{"id":"https://openalex.org/W3131163951","doi":"https://doi.org/10.1109/tkde.2021.3060037","title":"Transferable Feature Selection for Unsupervised Domain Adaptation","display_name":"Transferable Feature Selection for Unsupervised Domain Adaptation","publication_year":2021,"publication_date":"2021-02-18","ids":{"openalex":"https://openalex.org/W3131163951","doi":"https://doi.org/10.1109/tkde.2021.3060037","mag":"3131163951"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3060037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3060037","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":"article","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/A5060956246","display_name":"Yuguang Yan","orcid":"https://orcid.org/0000-0001-9879-4758"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuguang Yan","raw_affiliation_strings":["Department of Mathematics, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-9879-4758","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089907983","display_name":"Hanrui Wu","orcid":"https://orcid.org/0000-0003-3565-6635"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hanrui Wu","raw_affiliation_strings":["Department of Mathematics, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3565-6635","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065655887","display_name":"Yuzhong Ye","orcid":"https://orcid.org/0000-0003-1033-2482"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhong Ye","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China","Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019293246","display_name":"Chaoyang Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Bi","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China","Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013361746","display_name":"Min Lu","orcid":"https://orcid.org/0000-0001-7503-1301"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Lu","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325848","display_name":"Dapeng Liu","orcid":"https://orcid.org/0009-0003-2973-9167"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Liu","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023130798","display_name":"Qingyao Wu","orcid":"https://orcid.org/0000-0002-6771-3932"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyao Wu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China","Pazhou Laboratory, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6771-3932","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael K. Ng","raw_affiliation_strings":["Department of Mathematics, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-6833-5227","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91044732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"34","issue":"11","first_page":"5536","last_page":"5551"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11243","display_name":"Respiratory viral infections research","score":0.9341999888420105,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8465563058853149},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8422854542732239},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7392152547836304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6805052757263184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6433660387992859},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6388390064239502},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5554510354995728},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5474361777305603},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5095391869544983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4795481860637665},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4509989619255066},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43414968252182007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3837592601776123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8465563058853149},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8422854542732239},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7392152547836304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6805052757263184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6433660387992859},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6388390064239502},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5554510354995728},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5474361777305603},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5095391869544983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4795481860637665},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4509989619255066},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43414968252182007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3837592601776123},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3060037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3060037","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G8057997982","display_name":null,"funder_award_id":"61876208","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":88,"referenced_works":["https://openalex.org/W143806433","https://openalex.org/W1594039573","https://openalex.org/W1722318740","https://openalex.org/W1731081199","https://openalex.org/W1897801