{"id":"https://openalex.org/W4321780073","doi":"https://doi.org/10.1109/tip.2023.3246802","title":"Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering","display_name":"Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321780073","doi":"https://doi.org/10.1109/tip.2023.3246802","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027595"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3246802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3246802","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/A5016393001","display_name":"Shiye Wang","orcid":"https://orcid.org/0000-0002-8973-0231"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiye Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8973-0231","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330875","display_name":"Changsheng Li","orcid":"https://orcid.org/0000-0001-9789-7632"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9789-7632","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393272","display_name":"Yanming Li","orcid":"https://orcid.org/0000-0002-6971-2909"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0247-9866","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":9.5726,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.98754997,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"1555","last_page":"1567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.9434717893600464},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7930287718772888},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.670198380947113},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6653544902801514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6360935568809509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.568953812122345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4535381495952606},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4297518730163574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39206427335739136}],"concepts":[{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.9434717893600464},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7930287718772888},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.670198380947113},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6653544902801514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6360935568809509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.568953812122345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4535381495952606},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4297518730163574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39206427335739136},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3246802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3246802","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:37027595","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027595","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":[],"awards":[{"id":"https://openalex.org/G2937404559","display_name":null,"funder_award_id":"U2001211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G678045099","display_name":null,"funder_award_id":"62122013","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W115285041","https://openalex.org/W191001584","https://openalex.org/W1572158434","https://openalex.org/W1638081485","https://openalex.org/W1686946872","https://openalex.org/W1907775068","https://openalex.org/W1994618660","https://openalex.org/W1997201895","https://openalex.org/W2031774932","https://openalex.org/W2059355863","https://openalex.org/W2095757522","https://openalex.org/W2139708568","https://openalex.org/W2156222070","https://openalex.org/W2163352848","https://openalex.org/W2163651591","https://openalex.org/W2187089797","https://openalex.org/W2197707282","https://openalex.org/W2199534117","https://openalex.org/W2473618152","https://openalex.org/W2478708596","https://openalex.org/W2741998188","https://openalex.org/W2750384547","https://openalex.org/W2797653144","https://openalex.org/W2896169497","https://openalex.org/W2898199757","https://openalex.org/W2898233200","https://openalex.org/W2944150796","https://openalex.org/W2949579163","https://openalex.org/W2962891704","https://openalex.org/W2964837208","https://openalex.org/W2966840649","https://openalex.org/W2990500698","https://openalex.org/W2994725852","https://openalex.org/W2997739739","https://openalex.org/W3034565211","https://openalex.org/W3035663159","https://openalex.org/W3041605346","https://openalex.org/W3045679024","https://openalex.org/W3136737181","https://openalex.org/W3140079845","https://openalex.org/W3143649444","https://openalex.org/W3165527726","https://openalex.org/W3166019258","https://openalex.org/W3173532622","https://openalex.org/W3173972271","https://openalex.org/W3175530672","https://openalex.org/W3177166467","https://openalex.org/W3209108897","https://openalex.org/W3217784147","https://openalex.org/W4200226646","https://openalex.org/W4220667080","https://openalex.org/W4393072862","https://openalex.org/W6632815874","https://openalex.org/W6637108112","https://openalex.org/W6717434760","https://openalex.org/W6729906282","https://openalex.org/W6743688258","https://openalex.org/W6744043827","https://openalex.org/W6754278344","https://openalex.org/W6762796984","https://openalex.org/W6766091529","https://openalex.org/W6767141496","https://openalex.org/W6767288045","https://openalex.org/W6771610787","https://openalex.org/W6784203733","https://openalex.org/W6784958482"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W2622284819","https://openalex.org/W1504394672","https://openalex.org/W2381356463","https://openalex.org/W3089381707","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W2741297526","https://openalex.org/W4295728955","https://openalex.org/W3129794609"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"explore":[4],"the":[5,21,53,72,83,91,98,112,123,132,147,167],"problem":[6],"of":[7,17,75,94,101,107,115,149],"deep":[8],"multi-view":[9,150,157],"subspace":[10,151],"clustering":[11],"framework":[12,42],"from":[13,55,82],"an":[14],"information-theoretic":[15],"point":[16],"view.":[18],"We":[19],"extend":[20],"traditional":[22],"information":[23,29,56,70,81,89,134,138],"bottleneck":[24],"principle":[25],"to":[26,67,121,130,144],"learn":[27,60],"common":[28,69],"among":[30,71],"different":[31,76],"views":[32,77],"in":[33],"a":[34,40,61,105],"self-supervised":[35,108],"manner,":[36],"and":[37],"accordingly":[38],"establish":[39],"new":[41],"called":[43],"Self-supervised":[44],"Information":[45],"Bottleneck":[46],"based":[47,139],"Multi-view":[48],"Subspace":[49],"Clustering":[50],"(SIB-MSC).":[51],"Inheriting":[52],"advantages":[54],"bottleneck,":[57],"SIB-MSC":[58,119],"can":[59],"latent":[62,73,92,99,113,125],"space":[63,126],"for":[64,90,110,127],"each":[65,102,128],"view":[66,84,103,129],"capture":[68,131],"representations":[74,93,114],"by":[78,135],"removing":[79],"superfluous":[80],"itself":[85],"while":[86],"retaining":[87],"sufficient":[88],"other":[95,116,124],"views.":[96,117],"Actually,":[97],"representation":[100],"provides":[104],"kind":[106],"signal":[109],"training":[111],"Moreover,":[118],"attempts":[120],"disengage":[122],"view-specific":[133],"introducing":[136],"mutual":[137],"regularization":[140],"terms,":[141],"so":[142],"as":[143],"further":[145],"improve":[146],"performance":[148,165],"clustering.":[152],"Extensive":[153],"experiments":[154],"on":[155],"real-world":[156],"data":[158],"demonstrate":[159],"that":[160],"our":[161],"method":[162],"achieves":[163],"superior":[164],"over":[166],"related":[168],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}