{"id":"https://openalex.org/W4401416083","doi":"https://doi.org/10.1109/tip.2024.3436615","title":"Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering","display_name":"Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401416083","doi":"https://doi.org/10.1109/tip.2024.3436615","pmid":"https://pubmed.ncbi.nlm.nih.gov/39115994"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3436615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3436615","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.edgehill.ac.uk/ws/files/93038512/TIP_MVC_Final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101448074","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0002-1057-7909"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114290703","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0001-9419-9038"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047100124","display_name":"Ran Song","orcid":"https://orcid.org/0000-0002-1344-4415"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Song","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017205444","display_name":"Yonghuai Liu","orcid":"https://orcid.org/0000-0002-3774-2134"},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yonghuai Liu","raw_affiliation_strings":["Department of Computer Science, Edge Hill University, Ormskirk, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Edge Hill University, Ormskirk, U.K","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756634","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-4960-3190"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101448074"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":7.0466,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97404316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"4501","last_page":"4515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9851999878883362,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9851999878883362,"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":0.9595000147819519,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9025999903678894,"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":0.686947226524353},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.673986554145813},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5798941850662231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342772006988525},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45588219165802},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19882020354270935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686947226524353},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.673986554145813},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5798941850662231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342772006988525},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45588219165802},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19882020354270935}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2024.3436615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3436615","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:39115994","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39115994","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire/e7e0ec4e-b95f-4c7e-96f9-94b86d39e552","is_oa":true,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/e7e0ec4e-b95f-4c7e-96f9-94b86d39e552","pdf_url":"https://research.edgehill.ac.uk/ws/files/93038512/TIP_MVC_Final.pdf","source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qian, Z, Zhang, L, Song, R, Cong, R, LIU, YONGHUAI & Zhang, W 2024, 'Learning Common Semantics via Optimal Transport for Contrastive Multi-view Clustering', IEEE Transactions on Image Processing, vol. 33, pp. 4501-4515. https://doi.org/10.1109/TIP.2024.3436615","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/e7e0ec4e-b95f-4c7e-96f9-94b86d39e552","is_oa":true,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/e7e0ec4e-b95f-4c7e-96f9-94b86d39e552","pdf_url":"https://research.edgehill.ac.uk/ws/files/93038512/TIP_MVC_Final.pdf","source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qian, Z, Zhang, L, Song, R, Cong, R, LIU, YONGHUAI & Zhang, W 2024, 'Learning Common Semantics via Optimal Transport for Contrastive Multi-view Clustering', IEEE Transactions on Image Processing, vol. 33, pp. 4501-4515. https://doi.org/10.1109/TIP.2024.3436615","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1073461553","display_name":null,"funder_award_id":"62076148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1734900512","display_name":null,"funder_award_id":"2019090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G320566030","display_name":null,"funder_award_id":"2021ZD0112002","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5593383844","display_name":null,"funder_award_id":"61991411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6033659780","display_name":null,"funder_award_id":"U22A2057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7876196518","display_name":null,"funder_award_id":"20190902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401416083.pdf","grobid_xml":"https://content.openalex.org/works/W4401416083.