{"id":"https://openalex.org/W7126050338","doi":"https://doi.org/10.1109/bibm66473.2025.11356601","title":"A Prototype-Based Rebalancing Framework to Address Modality Imbalance in Multimodal Emotion Recognition","display_name":"A Prototype-Based Rebalancing Framework to Address Modality Imbalance in Multimodal Emotion Recognition","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126050338","doi":"https://doi.org/10.1109/bibm66473.2025.11356601"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124288839","display_name":"Jiajie Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jiajie Yao","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124154280","display_name":"Jinwen Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Tian","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087691444","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0001-7159-9725"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["South China Normal University"],"affiliations":[{"raw_affiliation_string":"South China Normal University","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124288839"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8012864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3137","last_page":"3142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9860000014305115,"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":0.9860000014305115,"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":0.0015999999595806003,"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/T10057","display_name":"Face and Expression Recognition","score":0.001500000013038516,"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/modalities","display_name":"Modalities","score":0.6822999715805054},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6166999936103821},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.593999981880188},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5845999717712402},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.4625000059604645},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.35179999470710754},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.3479999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132999897003174},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6822999715805054},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6166999936103821},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889999866485596},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5845999717712402},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.4625000059604645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3695000112056732},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.30880001187324524},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C4441509","wikidata":"https://www.wikidata.org/wiki/Q6418787","display_name":"Multimodal therapy","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27300000190734863},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2122098299","https://openalex.org/W2943183446","https://openalex.org/W2963314614","https://openalex.org/W2964010806","https://openalex.org/W3034369844","https://openalex.org/W3035333188","https://openalex.org/W3093125198","https://openalex.org/W3131500599","https://openalex.org/W3140416091","https://openalex.org/W3188349400","https://openalex.org/W3198543070","https://openalex.org/W3206241967","https://openalex.org/W4205949815","https://openalex.org/W4206053994","https://openalex.org/W4283655854","https://openalex.org/W4312639100","https://openalex.org/W4318980730","https://openalex.org/W4323644278","https://openalex.org/W4385805042","https://openalex.org/W4387969127","https://openalex.org/W4387969701","https://openalex.org/W4400314496","https://openalex.org/W4401857369","https://openalex.org/W4402167744","https://openalex.org/W4402703093","https://openalex.org/W4405179782","https://openalex.org/W4406947780","https://openalex.org/W4407949557","https://openalex.org/W4409494577","https://openalex.org/W4411688601"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"emotion":[1,93],"recognition":[2],"is":[3],"gaining":[4],"prominence":[5],"as":[6],"the":[7,32,56,75],"fusion":[8],"of":[9,31,59,77],"heterogeneous":[10],"signals":[11],"enhances":[12],"both":[13],"robustness":[14],"and":[15,87],"accuracy.":[16],"Current":[17],"vision-based":[18],"approaches":[19],"rarely":[20],"incorporate":[21],"objective":[22],"neural":[23],"measurements":[24],"to":[25],"achieve":[26],"high-accuracy":[27],"identification,":[28],"partly":[29],"because":[30],"common":[33],"disparity":[34],"in":[35,84],"modality":[36],"convergence":[37],"within":[38],"multimodal":[39],"systems.":[40],"To":[41],"bridge":[42],"this":[43],"gap,":[44],"we":[45],"introduce":[46],"a":[47,63,89],"prototype-based":[48],"method":[49],"for":[50,92],"rebalancing":[51],"modalities":[52],"that":[53],"adaptively":[54],"modulates":[55],"learning":[57],"pace":[58],"each":[60],"one,":[61],"facilitating":[62],"more":[64],"synergistic":[65],"integration.":[66],"Evaluations":[67],"on":[68],"two":[69],"public":[70],"affective":[71],"computing":[72],"datasets":[73],"confirm":[74],"efficacy":[76],"our":[78],"approach;":[79],"it":[80],"attains":[81],"leading-edge":[82],"results":[83],"modality-constrained":[85],"settings":[86],"presents":[88],"viable":[90],"solution":[91],"recognition.":[94]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-30T00:00:00"}