{"id":"https://openalex.org/W7128924412","doi":"https://doi.org/10.1145/3788731.3788748","title":"IDBF: Information-theoretic Disentanglement with Bridge Fusion for Multimodal Sentiment Analysis","display_name":"IDBF: Information-theoretic Disentanglement with Bridge Fusion for Multimodal Sentiment Analysis","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W7128924412","doi":"https://doi.org/10.1145/3788731.3788748"},"language":null,"primary_location":{"id":"doi:10.1145/3788731.3788748","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788731.3788748","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Embodied Intelligence and Large Models","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3788731.3788748","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126033552","display_name":"Wang Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Qi","raw_affiliation_strings":["Kunming University of Science and Technology Oxbridge College, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0009-0002-4779-0719","affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology Oxbridge College, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5126033552"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76411679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8210999965667725,"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":0.8210999965667725,"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":0.14239999651908875,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0027000000700354576,"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/bridge","display_name":"Bridge (graph theory)","score":0.6656000018119812},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5537999868392944},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5347999930381775},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5218999981880188},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5181000232696533},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4765999913215637},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4002000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108999729156494},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6656000018119812},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5537999868392944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5522000193595886},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5347999930381775},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5218999981880188},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3917999863624573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.33640000224113464},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.32120001316070557},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3788731.3788748","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788731.3788748","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Embodied Intelligence and Large Models","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3788731.3788748","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788731.3788748","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Embodied Intelligence and Large Models","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6184467673301697,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2883409523","https://openalex.org/W2950978907","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964346351","https://openalex.org/W3034266838","https://openalex.org/W3034849760","https://openalex.org/W3093051361","https://openalex.org/W3128412859","https://openalex.org/W3214432797","https://openalex.org/W4304091726","https://openalex.org/W4304092664","https://openalex.org/W4328007250","https://openalex.org/W4385570955","https://openalex.org/W4389523777","https://openalex.org/W4392903462","https://openalex.org/W4392908941"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Sentiment":[1],"Analysis":[2],"(MSA)":[3],"is":[4,63],"a":[5,77,88],"pivotal":[6],"research":[7],"task":[8],"that":[9,157],"seeks":[10],"to":[11,25,65,101],"comprehend":[12],"individuals'":[13],"sentiment":[14,49,119],"states":[15],"and":[16,56,59,109,153],"analyze":[17],"multimodal":[18],"information":[19,55,99],"present":[20],"in":[21,35,38],"online":[22],"video":[23],"data,":[24],"predict":[26],"the":[27,60],"intensity":[28],"of":[29,141],"expressed":[30],"sentiment.":[31],"Despite":[32],"some":[33],"progress":[34],"this":[36],"field":[37],"recent":[39],"years,":[40],"current":[41],"methods":[42],"face":[43],"two":[44],"fundamental":[45],"challenges:":[46],"The":[47],"extracted":[48],"features":[50,105],"are":[51],"confused":[52],"with":[53,82,130],"sentiment-relevant":[54,108],"sentiment-irrelevant":[57,110],"noise,":[58],"fusion":[61,129],"mechanism":[62],"insufficient":[64],"capture":[66],"fine-grained":[67],"pairwise":[68],"modal":[69],"interactions.":[70],"To":[71],"address":[72],"these":[73],"limitations,":[74],"we":[75],"propose":[76],"novel":[78],"framework,":[79],"Information-theoretic":[80],"Disentanglement":[81,95],"Bridge":[83,124],"Fusion":[84,125],"(IDBF),":[85],"which":[86],"implements":[87],"principled":[89],"two-stage":[90],"approach.":[91],"First,":[92],"our":[93,122,158],"Information-Theoretic":[94],"module":[96],"leverages":[97],"mutual":[98],"minimization":[100],"separate":[102],"each":[103,135],"modality's":[104],"into":[106],"distinct":[107],"subspaces,":[111],"effectively":[112],"filtering":[113],"out":[114],"noise":[115],"while":[116],"preserving":[117],"crucial":[118],"information.":[120],"Second,":[121],"Triplet":[123],"network":[126],"replaces":[127],"coarse-grained":[128],"dedicated":[131],"bridge":[132],"modules":[133],"for":[134],"modality":[136],"pair,":[137],"enabling":[138],"explicit":[139],"modeling":[140],"fine-grained,":[142],"bidirectional":[143],"interactions":[144],"through":[145],"cross-attention":[146],"mechanisms.":[147],"Extensive":[148],"experiments":[149],"on":[150],"CMU-MOSI,":[151],"CMU-MOSEI,":[152],"CH-SIMS":[154],"datasets":[155],"demonstrate":[156],"approach":[159],"achieves":[160],"state-of-the-art":[161],"performance":[162],"across":[163],"multiple":[164],"metrics.":[165]},"counts_by_year":[],"updated_date":"2026-02-15T06:02:07.359773","created_date":"2026-02-15T00:00:00"}