518","https://openalex.org/W1982696459","https://openalex.org/W2005650084","https://openalex.org/W2008635359","https://openalex.org/W2013988526","https://openalex.org/W2057266281","https://openalex.org/W2062518264","https://openalex.org/W2087977130","https://openalex.org/W2093071370","https://openalex.org/W2096943734","https://openalex.org/W2099501835","https://openalex.org/W2100664256","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2118585731","https://openalex.org/W2122838776","https://openalex.org/W2125865219","https://openalex.org/W2131101925","https://openalex.org/W2134670261","https://openalex.org/W2149466042","https://openalex.org/W2150846797","https://openalex.org/W2159570078","https://openalex.org/W2163345210","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2165966284","https://openalex.org/W2169067611","https://openalex.org/W2170607218","https://openalex.org/W2188582259","https://openalex.org/W2194775991","https://openalex.org/W2212983101","https://openalex.org/W2326887180","https://openalex.org/W2341914330","https://openalex.org/W2422697180","https://openalex.org/W2568148245","https://openalex.org/W2588646734","https://openalex.org/W2593768305","https://openalex.org/W2602480929","https://openalex.org/W2605370493","https://openalex.org/W2616287544","https://openalex.org/W2740361506","https://openalex.org/W2744915377","https://openalex.org/W2789767547","https://openalex.org/W2808408933","https://openalex.org/W2810522164","https://openalex.org/W2888851832","https://openalex.org/W2889945482","https://openalex.org/W2897086142","https://openalex.org/W2897536120","https://openalex.org/W2897819140","https://openalex.org/W2923769473","https://openalex.org/W2939571759","https://openalex.org/W2963037330","https://openalex.org/W2963275094","https://openalex.org/W2964099118","https://openalex.org/W2964285681","https://openalex.org/W2969312509","https://openalex.org/W2976933962","https://openalex.org/W2981401872","https://openalex.org/W2981630749","https://openalex.org/W3046682702","https://openalex.org/W3047770672","https://openalex.org/W4206471589","https://openalex.org/W4232262564","https://openalex.org/W4233762729","https://openalex.org/W6600017260","https://openalex.org/W6607266775","https://openalex.org/W6637154279","https://openalex.org/W6637618735","https://openalex.org/W6638894083","https://openalex.org/W6639480849","https://openalex.org/W6674764686","https://openalex.org/W6677656871","https://openalex.org/W6677741084","https://openalex.org/W6679384483","https://openalex.org/W6680922216","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6684149856","https://openalex.org/W6688591247","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6732398393","https://openalex.org/W6737976933"],"related_works":["https://openalex.org/W2970216048","https://openalex.org/W2285052147","https://openalex.org/W2806866760","https://openalex.org/W2515280043","https://openalex.org/W3035557009","https://openalex.org/W3010923102","https://openalex.org/W4221162086","https://openalex.org/W2341113105","https://openalex.org/W2546942002","https://openalex.org/W2345184372"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1],"aims":[2],"at":[3],"extracting":[4],"knowledge":[5],"from":[6],"auxiliary":[7],"source":[8,27,35,68,84,123],"domains":[9,30,71],"to":[10,37,113,144,167,184],"assist":[11],"the":[12,23,26,42,47,51,67,76,83,92,96,122,130,135,146,154,170,186,197,200],"learning":[13,93,162,188],"task":[14],"in":[15,55,95,105],"a":[16,39,115,128,159],"target":[17,29,43,52,70,97,125],"domain.":[18,98],"In":[19,108],"classification":[20,48],"problems,":[21],"since":[22],"distributions":[24],"of":[25,199],"and":[28,69,124,173],"are":[31,64],"different,":[32],"directly":[33],"using":[34],"data":[36,85,194],"build":[38],"classifier":[40],"for":[41,150,177],"domain":[44,131,171],"may":[45,90],"hamper":[46],"performance":[49,94],"on":[50,134,192],"data.":[53],"Fortunately,":[54],"many":[56],"tasks,":[57],"there":[58],"can":[59,138],"be":[60,139],"some":[61],"features":[62,88,137,149,176],"that":[63,82,118,164],"transferable,":[65],"i.e.,":[66],"share":[72],"similar":[73],"properties.":[74],"On":[75],"other":[77],"hand,":[78],"it":[79],"is":[80,102,119,165],"common":[81],"contain":[86],"noisy":[87],"which":[89],"degrade":[91],"This":[99],"issue,":[100],"however,":[101],"barely":[103],"studied":[104],"existing":[106],"works.":[107],"this":[109],"paper,":[110],"we":[111,142,157],"propose":[112],"find":[114,145],"feature":[116],"subset":[117],"transferable":[120],"across":[121],"domains.":[126],"As":[127],"result,":[129],"discrepancy":[132,172],"measured":[133],"selected":[136],"reduced.":[140],"Moreover,":[141],"seek":[143],"most":[147],"discriminative":[148],"classification.":[151,178],"To":[152],"achieve":[153],"above":[155],"goals,":[156],"formulate":[158],"new":[160],"sparse":[161],"model":[163],"able":[166],"jointly":[168],"reduce":[169],"select":[174],"informative":[175],"We":[179],"develop":[180],"two":[181],"optimization":[182],"algorithms":[183],"address":[185],"derived":[187],"problem.":[189],"Extensive":[190],"experiments":[191],"real-world":[193],"sets":[195],"demonstrate":[196],"effectiveness":[198],"proposed":[201],"method.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}