{"id":"https://openalex.org/W3027936473","doi":"https://doi.org/10.1109/tcyb.2020.2988277","title":"Transfer Learning Under Conditional Shift Based on Fuzzy Residual","display_name":"Transfer Learning Under Conditional Shift Based on Fuzzy Residual","publication_year":2020,"publication_date":"2020-05-20","ids":{"openalex":"https://openalex.org/W3027936473","doi":"https://doi.org/10.1109/tcyb.2020.2988277","mag":"3027936473","pmid":"https://pubmed.ncbi.nlm.nih.gov/32452783"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2988277","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2988277","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221036/9714899/09097377.pdf","source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221036/9714899/09097377.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084648033","display_name":"Gengxiang Chen","orcid":"https://orcid.org/0000-0003-0595-8923"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengxiang Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0595-8923","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044046297","display_name":"Yingguang Li","orcid":"https://orcid.org/0000-0003-4425-8073"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingguang Li","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4425-8073","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Helicopter Transmission, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331723","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0003-0487-7267"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8766,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88472121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"52","issue":"2","first_page":"960","last_page":"970"},"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":0.9988999962806702,"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":0.9988999962806702,"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":0.9918000102043152,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9690999984741211,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7035440802574158},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6315434575080872},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.624990701675415},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5917036533355713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868167877197266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5648607015609741},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.46984997391700745},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4323578178882599},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4163743555545807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37434008717536926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2320459485054016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035440802574158},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6315434575080872},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.624990701675415},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5917036533355713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868167877197266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5648607015609741},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.46984997391700745},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4323578178882599},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4163743555545807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37434008717536926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2320459485054016},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.2988277","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2988277","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221036/9714899/09097377.pdf","source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:32452783","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32452783","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 cybernetics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/tcyb.2020.2988277","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2988277","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221036/9714899/09097377.pdf","source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4154982993","display_name":null,"funder_award_id":"51605217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7978459430","display_name":null,"funder_award_id":"51925505","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G878649478","display_name":null,"funder_award_id":"U1537209","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3027936473.pdf","grobid_xml":"https://content.openalex.org/works/W3027936473.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1640718925","https://openalex.org/W1830873897","https://openalex.org/W1964494592","https://openalex.org/W2062291443","https://openalex.org/W2079325629","https://openalex.org/W2080404350","https://openalex.org/W2096943734","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2116753079","https://openalex.org/W2122838776","https://openalex.org/W2122922389","https://openalex.org/W2148522164","https://openalex.org/W2151134010","https://openalex.org/W2162651021","https://openalex.org/W2165698076","https://openalex.org/W2244109919","https://openalex.org/W2343174050","https://openalex.org/W2395579298","https://openalex.org/W2489955119","https://openalex.org/W2505714040","https://openalex.org/W2509599246","https://openalex.org/W2557279148","https://openalex.org/W2562741369","https://openalex.org/W2605953417","https://openalex.org/W2735700496","https://openalex.org/W2767216538","https://openalex.org/W2801477643","https://openalex.org/W2884001105","https://openalex.org/W2884771968","https://openalex.org/W2889945482","https://openalex.org/W2898125438","https://openalex.org/W2900529838","https://openalex.org/W2907059569","https://openalex.org/W2919115771","https://openalex.org/W2938021361","https://openalex.org/W2980113592","https://openalex.org/W2989279711","https://openalex.org/W3017133192","https://openalex.org/W4297804183","https://openalex.org/W6678543856","https://openalex.org/W6681554241","https://openalex.org/W6682095809","https://openalex.org/W6682658890","https://openalex.org/W6732635456","https://openalex.org/W6734837414","https://openalex.org/W6742093626"],"related_works":["https://openalex.org/W4308262314","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W3021430260","https://openalex.org/W4281645081","https://openalex.org/W4312200629","https://openalex.org/W4317565044","https://openalex.org/W4362719745","https://openalex.org/W3015887428"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,36,70],"has":[2,8],"received":[3],"much":[4],"attention":[5],"recently":[6],"and":[7,49,109,151],"been":[9],"proven":[10],"to":[11,104,132,155],"be":[12],"effective":[13],"in":[14,90],"a":[15,65,91,105,142,148],"wide":[16],"range":[17],"of":[18,43,86,114,144,159],"applications,":[19],"whereas":[20],"studies":[21],"on":[22,33,72,147],"regression":[23,39],"problems":[24],"are":[25,125],"still":[26],"scarce.":[27],"In":[28],"this":[29],"article,":[30],"we":[31,95,140],"focus":[32],"the":[34,41,47,53,78,83,87,97,111,115,157,160],"transfer":[35,69],"problem":[37],"for":[38,122,127],"under":[40],"situations":[42],"conditional":[44,60],"shift":[45],"where":[46],"source":[48,88,107,116],"target":[50,79,98],"domains":[51],"share":[52],"same":[54],"marginal":[55],"distribution":[56,84],"while":[57],"having":[58],"different":[59,128],"probability":[61],"distributions.":[62],"We":[63],"propose":[64],"new":[66],"framework":[67],"called":[68,136],"based":[71],"fuzzy":[73,102,117],"residual":[74,103],"(ResTL)":[75],"which":[76,130],"learns":[77],"model":[80,99,108],"by":[81,100],"preserving":[82],"properties":[85],"data":[89],"model-agnostic":[92,106],"way.":[93],"First,":[94],"formulate":[96],"adding":[101],"reuse":[110],"antecedent":[112],"parameters":[113],"system.":[118],"Then":[119],"two":[120,133],"methods":[121,135],"bias":[123],"computation":[124],"provided":[126],"considerations,":[129],"refer":[131],"ResTL":[134],"ResTLLSand":[137],"ResTLRD.":[138],"Finally,":[139],"conduct":[141],"series":[143],"experiments":[145],"both":[146],"toy":[149],"example":[150],"several":[152],"real-world":[153],"datasets":[154],"verify":[156],"effectiveness":[158],"proposed":[161],"method.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
