{"id":"https://openalex.org/W4408355987","doi":"https://doi.org/10.1109/icassp49660.2025.10890288","title":"Trusted Mamba Contrastive Network for Multi-View Clustering","display_name":"Trusted Mamba Contrastive Network for Multi-View Clustering","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355987","doi":"https://doi.org/10.1109/icassp49660.2025.10890288"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100370161","display_name":"Jianguo Zhu","orcid":"https://orcid.org/0000-0002-9763-4047"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Zhu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108782193","display_name":"Xin Zou","orcid":"https://orcid.org/0009-0009-5696-8807"},"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":"Xin Zou","raw_affiliation_strings":["China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110936835","display_name":"Lei Liu","orcid":"https://orcid.org/0009-0005-9457-683X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015951666","display_name":"Zhangmin Huang","orcid":"https://orcid.org/0000-0001-9294-4196"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangmin Huang","raw_affiliation_strings":["Zhejiang Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072067762","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2559-3741"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Zhejiang Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033240507","display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"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":"Chang Tang","raw_affiliation_strings":["China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Geosciences","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057227915","display_name":"Li-Rong Dai","orcid":"https://orcid.org/0000-0002-0859-2827"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Rong Dai","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100370161"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.1886,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86323883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8964999914169312,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8964999914169312,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.8330000042915344,"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/T10320","display_name":"Neural Networks and Applications","score":0.7950999736785889,"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/computer-science","display_name":"Computer science","score":0.7043642997741699},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6124669909477234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2832699418067932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043642997741699},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6124669909477234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2832699418067932}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2033178790","https://openalex.org/W2100495367","https://openalex.org/W2786585376","https://openalex.org/W2797653144","https://openalex.org/W3035663159","https://openalex.org/W3044096495","https://openalex.org/W3162187167","https://openalex.org/W3173972271","https://openalex.org/W3176694003","https://openalex.org/W4283798877","https://openalex.org/W4312973985","https://openalex.org/W4322487658","https://openalex.org/W4386071520","https://openalex.org/W4386159021","https://openalex.org/W4386160116","https://openalex.org/W4387968493","https://openalex.org/W4388192038","https://openalex.org/W4388487542","https://openalex.org/W4392189981","https://openalex.org/W4392903632","https://openalex.org/W4395699077","https://openalex.org/W4401109681","https://openalex.org/W4401109970","https://openalex.org/W4401451853","https://openalex.org/W4403679662","https://openalex.org/W4404814669","https://openalex.org/W6688609405","https://openalex.org/W6859298233","https://openalex.org/W6873722754","https://openalex.org/W6874419570"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,92,174],"can":[2],"partition":[3],"data":[4,122],"samples":[5],"into":[6],"their":[7],"categories":[8],"by":[9],"learning":[10,63],"a":[11,89,108,117,124],"consensus":[12],"representation":[13,132,136],"in":[14,25,55,74,82,171],"an":[15,31],"unsupervised":[16],"way":[17],"and":[18,22,133],"has":[19],"received":[20],"more":[21,23],"attention":[24],"recent":[26],"years.":[27],"However,":[28],"there":[29],"is":[30,179],"untrusted":[32],"fusion":[33,81,119],"problem.":[34],"The":[35,44,59,176],"reasons":[36],"for":[37],"this":[38,96],"problem":[39],"are":[40],"as":[41,99],"follows:":[42],"1)":[43],"current":[45],"methods":[46],"ignore":[47],"the":[48,56,66,71,83,130,134,138,146,152,158,165],"presence":[49],"of":[50,61,120,148],"noise":[51],"or":[52],"redundant":[53],"information":[54],"view;":[57],"2)":[58],"similarity":[60,147],"contrastive":[62],"comes":[64],"from":[65,151,157],"same":[67,72,153,159],"sample":[68],"rather":[69],"than":[70],"cluster":[73],"deep":[75,172],"multi-view":[76,80,91,121,173],"clustering.":[77],"It":[78],"causes":[79],"wrong":[84],"direction.":[85],"This":[86],"paper":[87],"proposes":[88],"novel":[90],"network":[93],"to":[94],"address":[95],"problem,":[97],"termed":[98],"Trusted":[100,110],"Mamba":[101,111],"Contrastive":[102,140],"Network":[103,113],"(TMCN).":[104],"Specifically,":[105],"we":[106,128],"present":[107],"new":[109],"Fusion":[112],"(TMFN),":[114],"which":[115],"achieves":[116,168],"trusted":[118],"through":[123],"selective":[125],"mechanism.":[126],"Moreover,":[127],"align":[129],"fused":[131],"view-specific":[135],"using":[137],"Average-similarity":[139],"Learning":[141],"(AsCL)":[142],"module.":[143],"AsCL":[144],"increases":[145],"view":[149],"presentation":[150],"cluster,":[154],"not":[155],"merely":[156],"sample.":[160],"Extensive":[161],"experiments":[162],"show":[163],"that":[164],"proposed":[166],"method":[167],"state-of-the-art":[169],"results":[170],"tasks.":[175],"source":[177],"code":[178],"available":[180],"at":[181],"https://github.com/HackerHyper/TMCN.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}