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1777221758","https://openalex.org/W1965555842","https://openalex.org/W1982000871","https://openalex.org/W2007972815","https://openalex.org/W2145862222","https://openalex.org/W2154478709","https://openalex.org/W2155904486","https://openalex.org/W2626618681","https://openalex.org/W2921065608","https://openalex.org/W2953183526","https://openalex.org/W2954752948","https://openalex.org/W2997707481","https://openalex.org/W2997739739","https://openalex.org/W3035663159","https://openalex.org/W3035751812","https://openalex.org/W3037338872","https://openalex.org/W3087124270","https://openalex.org/W3110446398","https://openalex.org/W3122870122","https://openalex.org/W3128661784","https://openalex.org/W3132023044","https://openalex.org/W3136737181","https://openalex.org/W3137890092","https://openalex.org/W3167308647","https://openalex.org/W3169978599","https://openalex.org/W3173513735","https://openalex.org/W3173972271","https://openalex.org/W3176463841","https://openalex.org/W3186740887","https://openalex.org/W3188030217","https://openalex.org/W3216549632","https://openalex.org/W4205660500","https://openalex.org/W4206635403","https://openalex.org/W4226144843","https://openalex.org/W4233762729","https://openalex.org/W4283817440","https://openalex.org/W4287891019","https://openalex.org/W4310595044","https://openalex.org/W4312236429","https://openalex.org/W4312581915","https://openalex.org/W4312973985","https://openalex.org/W4315926876","https://openalex.org/W4320713010","https://openalex.org/W4321021971","https://openalex.org/W4386065623","https://openalex.org/W4386065630","https://openalex.org/W4386066477","https://openalex.org/W4386071520","https://openalex.org/W4386083016","https://openalex.org/W4388895088","https://openalex.org/W4398757497","https://openalex.org/W6682962330","https://openalex.org/W6682991666","https://openalex.org/W6737976933","https://openalex.org/W6743688258","https://openalex.org/W6749061179","https://openalex.org/W6762833281","https://openalex.org/W6770196601","https://openalex.org/W6779073920","https://openalex.org/W6779579431","https://openalex.org/W6779997284","https://openalex.org/W6787972765","https://openalex.org/W6803318553","https://openalex.org/W6810290903","https://openalex.org/W6838877340","https://openalex.org/W6860260354","https://openalex.org/W6863181213"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,67,174],"aims":[2],"to":[3,20,63,89,129,133,147,152],"learn":[4,134],"discriminative":[5],"representations":[6],"from":[7,39,108],"multi-view":[8,51,66,96],"data.":[9,52],"Although":[10],"existing":[11],"methods":[12],"show":[13],"impressive":[14],"performance":[15],"by":[16],"leveraging":[17],"contrastive":[18,65,162],"learning":[19,70,117],"tackle":[21],"the":[22,31,45,82,90,95,100,104,109,120,131,158,172],"representation":[23,163],"gap":[24],"between":[25],"every":[26],"two":[27],"views,":[28],"they":[29],"share":[30],"common":[32,73,101],"limitation":[33],"of":[34,47,160],"not":[35],"performing":[36],"semantic":[37,48,69,97,105,116,154],"alignment":[38],"a":[40,72,115,126,143],"global":[41,127],"perspective,":[42],"resulting":[43],"in":[44,50,71,84,99],"undermining":[46],"patterns":[49,98],"This":[53],"paper":[54],"presents":[55],"CSOT,":[56],"namely":[57],"Common":[58],"Semantics":[59],"via":[60,68],"Optimal":[61],"Transport,":[62],"boost":[64],"space":[74],"that":[75,169],"integrates":[76],"all":[77,138],"views.":[78,139],"Through":[79],"optimal":[80,110],"transport,":[81],"samples":[83,149],"multiple":[85],"views":[86],"are":[87],"mapped":[88],"joint":[91],"clusters":[92],"which":[93,156],"represent":[94],"space.":[102],"With":[103],"assignment":[106,122],"derived":[107],"transport":[111],"plan,":[112],"we":[113,141],"design":[114],"module":[118],"where":[119],"soft":[121],"vector":[123],"works":[124],"as":[125],"supervision":[128],"enforce":[130],"model":[132],"consistent":[135],"semantics":[136],"among":[137],"Moreover,":[140],"propose":[142],"semantic-aware":[144],"re-weighting":[145],"strategy":[146],"treat":[148],"differently":[150],"according":[151],"their":[153],"significance,":[155],"improves":[157],"effectiveness":[159],"cross-view":[161],"learning.":[164],"Extensive":[165],"experimental":[166],"results":[167],"demonstrate":[168],"CSOT":[170],"achieves":[171],"state-of-the-art":[173],"performance.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}