{"id":"https://openalex.org/W4393380945","doi":"https://doi.org/10.1109/tnnls.2024.3378194","title":"One-Step Multi-View Clustering With Diverse Representation","display_name":"One-Step Multi-View Clustering With Diverse Representation","publication_year":2024,"publication_date":"2024-04-01","ids":{"openalex":"https://openalex.org/W4393380945","doi":"https://doi.org/10.1109/tnnls.2024.3378194","pmid":"https://pubmed.ncbi.nlm.nih.gov/38557633"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3378194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3378194","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5091803165","display_name":"Xinhang Wan","orcid":"https://orcid.org/0000-0001-8749-2869"},"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":"Xinhang Wan","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8749-2869","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657881","display_name":"Jiyuan Liu","orcid":"https://orcid.org/0000-0001-5702-4941"},"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":"Jiyuan Liu","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5702-4941","affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101105445","display_name":"Xinbiao Gan","orcid":"https://orcid.org/0000-0003-3622-1772"},"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":"Xinbiao Gan","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Intelligent Game and Decision Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9517-262X","affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666914","display_name":"Yi Wen","orcid":"https://orcid.org/0000-0002-5924-1429"},"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":"Yi Wen","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5924-1429","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061252955","display_name":"Tianjiao Wan","orcid":"https://orcid.org/0000-0002-2423-4982"},"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":"Tianjiao Wan","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"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":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2305-7555","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":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.9574,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.99774107,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"36","issue":"3","first_page":"5774","last_page":"5786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9876999855041504,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8605897426605225},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5969632863998413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5893891453742981},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5381373763084412},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5176818370819092},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4726528227329254},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42708727717399597},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4167305827140808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36034461855888367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3491631746292114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3252798318862915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2992449700832367},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10141003131866455}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8605897426605225},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5969632863998413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5893891453742981},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5381373763084412},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5176818370819092},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4726528227329254},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42708727717399597},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4167305827140808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36034461855888367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3491631746292114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3252798318862915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2992449700832367},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10141003131866455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3378194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3378194","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38557633","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38557633","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2455478723","display_name":null,"funder_award_id":"62276271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3930773365","display_name":null,"funder_award_id":"62376279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5729763073","display_name":null,"funder_award_id":"62325604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6288757633","display_name":null,"funder_award_id":"62376039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6603744613","display_name":null,"funder_award_id":"62306324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7090326123","display_name":"\u7f3a\u635f\u6570\u636e\u7684\u9c81\u68d2\u975e\u5b8c\u6574\u591a\u89c6\u56fe\u5b66\u4e60\u65b9\u6cd5\u53ca\u5176\u89c6\u89c9\u5e94\u7528\u7814\u7a76","funder_award_id":"62071157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7472951861","display_name":null,"funder_award_id":"2020AAA0107100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W1972441438","https://openalex.org/W2043545458","https://openalex.org/W2160914206","https://openalex.org/W2199534117","https://openalex.org/W2203271703","https://openalex.org/W2405459681","https://openalex.org/W2584959193","https://openalex.org/W2587115404","https://openalex.org/W2606011186