{"id":"https://openalex.org/W3007795584","doi":"https://doi.org/10.1109/tnnls.2020.2970195","title":"Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization","display_name":"Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3007795584","doi":"https://doi.org/10.1109/tnnls.2020.2970195","mag":"3007795584","pmid":"https://pubmed.ncbi.nlm.nih.gov/32092017"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2970195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2970195","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/A5013880628","display_name":"Yuheng Jia","orcid":"https://orcid.org/0000-0002-3907-6550"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuheng Jia","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3907-6550","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387652","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0003-2159-025X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3431-2021","affiliations":[{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6727,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90665409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"31","issue":"12","first_page":"5575","last_page":"5587"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9847999811172485,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8468731641769409},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6121353507041931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853677988052368},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5139567255973816},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5085240602493286},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49565303325653076},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.4755406379699707},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4753161072731018},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4736548662185669},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37214261293411255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3462643027305603},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3119633197784424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3046064078807831},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18598893284797668},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.14852935075759888}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8468731641769409},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6121353507041931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853677988052368},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5139567255973816},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5085240602493286},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49565303325653076},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.4755406379699707},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4753161072731018},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4736548662185669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37214261293411255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3462643027305603},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3119633197784424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3046064078807831},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18598893284797668},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.14852935075759888},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.2970195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2970195","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:32092017","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32092017","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":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4835894923","display_name":"\u591a\u6807\u8bb0\u95ee\u9898\u7684\u4e0d\u786e\u5b9a\u6027\u5206\u6790\u4e0e\u4e3b\u52a8\u5b66\u4e60\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7678096932","display_name":"\u9762\u5411\u89c6\u89c9\u611f\u77e5\u548c\u79fb\u52a8\u7ec8\u7aef\u7684\u9ad8\u6548\u89c6\u9891\u7f16\u7801\u4f18\u5316\u7814\u7a76","funder_award_id":"61672443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7867221944","display_name":"\u9762\u5411\u6c89\u6d78\u5f0f3D\u8fdc\u7a0b\u5448\u73b0\u7684\u52a8\u60013D\u70b9\u4e91\u9ad8\u6548\u538b\u7f29\u4e0e\u81ea\u9002\u5e94\u4f20\u8f93","funder_award_id":"61871342","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W3583549","https://openalex.org/W771234427","https://openalex.org/W1084418525","https://openalex.org/W1509714275","https://openalex.org/W1556320907","https://openalex.org/W1572368544","https://openalex.org/W1606272041","https://openalex.org/W1875623881","https://openalex.org/W1919721856","https://openalex.org/W1966286510","https://openalex.org/W1968970305","https://openalex.org/W1984707692","https://openalex.org/W2012002580","https://openalex.org/W2060379733","https://openalex.org/W2076398700","https://openalex.org/W2078467927","https://openalex.org/W2090668741","https://openalex.org/W2096100960","https://openalex.org/W2102112650","https://openalex.org/W2103788722","https://openalex.org/W2106210113","https://openalex.org/W2108119513","https://openalex.org/W2117154949","https://openalex.org/W2120337563","https://openalex.org/W2121842036","https://openalex.org/W2124216369","https://openalex.org/W2135029798","https://openalex.org/W2135076825","https://openalex.org/W2148687775","https://openalex.org/W2160419739","https://openalex.org/W2167139429","https://openalex.org/W2171500336","https://openalex.org/W2178697489","https://openalex.org/W2178968221","https://openalex.org/W2262682506","https://openalex.org/W2286955924","https://openalex.org/W2359433451","https://openalex.org/W2578312891","https://openalex.org/W2605427894","https://openalex.org/W2691337902","https://openalex.org/W2766448712","https://openalex.org/W2784309606","https://openalex.org/W2804454015","https://openalex.org/W2898080674","https://openalex.org/W2912210943","https://openalex.org/W2923396414","https://openalex.org/W2970503027","https://openalex.org/W3100648197","https://openalex.org/W3143596294","https://openalex.org/W6633048856","https://openalex.org/W6673083800","https://openalex.org/W6675382114","https://openalex.org/W6677328822","https://openalex.org/W6678330431","https://openalex.org/W6680012447","https://openalex.org/W6682003322","https://openalex.org/W6684205227","https://openalex.org/W6707209656","https://openalex.org/W6732209966","https://openalex.org/W6740457415","https://openalex.org/W6758700058"],"related_works":["https://openalex.org/W2012002580","https://openalex.org/W1510768092","https://openalex.org/W2894446834","https://openalex.org/W2611003898","https://openalex.org/W2951912874","https://openalex.org/W2178697489","https://openalex.org/W2171997565","https://openalex.org/W3154160056","https://openalex.org/W2381224930","https://openalex.org/W2120337563"],"abstract_inverted_index":{"Pairwise":[0],"constraints":[1],"(PCs)":[2],"composed":[3],"of":[4,22,57,63,89,112,176,182],"must-links":[5],"(MLs)":[6],"and":[7,98,106,167,172],"cannot-links":[8],"(CLs)":[9],"are":[10],"widely":[11],"used":[12],"in":[13],"many":[14],"semisupervised":[15],"tasks.":[16],"Due":[17],"to":[18,31,44,84,159,185],"the":[19,35,47,51,54,61,64,87,90,110,113,121,124,128,161,179],"limited":[20,91],"number":[21],"PCs,":[23],"pairwise":[24],"constraint":[25],"propagation":[26,165],"(PCP)":[27],"has":[28],"been":[29],"proposed":[30,136,162],"augment":[32],"them.":[33],"However,":[34],"existing":[36],"PCP":[37,77,187],"algorithms":[38],"only":[39],"adopt":[40],"a":[41,75,141],"single":[42],"matrix":[43],"contain":[45],"all":[46,175],"information,":[48],"which":[49,146,177],"overlooks":[50],"differences":[52],"between":[53,127],"two":[55,101,129],"types":[56],"links":[58],"such":[59],"that":[60],"discriminability":[62],"propagated":[65],"PCs":[66],"is":[67,131,138],"compromised.":[68],"To":[69],"this":[70,72],"end,":[71],"article":[73],"proposes":[74],"novel":[76],"model":[78,137,184],"via":[79],"dual":[80],"adversarial":[81,125],"manifold":[82],"regularization":[83],"fully":[85],"explore":[86],"potential":[88],"initial":[92],"PCs.":[93],"Specifically,":[94],"we":[95],"propagate":[96],"MLs":[97],"CLs":[99],"with":[100,151],"separated":[102],"variables,":[103],"called":[104],"similarity":[105],"dissimilarity":[107],"matrices,":[108],"under":[109],"guidance":[111],"graph":[114],"structure":[115],"constructed":[116],"from":[117],"data":[118],"samples.":[119],"At":[120],"same":[122],"time,":[123],"relationship":[126],"matrices":[130],"taken":[132],"into":[133],"consideration.":[134],"The":[135],"formulated":[139],"as":[140],"nonnegative":[142],"constrained":[143,170],"minimization":[144],"problem,":[145],"can":[147],"be":[148],"efficiently":[149],"solved":[150],"convergence":[152],"theoretically":[153],"guaranteed.":[154],"We":[155],"conduct":[156],"extensive":[157],"experiments":[158],"evaluate":[160],"model,":[163],"including":[164],"effectiveness":[166],"applications":[168],"on":[169],"clustering":[171],"metric":[173],"learning,":[174],"validate":[178],"superior":[180],"performance":[181],"our":[183],"state-of-the-art":[186],"models.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
