{"id":"https://openalex.org/W7169683256","doi":"https://doi.org/10.1007/978-981-92-3403-5_40","title":"AdvNCL: Adversarial Neighborhood Contrastive Learning for Robust Multi-view Clustering","display_name":"AdvNCL: Adversarial Neighborhood Contrastive Learning for Robust Multi-view Clustering","publication_year":2026,"publication_date":"2026-07-18","ids":{"openalex":"https://openalex.org/W7169683256","doi":"https://doi.org/10.1007/978-981-92-3403-5_40"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3403-5_40","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-92-3403-5_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-981-92-3403-5_40","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5141130542","display_name":"Li Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Cheng","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065775781","display_name":"Zhengzhong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzhong Zhu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038618652","display_name":"Jiangping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangping Zhu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, China","School of Information Science and Technology, Tibet University, Lhasa, 850000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, Lhasa, 850000, China","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114159509","display_name":"Lanxi Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanxi Bai","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141130685","display_name":"Jianbo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5141134267","display_name":"Pei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pei Zhou","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, 610065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, 610065, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5141134267"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"509","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7545999884605408},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6596999764442444},{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.33390000462532043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3231000006198883},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.31369999051094055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8507000207901001},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7545999884605408},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6596999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161999702453613},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31709998846054077},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2791999876499176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3403-5_40","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-92-3403-5_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-92-3403-5_40","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-92-3403-5_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2741998188","https://openalex.org/W2797653144","https://openalex.org/W2921065608","https://openalex.org/W3044096495","https://openalex.org/W3162187167","https://openalex.org/W3176694003","https://openalex.org/W4323338655","https://openalex.org/W4415708468"],"related_works":[],"abstract_inverted_index":{"Contrastive":[0,36],"multi-view":[1],"clustering":[2],"is":[3],"constrained":[4],"by":[5,116],"simplistic":[6],"positive-pair":[7],"construction":[8],"and":[9,63,103],"vulnerability":[10],"to":[11,48],"false":[12],"negatives.":[13],"Existing":[14],"methods":[15],"mechanically":[16],"align":[17],"pre-defined":[18],"pairs":[19],"without":[20],"exploring":[21],"semantic":[22],"neighborhoods":[23],"or":[24],"generating":[25],"challenging":[26],"augmentations.":[27,53],"To":[28],"address":[29],"these":[30],"limitations,":[31],"we":[32],"propose":[33],"Adversarial":[34],"Neighborhood":[35],"Learning":[37],"(AdvNCL),":[38],"which":[39],"leverages":[40],"K-nearest":[41],"neighbor":[42],"structures":[43],"in":[44,101,106],"the":[45,110,119],"representation":[46],"space":[47],"generate":[49],"semantically":[50],"consistent":[51],"adversarial":[52,67],"Specifically,":[54],"AdvNCL":[55,91,113],"employs":[56],"Mamba":[57],"networks":[58],"for":[59],"dynamic":[60],"view":[61],"fusion":[62],"introduces":[64],"a":[65],"neighborhood-constrained":[66],"loss":[68],"that":[69,90],"identifies":[70],"perturbations":[71],"maximally":[72],"disrupting":[73],"instance-level":[74],"discrimination":[75],"while":[76],"preserving":[77],"cluster":[78],"consistency.":[79],"Experiments":[80],"on":[81,109],"four":[82],"benchmark":[83],"datasets":[84],"(Hdigit,":[85],"Cifar100,":[86],"Prokaryotic,":[87],"Wiki)":[88],"demonstrate":[89],"outperforms":[92],"six":[93],"state-of-the-art":[94],"methods,":[95],"achieving":[96],"average":[97],"improvements":[98],"of":[99],"+3.2%":[100],"ACC":[102,115],"+":[104],"2.8%":[105],"NMI.":[107],"Notably,":[108],"Prokaryotic":[111],"dataset,":[112],"improves":[114],"12.5%":[117],"over":[118],"best":[120],"baseline.":[121]},"counts_by_year":[],"updated_date":"2026-07-20T05:51:44.042241","created_date":"2026-07-19T00:00:00"}