{"id":"https://openalex.org/W4416649779","doi":"https://doi.org/10.1109/tcsvt.2025.3636507","title":"SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering","display_name":"SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416649779","doi":"https://doi.org/10.1109/tcsvt.2025.3636507"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2025.3636507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3636507","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.15396","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063920046","display_name":"Liang Peng","orcid":"https://orcid.org/0009-0001-5036-4449"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Peng","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Department of Computer Science, Shantou University, China"],"raw_orcid":"https://orcid.org/0009-0001-5036-4449","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Department of Computer Science, Shantou University, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108965117","display_name":"Yixuan Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Ye","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Department of Computer Science, Shantou University, China"],"raw_orcid":"https://orcid.org/0009-0004-3927-2019","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Department of Computer Science, Shantou University, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660672","display_name":"Cheng Liu","orcid":"https://orcid.org/0000-0002-7204-7030"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Liu","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Department of Computer Science, Shantou University, China"],"raw_orcid":"https://orcid.org/0000-0002-7204-7030","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Department of Computer Science, Shantou University, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057428910","display_name":"Hangjun Che","orcid":"https://orcid.org/0000-0002-8930-0039"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangjun Che","raw_affiliation_strings":["Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China","College of Electronic and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8930-0039","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Electronic and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Department of Computer Science, Shantou University, Shantou, China","Department of Computer Science, Shantou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Department of Computer Science, Shantou University, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"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":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-0935-5890","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070982537","display_name":"Si Wu","orcid":"https://orcid.org/0000-0003-4022-0852"},"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":"Si Wu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-4022-0852","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Computer Science, City University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-1530-7529","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5063920046"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":null,"apc_paid":null,"fwci":1.8264,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89968976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"4357","last_page":"4370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.5408999919891357,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.5408999919891357,"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":0.10480000078678131,"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/T11448","display_name":"Face recognition and analysis","score":0.06599999964237213,"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/exploit","display_name":"Exploit","score":0.7038999795913696},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6021999716758728},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.598800003528595},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5633999705314636},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.4810999929904938},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.4706999957561493},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45329999923706055},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43209999799728394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983999848365784},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7038999795913696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6517999768257141},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6021999716758728},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5633999705314636},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.4810999929904938},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.4706999957561493},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4555000066757202},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43209999799728394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40630000829696655},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.28870001435279846},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.26440000534057617}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2025.3636507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3636507","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"},{"id":"pmh:oai:arXiv.org:2512.15396","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.15396","pdf_url":"https://arxiv.org/pdf/2512.15396","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.15396","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.15396","pdf_url":"https://arxiv.org/pdf/2512.15396","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4110595055","display_name":null,"funder_award_id":"62072189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G563381420","display_name":null,"funder_award_id":"2023A1515030154","funder_id":"https://openalex.org/F4320315329","funder_display_name":"Scientific Education and Research Foundation"},{"id":"https://openalex.org/G6945421991","display_name":null,"funder_award_id":"62106136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8246769403","display_name":null,"funder_award_id":"CityU 11206622","funder_id":"https://openalex.org/F4320333454","funder_display_name":"Research and Innovative Technology Administration"},{"id":"https://openalex.org/G8800353519","display_name":null,"funder_award_id":"2025A1515011692","funder_id":"https://openalex.org/F4320315329","funder_display_name":"Scientific Education and Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320315329","display_name":"Scientific Education and Research Foundation","ror":"https://ror.org/029zvkg32"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333454","display_name":"Research and Innovative Technology Administration","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1],"has":[2],"been":[3],"empirically":[4],"shown":[5],"to":[6,49,56,78,82,106,143,157,236],"improve":[7],"learning":[8,32,119,131,156],"performance":[9],"by":[10,174,191],"leveraging":[11],"the":[12,59,84,90,94,145,181,192,209,212,227,233,259],"inherent":[13,95],"complementary":[14],"information":[15],"across":[16,64,201],"multiple":[17],"views":[18,28,202],"of":[19,97,139,147,183,211,226],"data.":[20,71,167,189],"However,":[21,72],"in":[22,103,108,162],"real-world":[23],"scenarios,":[24],"collecting":[25],"strictly":[26],"aligned":[27,35,68,164],"is":[29,142,264],"challenging,":[30],"and":[31,36,62,69,165,241],"from":[33,89],"both":[34,67,163],"unaligned":[37,70,80,166],"data":[38,81,99],"becomes":[39],"a":[40,127,184],"more":[41],"practical":[42],"solution.":[43],"Partially":[44],"View-aligned":[45],"Clustering":[46],"(PVC)":[47],"aims":[48],"learn":[50],"correspondences":[51,111],"between":[52,112],"misaligned":[53],"view":[54,171,223,229],"samples":[55,88],"better":[57],"exploit":[58,159,198],"potential":[60],"consistency":[61,200],"complementarity":[63],"views,":[65],"including":[66],"most":[73],"existing":[74,256],"PVC":[75,260],"methods":[76],"fail":[77],"leverage":[79],"capture":[83],"shared":[85],"semantics":[86,240],"among":[87],"same":[91],"cluster.":[92],"Moreover,":[93],"heterogeneity":[96],"multi-view":[98],"induces":[100],"distributional":[101,149],"shifts":[102,173],"representations,":[104],"leading":[105],"inaccuracies":[107],"establishing":[109],"meaningful":[110],"cross-view":[113,148,176],"latent":[114],"features":[115],"and,":[116],"consequently,":[117],"impairing":[118],"effectiveness.":[120],"To":[121],"address":[122],"these":[123],"challenges,":[124],"we":[125,169,196],"propose":[126],"Semantic":[128],"MAtching":[129],"contRasTive":[130],"model":[132,216],"(SMART)":[133],"for":[134,187,221],"PVC.":[135],"The":[136,262],"main":[137],"idea":[138],"our":[140,215,252],"approach":[141],"alleviate":[144],"influence":[146],"shifts,":[150],"thereby":[151],"facilitating":[152],"semantic":[153,160,185,194,199,204,219],"matching":[154,205,220],"contrastive":[155,206],"fully":[158],"relationships":[161],"Specifically,":[168],"mitigate":[170],"distribution":[172],"aligning":[175],"covariance":[177],"matrices,":[178],"which":[179,231],"enables":[180,232],"inference":[182],"graph":[186],"all":[188],"Guided":[190],"learned":[193,234],"graph,":[195],"further":[197],"through":[203],"learning.":[207],"After":[208],"optimization":[210],"above":[213],"mechanisms,":[214],"smoothly":[217],"performs":[218],"different":[222],"embeddings":[224],"instead":[225],"cumbersome":[228],"realignment,":[230],"representations":[235],"enjoy":[237],"richer":[238],"category-level":[239],"stronger":[242],"robustness.":[243],"Extensive":[244],"experiments":[245],"on":[246,258],"eight":[247],"benchmark":[248],"datasets":[249],"demonstrate":[250],"that":[251],"method":[253],"consistently":[254],"outperforms":[255],"approaches":[257],"problem.":[261],"code":[263],"available":[265],"at":[266],"https://github.com/THPengL/SMART.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-11-25T00:00:00"}
