang","orcid":"https://orcid.org/0000-0002-3210-0917"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liejun Wang","raw_affiliation_strings":["Xinjiang University,Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, School of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Xinjiang University,Xinjiang Multimodal Intelligent Processing and Information Security Engineering Technology Research Center, School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101507326"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35777154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9358999729156494,"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":0.9358999729156494,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.03269999846816063,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/emotion-recognition","display_name":"Emotion recognition","score":0.6089000105857849},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5820000171661377},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.510200023651123},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5073999762535095},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.4722999930381775},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4584999978542328},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4456999897956848},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4442000091075897},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307999730110168},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510699987411499},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.510200023651123},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4456999897956848},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4442000091075897},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42250001430511475},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3517000079154968},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C195818886","wikidata":"https://www.wikidata.org/wiki/Q5421724","display_name":"Expressive power","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2146334809","https://openalex.org/W2554616628","https://openalex.org/W2625297138","https://openalex.org/W2936162287","https://openalex.org/W2945662934","https://openalex.org/W2963686995","https://openalex.org/W2998563994","https://openalex.org/W3209984917","https://openalex.org/W4221154966","https://openalex.org/W4221162872","https://openalex.org/W4224917001","https://openalex.org/W4328050872","https://openalex.org/W4367281761","https://openalex.org/W4372266717","https://openalex.org/W4372267501","https://openalex.org/W4372347367","https://openalex.org/W4375869114","https://openalex.org/W4379356527","https://openalex.org/W4385570831","https://openalex.org/W4385807537","https://openalex.org/W4385822492","https://openalex.org/W4385822510","https://openalex.org/W4385822805","https://openalex.org/W4385823394","https://openalex.org/W4389523984","https://openalex.org/W4392903074","https://openalex.org/W4392904146","https://openalex.org/W4402111545","https://openalex.org/W4404371462","https://openalex.org/W4408351850"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0,65],"emotion":[1,33,46,82,155],"recognition":[2],"(MER)":[3],"seeks":[4],"to":[5,9,69,76,85,121,136],"integrate":[6],"various":[7],"modalities":[8],"predict":[10],"emotional":[11],"states":[12],"accurately.":[13],"However,":[14],"most":[15],"current":[16],"research":[17],"focuses":[18],"solely":[19],"on":[20,160],"the":[21,29,40,79,87,104,123,142,149,161,168],"fusion":[22],"of":[23,42,81,92,106,125,170],"audio":[24,112],"and":[25,90,113,154,163],"text":[26,114],"features,":[27],"overlooking":[28],"valuable":[30],"information":[31,51,84],"in":[32],"labels.":[34],"This":[35,73],"oversight":[36],"could":[37,53],"potentially":[38],"hinder":[39],"performance":[41],"existing":[43],"methods,":[44],"as":[45],"labels":[47],"harbor":[48],"rich,":[49],"insightful":[50],"that":[52,102],"significantly":[54],"aid":[55],"MER.":[56,93],"We":[57],"introduce":[58],"a":[59,97,131],"novel":[60],"model":[61,74],"called":[62],"Label":[63,98],"Signal-Guided":[64],"Emotion":[66],"Recognition":[67],"(LSGMER)":[68],"overcome":[70],"this":[71],"limitation.":[72],"aims":[75],"fully":[77],"harness":[78],"power":[80],"label":[83,117],"boost":[86],"classification":[88,138],"accuracy":[89,139],"stability":[91],"Specifically,":[94],"LSGMER":[95,173],"employs":[96],"Signal":[99],"Enhancement":[100],"module":[101],"optimizes":[103],"representation":[105],"modality":[107],"features":[108,115,153],"by":[109,140],"interacting":[110],"with":[111],"through":[116],"embeddings,":[118],"enabling":[119],"it":[120],"capture":[122],"nuances":[124],"emotions":[126],"precisely.":[127],"Furthermore,":[128],"we":[129],"propose":[130],"Joint":[132],"Objective":[133],"Optimization(JOO)":[134],"approach":[135],"enhance":[137],"introducing":[141],"Attribution-Prediction":[143],"Consistency":[144],"Constraint":[145],"(APC),":[146],"which":[147],"strengthens":[148],"alignment":[150],"between":[151],"fused":[152],"categories.":[156],"Extensive":[157],"experiments":[158],"conducted":[159],"IEMOCAP":[162],"MELD":[164],"datasets":[165],"have":[166],"demonstrated":[167],"effectiveness":[169],"our":[171],"proposed":[172],"model.":[174]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}