{"id":"https://openalex.org/W4404788554","doi":"https://doi.org/10.1109/tpami.2024.3507534","title":"Adaptive Graph Learning With Semantic Promotability for Domain Adaptation","display_name":"Adaptive Graph Learning With Semantic Promotability for Domain Adaptation","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4404788554","doi":"https://doi.org/10.1109/tpami.2024.3507534","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030309"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3507534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3507534","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Pattern Analysis and Machine Intelligence","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/A5043069371","display_name":"Zefeng Zheng","orcid":"https://orcid.org/0000-0003-0748-4346"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefeng Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0748-4346","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003969171","display_name":"Shaohua Teng","orcid":"https://orcid.org/0000-0002-7204-1288"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Teng","raw_affiliation_strings":["School of Computer Science and Technology, and with the School of Advanced Manufacturing, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7204-1288","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, and with the School of Advanced Manufacturing, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027800178","display_name":"Luyao Teng","orcid":"https://orcid.org/0000-0002-3872-4085"},"institutions":[{"id":"https://openalex.org/I4210104080","display_name":"Guangzhou Panyu Polytechnic","ror":"https://ror.org/01j9jcf33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104080"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Teng","raw_affiliation_strings":["School of Information Engineering, Guangzhou Panyu Polytechic, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3872-4085","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangzhou Panyu Polytechic, Guangzhou, China","institution_ids":["https://openalex.org/I4210104080"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-8273-9527"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8273-9527","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090664309","display_name":"Naiqi Wu","orcid":"https://orcid.org/0000-0001-6782-458X"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"NaiQi Wu","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China"],"raw_orcid":"https://orcid.org/0000-0001-6782-458X","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9675,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88123378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"47","issue":"3","first_page":"1747","last_page":"1763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9869999885559082,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181220650672913},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7085342407226562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5980823040008545},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5180904269218445},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5049358010292053},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4474489688873291},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3713735044002533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33762675523757935},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24779543280601501},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16439655423164368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11854183673858643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181220650672913},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7085342407226562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5980823040008545},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5180904269218445},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5049358010292053},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4474489688873291},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3713735044002533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33762675523757935},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24779543280601501},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16439655423164368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11854183673858643},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3507534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3507534","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40030309","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030309","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1979089718","https://openalex.org/W2057266281","https://openalex.org/W2061873838","https://openalex.org/W2149466042","https://openalex.org/W2627183927","https://openalex.org/W2803106019","https://openalex.org/W2884771968","https://openalex.org/W2951019399","https://openalex.org/W2962858109","https://openalex.org/W2963499153","https://openalex.org/W2965843558","https://openalex.org/W2988231818","https://openalex.org/W2996787432","https://openalex.org/W2998807071","https://openalex.org/W3014788410","https://openalex.org/W3018638193","https://openalex.org/W3021632667","https://openalex.org/W3034632552","https://openalex.org/W3041133507","https://openalex.org/W3046029591","https://openalex.org/W3049560862","https://openalex.org/W3090414386","https://openalex.org/W3127492637","https://openalex.org/W3153166695","https://openalex.org/W3163399111","https://openalex.org/W3164338400","https://openalex.org/W3166635318","https://openalex.org/W3169379378","https://openalex.org/W3170050227","https://openalex.org/W3172033034","https://openalex.org/W3175481246","https://openalex.org/W3177316921","https://openalex.org/W3184748380","https://openalex.org/W3187487833","https://openalex.org/W3195095870","https://openalex.org/W3201221410","https://openalex.org/W3212740620","https://openalex.org/W3215861780","https://openalex.org/W4210702020","https://openalex.org/W4221038138","https://openalex.org/W4224911196","https://openalex.org/W4225796356","https://openalex.org/W4226058880","https://openalex.org/W4282922170","https://openalex.org/W4285106784","https://openalex.org/W4285107695","https://openalex.org/W4285820676","https://openalex.org/W4292387244","https://openalex.org/W4308385509","https://openalex.org/W4311404181","https://openalex.org/W4311404245","https://openalex.org/W4311758718","https://openalex.org/W4312592225","https://openalex.org/W4312836786","https://openalex.org/W4312939248","https://openalex.org/W4313830005","https://openalex.org/W4316022119","https://openalex.org/W4318975292","https://openalex.org/W4321770555","https://openalex.org/W4327852039","https://openalex.org/W4385151930","https://openalex.org/W4385326288","https://openalex.org/W4385488752","https://openalex.org/W4386075668","https://openalex.org/W4387123322","https://openalex.org/W4387245372","https://openalex.org/W4388064861","https://openalex.org/W6750109254","https://openalex.org/W6762753787","https://openalex.org/W6801682309","https://openalex.org/W6810261015","https://openalex.org/W6810890649"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Domain":[0],"Adaptation":[1],"(DA)":[2],"is":[3,68,176],"used":[4],"to":[5],"reduce":[6],"cross-domain":[7,174],"differences":[8],"between":[9,40,155],"the":[10,18,86,99,116,125,149,156,170,187],"labeled":[11],"source":[12,100,129,157],"and":[13,43,56,91,95,101,118,130,137,158,180],"unlabeled":[14],"target":[15,89,105,133,162],"domains.":[16],"As":[17,164],"existing":[19],"semantic-based":[20],"DA":[21],"approaches":[22],"mainly":[23],"focus":[24],"on":[25,183],"extracting":[26,153],"consistent":[27],"knowledge":[28,39,46,175],"under":[29],"semantic":[30,94],"guidance,":[31],"they":[32],"may":[33],"fail":[34],"in":[35],"acquiring":[36],"(a)":[37,75],"personalized":[38],"intra-class":[41,128],"samples,":[42],"(b)":[44,107],"local":[45],"of":[47,72,88,120,127,189],"neighbor":[48],"samples":[49,90,134],"from":[50,98,169],"different":[51],"categories.":[52],"Hence,":[53],"a":[54],"multi-semantic-granularity":[55],"target-sample":[57],"oriented":[58],"approach,":[59],"called":[60],"Adaptive":[61,76,139],"Graph":[62,77,140],"Learning":[63,141],"with":[64,79,135,142],"Semantic":[65,80,144],"Promotability":[66],"(AGLSP),":[67],"proposed,":[69],"which":[70],"consists":[71],"three":[73],"parts:":[74],"Embedding":[78],"Guidance":[81],"(AGE-SG)":[82],"that":[83,113,147],"adaptively":[84],"estimates":[85],"promotability":[87],"learns":[92,166],"variant":[93],"geometrical":[96],"components":[97],"those":[102,159],"semantically":[103,131,160],"promotable":[104,132],"samples;":[106],"Semantically":[108],"Promotable":[109],"Sample":[110],"Enhancement":[111],"(SPSE)":[112],"further":[114],"increases":[115],"discriminability":[117],"adaptability":[119],"tag":[121,150],"granularity":[122,151],"by":[123,152],"mining":[124],"features":[126],"multi-granularities;":[136],"(c)":[138],"Implicit":[143],"Preservation":[145],"(AGL-ISP)":[146],"forms":[148],"commonalities":[154],"non-promotable":[161],"samples.":[163],"AGLSP":[165],"more":[167,173],"semantics":[168],"two":[171],"domains,":[172],"transferred.":[177],"Mathematical":[178],"proofs":[179],"extensive":[181],"experiments":[182],"seven":[184],"datasets":[185],"demonstrate":[186],"performance":[188],"AGLSP.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
