{"id":"https://openalex.org/W4409761042","doi":"https://doi.org/10.1109/tip.2025.3562083","title":"Parameter-Free Deep Multi-Modal Clustering With Reliable Contrastive Learning","display_name":"Parameter-Free Deep Multi-Modal Clustering With Reliable Contrastive Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409761042","doi":"https://doi.org/10.1109/tip.2025.3562083","pmid":"https://pubmed.ncbi.nlm.nih.gov/40272954"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3562083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3562083","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044240623","display_name":"Zhengzheng Lou","orcid":"https://orcid.org/0000-0002-6902-5260"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzheng Lou","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6902-5260","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hang Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Xue","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591389","display_name":"Yanzheng Wang","orcid":"https://orcid.org/0000-0003-3362-4381"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzheng Wang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603445","display_name":"Chaoyang Zhang","orcid":"https://orcid.org/0000-0002-1221-0406"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Zhang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088751649","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-6252-1061"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078088762","display_name":"Shizhe Hu","orcid":"https://orcid.org/0000-0003-1301-2396"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizhe Hu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1301-2396","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":28.0638,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.99539354,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"2628","last_page":"2640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9760000109672546,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9760000109672546,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9670000076293945,"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/T12031","display_name":"Speech and dialogue systems","score":0.9657999873161316,"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":0.6872047781944275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311676502227783},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6071018576622009},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5093072652816772},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4876915216445923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4798412024974823},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3707036077976227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872047781944275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311676502227783},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6071018576622009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5093072652816772},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4876915216445923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4798412024974823},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3707036077976227},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3562083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3562083","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:40272954","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40272954","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3440688377","display_name":null,"funder_award_id":"2024T170843","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4122942628","display_name":null,"funder_award_id":"2023M743186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5793222109","display_name":null,"funder_award_id":"2023M743186","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6600616813","display_name":null,"funder_award_id":"62206254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7324294374","display_name":null,"funder_award_id":"2024T170843","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1977376983","https://openalex.org/W2113855951","https://openalex.org/W2121947440","https://openalex.org/W2154039332","https://openalex.org/W2161969291","https://openalex.org/W2740464254","https://openalex.org/W2884277568","https://openalex.org/W2914095169","https://openalex.org/W2954432404","https://openalex.org/W2997951773","https://openalex.org/W3035663159","https://openalex.org/W3044096495","https://openalex.org/W3085525442","https://openalex.org/W3087124270","https://openalex.org/W3089039599","https://openalex.org/W3108655343","https://openalex.org/W3166805639","https://openalex.org/W3173972271","https://openalex.org/W3192375950","https://openalex.org/W3205485865","https://openalex.org/W4200226646","https://openalex.org/W4235129407","https://openalex.org/W4280531754","https://openalex.org/W4282937884","https://openalex.org/W4283798877","https://openalex.org/W4285601884","https://openalex.org/W4311593456","https://openalex.org/W4312973985","https://openalex.org/W4317743260","https://openalex.org/W4319068889","https://openalex.org/W4361801401","https://openalex.org/W4378804891","https://openalex.org/W4385453259","https://openalex.org/W4386071520","https://openalex.org/W4387681935","https://openalex.org/W4390970440","https://openalex.org/W4391341369","https://openalex.org/W4393160175","https://openalex.org/W4400112881","https://openalex.org/W4401728098","https://openalex.org/W4401878734","https://openalex.org/W4403600933","https://openalex.org/W6682991666","https://openalex.org/W6685357932","https://openalex.org/W6739509182","https://openalex.org/W6758833332"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2611989081","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671"],"abstract_inverted_index":{"Deep":[0],"multi-modal":[1,36,60],"clustering":[2,7,61],"(DMC)":[3],"expects":[4],"to":[5,30],"improve":[6],"performance":[8,148],"by":[9],"exploiting":[10],"abundant":[11],"information":[12],"available":[13,173],"from":[14,89,101,130],"multiple":[15],"modalities.":[16,47],"However,":[17],"different":[18],"modalities":[19],"usually":[20],"have":[21],"heterogeneous":[22],"distribution":[23],"with":[24,62,79],"uneven":[25],"quality.":[26],"This":[27],"may":[28],"lead":[29],"limited":[31],"performance,":[32],"especially":[33],"for":[34],"contrastive":[35,41,64,70,76,108,132],"clustering,":[37],"which":[38,144],"inevitably":[39],"performs":[40],"learning":[42,65,71,88,100,109,127],"between":[43,75],"high-quality":[44],"and":[45,93,117],"low-quality":[46],"To":[48],"tackle":[49],"this":[50,120],"challenge,":[51],"we":[52],"propose":[53],"a":[54],"novel":[55],"framework":[56,121],"named":[57],"parameter-free":[58],"deep":[59],"reliable":[63,69,107],"(PDMC-RCL).":[66],"Specifically,":[67],"the":[68,73,85,99,106,115,124,159],"quantifies":[72],"relationship":[74],"modality":[77,91,103],"pairs":[78,92],"weight":[80],"values":[81],"that":[82,123,138],"will":[83],"promote":[84],"discriminative":[86],"features":[87],"useful":[90],"slow":[94],"down":[95],"or":[96],"even":[97],"prevent":[98],"unreliable":[102],"pairs.":[104],"Moreover,":[105],"is":[110,135,142,172],"imposed":[111],"simultaneously":[112],"at":[113],"both":[114],"feature-level":[116],"cluster-level":[118],"in":[119],"so":[122],"feature":[125],"representation":[126],"can":[128,145],"benefit":[129],"multi-level":[131],"learning.":[133],"It":[134],"worth":[136],"noting":[137],"our":[139,162],"PDMC-RCL":[140],"method":[141,163],"parameter-free,":[143],"achieve":[146],"promising":[147],"without":[149],"additional":[150],"hyperparameter":[151],"tuning.":[152],"Experimental":[153],"results":[154],"on":[155,174],"various":[156],"datasets":[157],"show":[158],"effectiveness":[160],"of":[161],"over":[164],"typical":[165],"state-of-the-art":[166],"compared":[167],"DMCs.":[168],"The":[169],"source":[170],"code":[171],"https://github.com/ShizheHu.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
