{"id":"https://openalex.org/W7146985075","doi":"https://doi.org/10.1109/tkde.2026.3679087","title":"Task-Aware Information Decoupling for Multimodal Clustering","display_name":"Task-Aware Information Decoupling for Multimodal Clustering","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7146985075","doi":"https://doi.org/10.1109/tkde.2026.3679087"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2026.3679087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3679087","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5078223155","display_name":"Zixiao Jin","orcid":"https://orcid.org/0009-0009-6366-852X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiao Jin","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652153","display_name":"Xiao Zheng","orcid":"https://orcid.org/0000-0002-5843-9206"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zheng","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5843-9206","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"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":"Chang Tang","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6515-7696","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132682496","display_name":"Chuankun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuankun Li","raw_affiliation_strings":["School of Information and Communication Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-9427-8780","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132689121","display_name":"Yuanyuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Liu","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0465-3976","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132689981","display_name":"Xinwang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34806487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"6","first_page":"3961","last_page":"3974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.3880000114440918,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.3880000114440918,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.188400000333786,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.06199999898672104,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6158999800682068},{"id":"https://openalex.org/keywords/interaction-information","display_name":"Interaction information","score":0.6011000275611877},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5807999968528748},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4672999978065491},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41029998660087585},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4092999994754791},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.3847000002861023},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3587000072002411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3582000136375427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120999932289124},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6158999800682068},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5720999836921692},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4672999978065491},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4092999994754791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3853999972343445},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.3847000002861023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33160001039505005},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25110000371932983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2026.3679087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3679087","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1302184585","display_name":null,"funder_award_id":"2025AFA113","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G1536535479","display_name":null,"funder_award_id":"2023-131","funder_id":"https://openalex.org/F4320321884","funder_display_name":"Shanxi Scholarship Council of China"},{"id":"https://openalex.org/G284619639","display_name":null,"funder_award_id":"62522604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6330077812","display_name":null,"funder_award_id":"62476258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321884","display_name":"Shanxi Scholarship Council of China","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1965555842","https://openalex.org/W2014069437","https://openalex.org/W2155904486","https://openalex.org/W2373831850","https://openalex.org/W2598326928","https://openalex.org/W2752197020","https://openalex.org/W2794480084","https://openalex.org/W2809299793","https://openalex.org/W2905279478","https://openalex.org/W2906715444","https://openalex.org/W2921065608","https://openalex.org/W3005916310","https://openalex.org/W3015232403","https://openalex.org/W3022399687","https://openalex.org/W3023456235","https://openalex.org/W3049148844","https://openalex.org/W3083131734","https://openalex.org/W3093051361","https://openalex.org/W3132023044","https://openalex.org/W3133913358","https://openalex.org/W3173972271","https://openalex.org/W3175817584","https://openalex.org/W3185290480","https://openalex.org/W3191244312","https://openalex.org/W3201518044","https://openalex.org/W4282833192","https://openalex.org/W4289341676","https://openalex.org/W4290713716","https://openalex.org/W4311232381","https://openalex.org/W4312238451","https://openalex.org/W4312973985","https://openalex.org/W4315926876","https://openalex.org/W4386071520","https://openalex.org/W4390320384","https://openalex.org/W4390874473","https://openalex.org/W4401024877","https://openalex.org/W4401878948","https://openalex.org/W4402775842","https://openalex.org/W4402776594","https://openalex.org/W4404787562","https://openalex.org/W4406158198","https://openalex.org/W4407829778","https://openalex.org/W4408355987","https://openalex.org/W4409761042","https://openalex.org/W7133194810"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"clustering":[1,97],"(MMC)":[2],"overcomes":[3],"the":[4,16,44,47,57,76,84,130,144],"limitations":[5],"of":[6,18,49,59,116,133,147,245],"unimodal":[7],"methods":[8,231],"by":[9,100],"integrating":[10],"information":[11,20,51,70,81,101,109,139,161,196],"from":[12,71],"multiple":[13],"sources,":[14],"but":[15],"complexity":[17],"heterogeneous":[19],"coupling":[21],"hinders":[22],"effective":[23],"feature":[24,50,179],"extraction.":[25],"Critically,":[26],"existing":[27,229],"MMC":[28],"paradigms":[29],"primarily":[30],"focus":[31],"on":[32,166,232],"capturing":[33,187],"consensus":[34],"through":[35,181],"coarse-grained":[36],"cross-modal":[37,117,153,159],"alignment.":[38],"However,":[39],"such":[40],"task-agnostic":[41],"strategies":[42],"overlook":[43],"differences":[45],"in":[46,83,248],"utility":[48],"across":[52,191],"varying":[53],"task":[54],"environments.":[55],"In":[56],"absence":[58],"task-centric":[60],"guidance,":[61],"models":[62],"often":[63],"struggle":[64],"to":[65,80,112,124,175,214],"effectively":[66],"distinguish":[67],"task-relevant":[68,188,220],"critical":[69],"task-irrelevant":[72],"redundant":[73],"noise":[74],"during":[75],"disentanglement":[77,115,244],"process,":[78],"leading":[79],"confusion":[82],"representation":[85],"space.":[86],"To":[87,151],"address":[88],"this":[89],"challenge,":[90],"we":[91],"propose":[92],"a":[93,107,158,204,252],"deep":[94,114],"disentangled":[95],"multimodal":[96,178,233],"method":[98],"guided":[99],"theory,":[102],"named":[103],"DRLMMC,":[104],"which":[105,202],"employs":[106,203],"tripartite":[108],"optimization":[110,172],"mechanism":[111,132],"achieve":[113],"representations.":[118],"1)":[119],"We":[120],"design":[121],"modality-specific":[122,219],"encoders":[123],"construct":[125],"nonlinear":[126],"mapping":[127],"spaces,":[128],"transforming":[129],"reconstruction":[131],"autoencoders":[134],"into":[135],"an":[136,167,171],"information-theoretic":[137,168],"mutual":[138],"(MI)":[140],"constraint":[141],"problem,":[142],"preserving":[143],"unique":[145,195,221],"features":[146,190,247],"different":[148],"modalities;":[149,192],"2)":[150],"establish":[152],"semantic":[154],"associations,":[155],"it":[156,241],"constructs":[157],"shared":[160],"extraction":[162],"module,":[163],"and,":[164],"based":[165],"framework,":[169],"designs":[170],"objective":[173],"function":[174],"progressively":[176],"align":[177],"subspaces":[180],"MI":[182,206],"maximization":[183],"and":[184,217],"contrastive":[185],"learning,":[186],"invariant":[189],"3)":[193],"A":[194],"dynamic":[197],"perception":[198],"module":[199],"is":[200],"proposed,":[201],"conditional":[205],"projection":[207],"network":[208],"combined":[209],"with":[210],"learning":[211],"distribution":[212],"regularization":[213],"adaptively":[215],"extract":[216],"enhance":[218],"information.":[222],"Experimental":[223],"results":[224],"demonstrate":[225],"that":[226],"DRLMMC":[227],"outperforms":[228],"state-of-the-art":[230],"benchmark":[234],"datasets,":[235],"exhibiting":[236],"excellent":[237],"generalization":[238],"ability.":[239],"Notably,":[240],"achieves":[242],"precise":[243],"cross-omics":[246],"multi-omics":[249],"analysis,":[250],"offering":[251],"novel":[253],"methodological":[254],"approach":[255],"for":[256],"handling":[257],"complex":[258],"biomedical":[259],"data.":[260]},"counts_by_year":[],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2026-04-02T00:00:00"}