{"id":"https://openalex.org/W4410536543","doi":"https://doi.org/10.1109/tcsvt.2025.3571787","title":"Comprehensive Information Extraction With Separable Representation Learning for Multi-View Clustering","display_name":"Comprehensive Information Extraction With Separable Representation Learning for Multi-View Clustering","publication_year":2025,"publication_date":"2025-05-20","ids":{"openalex":"https://openalex.org/W4410536543","doi":"https://doi.org/10.1109/tcsvt.2025.3571787"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3571787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3571787","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","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/A5103196395","display_name":"Penglei Wang","orcid":"https://orcid.org/0000-0001-9469-3917"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Penglei Wang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9469-3917","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027472534","display_name":"Danyang Wu","orcid":"https://orcid.org/0000-0002-0309-1409"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Wu","raw_affiliation_strings":["College of Information Engineering and Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agricultural Information, Northwest A&F University, Xianyang, Shaanxi, China","College of Information Engineering, Northwest A. & F University, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-0309-1409","affiliations":[{"raw_affiliation_string":"College of Information Engineering and Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agricultural Information, Northwest A&F University, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Information Engineering, Northwest A. & F University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114357209","display_name":"Jin Xu","orcid":"https://orcid.org/0009-0001-8735-3532"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":["School of Future Technology, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-8735-3532","affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["School of Computer Science, School of Artificial Intelligence, OPtics and ElectroNics, Northwestern Polytechnical University, Xi’an, China","School of Artificial Intelligence, OPtics and ElectroNics, School of Computer Science, Northwestern Polytechnical University, Xi’an, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-0871-6519","affiliations":[{"raw_affiliation_string":"School of Computer Science, School of Artificial Intelligence, OPtics and ElectroNics, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, OPtics and ElectroNics, School of Computer Science, Northwestern Polytechnical University, Xi’an, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103196395"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":5.8102,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95484647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"35","issue":"11","first_page":"10679","last_page":"10692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.8129000067710876,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.8129000067710876,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8032000064849854,"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":0.7190988063812256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6794518828392029},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.6172650456428528},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5594863295555115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5419332981109619},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5083131194114685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39261698722839355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26215875148773193}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7190988063812256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794518828392029},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.6172650456428528},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5594863295555115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5419332981109619},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5083131194114685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39261698722839355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26215875148773193},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3571787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3571787","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2032192207","display_name":null,"funder_award_id":"62406253","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"},{"id":"https://openalex.org/G2234319012","display_name":null,"funder_award_id":"62372187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2922203726","display_name":null,"funder_award_id":"2024JC-YBQN-0700","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320331088","display_name":"Natural Science Foundation for Young Scientists