{"id":"https://openalex.org/W4226180022","doi":"https://doi.org/10.1109/tkde.2023.3250245","title":"Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning","display_name":"Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning","publication_year":2023,"publication_date":"2023-03-06","ids":{"openalex":"https://openalex.org/W4226180022","doi":"https://doi.org/10.1109/tkde.2023.3250245"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3250245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3250245","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"preprint","indexed_in":["crossref"],"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/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035708362","display_name":"Senzhang Wang","orcid":"https://orcid.org/0000-0002-3615-4859"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senzhang Wang","raw_affiliation_strings":["School of Computer Science and Technology, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Xu","orcid":"https://orcid.org/0000-0003-3708-2823"},"institutions":[{"id":"https://openalex.org/I109173049","display_name":"Beijing Foreign Studies University","ror":"https://ror.org/00jdr0662","country_code":"CN","type":"education","lineage":["https://openalex.org/I109173049"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["School of Information Science and Technology, Beijing Foreign Studies University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Foreign Studies University, Beijing, China","institution_ids":["https://openalex.org/I109173049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423656","display_name":"Zheng Liu","orcid":"https://orcid.org/0000-0001-7765-8466"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Liu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9492-3807"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044651577","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-8608-8482"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5037831162"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00215285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"10","first_page":"10166","last_page":"10180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9835000038146973,"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/T10028","display_name":"Topic Modeling","score":0.9835000038146973,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9764000177383423,"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/T12488","display_name":"Mental Health via Writing","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490508556365967},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7008070349693298},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6002874374389648},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.5767577886581421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5616081357002258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509084463119507},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4747729003429413},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.45295748114585876},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4470347464084625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3957771360874176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14912492036819458},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09003663063049316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490508556365967},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7008070349693298},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6002874374389648},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.5767577886581421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5616081357002258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509084463119507},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4747729003429413},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.45295748114585876},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4470347464084625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3957771360874176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14912492036819458},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09003663063049316},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2023.3250245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3250245","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-126884","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-126884","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W633744573","https://openalex.org/W812851569","https://openalex.org/W863049760","https://openalex.org/W1666277081","https://openalex.org/W1767117126","https://openalex.org/W1969890816","https://openalex.org/W1982350890","https://openalex.org/W1999483928","https://openalex.org/W2021999013","https://openalex.org/W2033389579","https://openalex.org/W2