","https://openalex.org/W2741998188","https://openalex.org/W2752190933","https://openalex.org/W2752197020","https://openalex.org/W2770642030","https://openalex.org/W2809299793","https://openalex.org/W2884277568","https://openalex.org/W2888654602","https://openalex.org/W2914816584","https://openalex.org/W2945288617","https://openalex.org/W2949854741","https://openalex.org/W2965174731","https://openalex.org/W2965510190","https://openalex.org/W2982595487","https://openalex.org/W2989044887","https://openalex.org/W2996771119","https://openalex.org/W2997739739","https://openalex.org/W2997770686","https://openalex.org/W3003832334","https://openalex.org/W3016050434","https://openalex.org/W3025752507","https://openalex.org/W3044063956","https://openalex.org/W3049576807","https://openalex.org/W3082058021","https://openalex.org/W3098802639","https://openalex.org/W3100993965","https://openalex.org/W3118054267","https://openalex.org/W3149863265","https://openalex.org/W3160166991","https://openalex.org/W3173294575","https://openalex.org/W3177174095","https://openalex.org/W3203289427","https://openalex.org/W3205485865","https://openalex.org/W4200226646","https://openalex.org/W4213019810","https://openalex.org/W4214544745","https://openalex.org/W4220757478","https://openalex.org/W4221152131","https://openalex.org/W4225771944","https://openalex.org/W4283792797","https://openalex.org/W4283827931","https://openalex.org/W4285483676","https://openalex.org/W4287891019","https://openalex.org/W4292263874","https://openalex.org/W4293370647","https://openalex.org/W4294192418","https://openalex.org/W4304098891","https://openalex.org/W4306317449","https://openalex.org/W4308211324","https://openalex.org/W4310266386","https://openalex.org/W4311550910","https://openalex.org/W4312238451","https://openalex.org/W4312574624","https://openalex.org/W4312646696","https://openalex.org/W4313306350","https://openalex.org/W4323338655","https://openalex.org/W4360770799","https://openalex.org/W4361859495","https://openalex.org/W4361984358","https://openalex.org/W4367016851","https://openalex.org/W4377130817","https://openalex.org/W4382202985","https://openalex.org/W4382203265","https://openalex.org/W4382237410","https://openalex.org/W4382318469","https://openalex.org/W4383860769","https://openalex.org/W4384659456","https://openalex.org/W4384938857","https://openalex.org/W4385489739","https://openalex.org/W4385610655","https://openalex.org/W4386065369","https://openalex.org/W4386395835","https://openalex.org/W4386435736","https://openalex.org/W4386523149","https://openalex.org/W4387968004","https://openalex.org/W4387968141","https://openalex.org/W4387968627","https://openalex.org/W4388919401","https://openalex.org/W4388936654","https://openalex.org/W4394951283","https://openalex.org/W4394994664","https://openalex.org/W4405022353","https://openalex.org/W6846866826","https://openalex.org/W6847371435","https://openalex.org/W6852565057","https://openalex.org/W6853140010","https://openalex.org/W6853295228","https://openalex.org/W6853738987","https://openalex.org/W6854694182"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W1987679298","https://openalex.org/W2963177394","https://openalex.org/W4313359513","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W1965815883","https://openalex.org/W763418848"],"abstract_inverted_index":{"Multi-View":[0,39],"clustering":[1,40,88,99,151,160,191],"has":[2,21],"attracted":[3],"broad":[4],"attention":[5],"due":[6],"to":[7,10,36,47,126,147,178],"its":[8],"capacity":[9],"utilize":[11],"consistent":[12],"and":[13,80,109,130,159],"complementary":[14],"information":[15,129,142],"among":[16],"views.":[17],"Although":[18],"tremendous":[19],"progress":[20],"been":[22],"made":[23],"recently,":[24],"most":[25,52],"existing":[26],"methods":[27,71],"undergo":[28],"high":[29],"complexity,":[30],"preventing":[31],"them":[32,54,132],"from":[33,73],"being":[34],"applied":[35],"large-scale":[37],"tasks.":[38],"via":[41],"matrix":[42],"factorization":[43],"is":[44,199],"a":[45,60,68,74,86,96,112,134],"representative":[46],"address":[48],"this":[49],"issue.":[50],"However,":[51],"of":[53,70,92,156,164,193],"map":[55],"the":[56,64,81,141,162,165,180,189],"data":[57,120],"matrices":[58,121,143],"into":[59,111,122],"fixed":[61],"dimension,":[62],"limiting":[63],"model's":[65],"expressiveness.":[66],"Moreover,":[67],"range":[69],"suffers":[72],"two-step":[75],"process,":[76],"i.e.,":[77],"multimodal":[78],"learning":[79,108,158],"subsequent":[82],"k-means,":[83],"inevitably":[84],"causing":[85],"suboptimal":[87],"result.":[89],"In":[90],"light":[91],"this,":[93],"we":[94,116,138,169],"propose":[95],"one-step":[97],"multi-view":[98,107],"with":[100,175],"diverse":[101,145],"representation":[102,157],"(OMVCDR)":[103],"method,":[104],"which":[105],"incorporates":[106],"k-means":[110],"unified":[113,154],"framework.":[114],"Specifically,":[115],"first":[117],"project":[118],"original":[119],"various":[123,186],"latent":[124],"spaces":[125],"attain":[127],"comprehensive":[128],"auto-weight":[131],"in":[133],"self-supervised":[135],"manner.":[136],"Then,":[137],"directly":[139],"use":[140],"under":[144],"dimensions":[146],"obtain":[148],"consensus":[149],"discrete":[150],"labels.":[152],"The":[153,197],"work":[155],"boosts":[161],"quality":[163],"final":[166],"results.":[167],"Furthermore,":[168],"develop":[170],"an":[171],"efficient":[172],"optimization":[173],"algorithm":[174],"proven":[176],"convergence":[177],"solve":[179],"resultant":[181],"problem.":[182],"Comprehensive":[183],"experiments":[184],"on":[185],"datasets":[187],"demonstrate":[188],"promising":[190],"performance":[192],"our":[194],"proposed":[195],"method.":[196],"code":[198],"publicly":[200],"available":[201],"at":[202],"https://github.com/wanxinhang/OMVCDR.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