of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2009855072","https://openalex.org/W2161160262","https://openalex.org/W2199534117","https://openalex.org/W2604723872","https://openalex.org/W2787885212","https://openalex.org/W2966840649","https://openalex.org/W2972477132","https://openalex.org/W2995857167","https://openalex.org/W2998124973","https://openalex.org/W3005916310","https://openalex.org/W3031917049","https://openalex.org/W3035663159","https://openalex.org/W3086294041","https://openalex.org/W3089039599","https://openalex.org/W3120807512","https://openalex.org/W3122870122","https://openalex.org/W3128918602","https://openalex.org/W3149863265","https://openalex.org/W3160166991","https://openalex.org/W3173513735","https://openalex.org/W3173972271","https://openalex.org/W3205485865","https://openalex.org/W3214614272","https://openalex.org/W4200226646","https://openalex.org/W4226080957","https://openalex.org/W4293567682","https://openalex.org/W4307501835","https://openalex.org/W4313648745","https://openalex.org/W4315926876","https://openalex.org/W4321780073","https://openalex.org/W4360753265","https://openalex.org/W4377231545","https://openalex.org/W4377710637","https://openalex.org/W4380875852","https://openalex.org/W4380883528","https://openalex.org/W4384938857","https://openalex.org/W4385453259","https://openalex.org/W4386071520","https://openalex.org/W4386083016","https://openalex.org/W4386363051","https://openalex.org/W4387409139","https://openalex.org/W4387546388","https://openalex.org/W4387789464","https://openalex.org/W4388192715","https://openalex.org/W4390246037","https://openalex.org/W4390873400","https://openalex.org/W4390874473","https://openalex.org/W4393159565","https://openalex.org/W4400726743","https://openalex.org/W4402703072","https://openalex.org/W4402772272"],"related_works":["https://openalex.org/W2009525028","https://openalex.org/W4321064619","https://openalex.org/W2076561698","https://openalex.org/W2053599029","https://openalex.org/W2962925412","https://openalex.org/W2023672523","https://openalex.org/W4246719751","https://openalex.org/W4298130764","https://openalex.org/W2483165346","https://openalex.org/W2043538960"],"abstract_inverted_index":{"Deep":[0],"Multi-View":[1],"Clustering":[2],"(MVC)":[3],"methods":[4,24,67],"partition":[5],"multi-view":[6],"data":[7],"into":[8,140],"disjoint":[9],"clusters":[10],"in":[11,42,165],"an":[12],"unsupervised":[13],"manner,":[14],"showing":[15],"significant":[16],"promise":[17],"across":[18,33],"various":[19],"domains.":[20],"However,":[21],"current":[22,216],"MVC":[23,66,85,217],"primarily":[25],"focus":[26],"on":[27,204],"capturing":[28],"the":[29,38,51,54,60,113,120,126,151,159,166,172,194,198,209],"consistency":[30],"information":[31,40,103,134],"shared":[32],"all":[34],"views":[35],"and":[36,68,82,128,149,162,169,200],"undervalue":[37],"specificity":[39,102],"inherent":[41],"each":[43],"view":[44],"that":[45],"reflects":[46],"its":[47],"unique":[48],"characteristics.":[49],"Furthermore,":[50],"underexploration":[52],"of":[53,56,64,116,154,211],"separability":[55,161],"learned":[57],"representations":[58,130,139,199],"limits":[59],"overall":[61],"clustering":[62,72,174,187],"performance":[63],"existing":[65],"leads":[69],"to":[70,96,111,131,214],"undesirable":[71],"results.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"a":[79,106,141,179],"fully":[80],"differentiable":[81],"end-to-end":[83],"deep":[84],"framework,":[86],"named":[87],"Comprehensive":[88],"Information":[89],"Extraction":[90],"with":[91,145],"Separable":[92],"Representation":[93],"Learning":[94],"(CIRSEL),":[95],"address":[97],"these":[98],"issues.":[99],"CIRSEL":[100,123,137,177,212],"recasts":[101],"extraction":[104],"as":[105],"high-order":[107],"graph":[108],"pooling":[109],"process":[110],"capture":[112],"view-specific":[114,129],"characteristics":[115],"individual":[117],"views.":[118],"Utilizing":[119],"cross-attention":[121],"mechanism,":[122],"adaptively":[124],"fuses":[125],"consistent":[127],"achieve":[132],"comprehensive":[133],"extraction.":[135],"Subsequently,":[136],"maps":[138],"unit":[142],"hypersphere":[143],"space":[144,168],"evenly":[146],"distributed":[147],"prototypes":[148],"maximizes":[150],"variational":[152],"estimation":[153],"Mutual":[155],"Information,":[156],"which":[157,184],"enhances":[158],"inter-cluster":[160],"intra-cluster":[163],"compactness":[164],"embedding":[167],"further":[170],"benefits":[171],"following":[173],"learning.":[175],"Finally,":[176],"introduces":[178],"nuclear":[180],"norm-based":[181],"balance":[182],"regularization,":[183],"ensures":[185],"balanced":[186],"results":[188],"can":[189],"be":[190],"directly":[191],"retrieved":[192],"by":[193],"cosine":[195],"similarity":[196],"between":[197],"prototypes.":[201],"Extensive":[202],"experiments":[203],"ten":[205],"benchmark":[206],"datasets":[207],"demonstrate":[208],"effectiveness":[210],"compared":[213],"sixteen":[215],"methods.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}