040104067","https://openalex.org/W2049633694","https://openalex.org/W2055345291","https://openalex.org/W2058036501","https://openalex.org/W2064675550","https://openalex.org/W2075633077","https://openalex.org/W2102086994","https://openalex.org/W2130354913","https://openalex.org/W2139664924","https://openalex.org/W2157331557","https://openalex.org/W2170379762","https://openalex.org/W2268830323","https://openalex.org/W2278069886","https://openalex.org/W2339803498","https://openalex.org/W2374981910","https://openalex.org/W2415901874","https://openalex.org/W2588246945","https://openalex.org/W2598689838","https://openalex.org/W2775246207","https://openalex.org/W2788259657","https://openalex.org/W2808856341","https://openalex.org/W2896831016","https://openalex.org/W2896997271","https://openalex.org/W2904205492","https://openalex.org/W2953968544","https://openalex.org/W2962756421","https://openalex.org/W2985032289","https://openalex.org/W3047891698","https://openalex.org/W3153421894","https://openalex.org/W3209536965","https://openalex.org/W3211090837","https://openalex.org/W4226255997","https://openalex.org/W6640963894","https://openalex.org/W6678984984","https://openalex.org/W6684555397","https://openalex.org/W6690230747","https://openalex.org/W6730799176","https://openalex.org/W6731581786","https://openalex.org/W6731785350","https://openalex.org/W6760153258","https://openalex.org/W6766130793","https://openalex.org/W6768848008","https://openalex.org/W6782530476"],"related_works":["https://openalex.org/W482721","https://openalex.org/W728297","https://openalex.org/W128236","https://openalex.org/W14155316","https://openalex.org/W17636424","https://openalex.org/W761957","https://openalex.org/W9488309","https://openalex.org/W14576171","https://openalex.org/W13535490","https://openalex.org/W1655064"],"abstract_inverted_index":{"User":[0,139],"identity":[1,160],"linkage,":[2],"which":[3,60,198],"aims":[4],"to":[5,75,96,153,171,191,222],"link":[6],"identities":[7,28],"of":[8,52,58,182,201],"a":[9,33,40,134,148,164,185],"natural":[10],"person":[11],"across":[12],"different":[13],"social":[14,54,159,176],"platforms,":[15],"has":[16],"attracted":[17],"increasing":[18],"research":[19],"interest":[20],"recently.":[21],"Existing":[22],"approaches":[23],"usually":[24],"first":[25,146],"embed":[26],"the":[27,44,48,72,78,83,91,98,115,122,126,155,168,174,180,194,205,209,219,228,235,243],"as":[29],"deterministic":[30,63],"vectors":[31],"in":[32,129,167],"shared":[34],"latent":[35],"space,":[36],"and":[37,50,103,119,178,242],"then":[38],"learn":[39],"classifier":[41],"based":[42,65],"on":[43,90],"available":[45,156,196],"annotations.":[46,157],"However,":[47,82],"formation":[49],"characteristics":[51],"real-world":[53,240],"platforms":[55],"are":[56,216],"full":[57],"uncertainties,":[59],"makes":[61],"these":[62],"embedding":[64],"methods":[66,87],"sub-optimal.":[67],"Besides,":[68],"semi-supervised":[69,85],"models":[70],"utilize":[71],"unlabeled":[73,104],"data":[74,80],"help":[76],"capture":[77],"intrinsic":[79],"distribution.":[81],"existing":[84],"linkage":[86,117,151],"heavily":[88],"rely":[89],"heuristically":[92],"defined":[93],"similarity":[94],"measurements":[95],"incorporate":[97,154],"innate":[99],"closeness":[100],"between":[101],"labeled":[102,220],"samples.":[105],"Such":[106],"manually":[107],"designed":[108,190],"assumptions":[109],"may":[110],"not":[111],"be":[112],"consistent":[113],"with":[114],"actual":[116],"signals":[118],"further":[120],"introduce":[121],"noises.":[123],"To":[124],"address":[125],"mentioned":[127],"limitations,":[128],"this":[130],"paper":[131],"we":[132,145,233],"propose":[133,147],"novel":[135,149],"Noise-aware":[136],"Semi-supervised":[137],"Variational":[138],"Identity":[140],"Linkage":[141],"(NSVUIL)":[142],"model.":[143],"Specifically,":[144],"supervised":[150,210],"module":[152,188],"Each":[158],"is":[161,189,199],"represented":[162],"by":[163,208],"Gaussian":[165],"distribution":[166],"Wasserstein":[169],"space":[170],"simultaneously":[172],"preserve":[173],"fine-grained":[175],"profiles":[177],"model":[179,237],"uncertainty":[181],"identities.":[183],"Then,":[184],"noise-aware":[186],"self-learning":[187],"faithfully":[192],"augment":[193],"few":[195],"annotations,":[197],"capable":[200],"filtering":[202],"noises":[203],"from":[204],"pseudo-labels":[206],"generated":[207],"module.":[211],"The":[212],"filtered":[213],"reliable":[214],"candidates":[215],"added":[217],"into":[218],"set":[221],"provide":[223],"enhanced":[224],"training":[225,230],"guidance":[226],"for":[227],"next":[229],"iteration.":[231],"Empirically,":[232],"evaluate":[234],"NSVUIL":[236],"over":[238],"multiple":[239],"datasets,":[241],"experimental":[244],"results":[245],"demonstrate":[246],"its":[247],"superiority.":[248]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2022-05-05T00:00:00"}
