{"id":"https://openalex.org/W3155499466","doi":"https://doi.org/10.1109/tnnls.2021.3070085","title":"Prototype-Based Multisource Domain Adaptation","display_name":"Prototype-Based Multisource Domain Adaptation","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3155499466","doi":"https://doi.org/10.1109/tnnls.2021.3070085","mag":"3155499466","pmid":"https://pubmed.ncbi.nlm.nih.gov/33852394"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3070085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070085","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/A5005026076","display_name":"Lihua Zhou","orcid":"https://orcid.org/0000-0003-0370-3337"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0370-3337","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4760-8702","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085324835","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0001-7429-3609"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-3609","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7607-707X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036253906","display_name":"Luping Ji","orcid":"https://orcid.org/0000-0002-1200-5218"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luping Ji","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1200-5218","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":3.3887,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93368921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"33","issue":"10","first_page":"5308","last_page":"5320"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9456999897956848,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9222999811172485,"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":0.7156697511672974},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6924644708633423},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6237574219703674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5842524170875549},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5342993140220642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5275599360466003},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5194122791290283},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4904186427593231},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45844152569770813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1234828531742096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156697511672974},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6924644708633423},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6237574219703674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5842524170875549},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5342993140220642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5275599360466003},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5194122791290283},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4904186427593231},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45844152569770813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1234828531742096},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3070085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070085","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:33852394","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33852394","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":[],"awards":[{"id":"https://openalex.org/G3743379004","display_name":null,"funder_award_id":"2018YFE0203900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3846532583","display_name":"\u9762\u5411\u56fe\u50cf\u7279\u5f81\u5b66\u4e60\u7684\u7ec6\u80de\u795e\u7ecf\u7f51\u7edc\u5f31\u6df1\u5ea6\u6a21\u578b\u7814\u7a76","funder_award_id":"61972072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7605923862","display_name":null,"funder_award_id":"61773093","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1535617388","https://openalex.org/W1722318740","https://openalex.org/W1978920452","https://openalex.org/W1981658663","https://openalex.org/W2031342017","https://openalex.org/W2060300932","https://openalex.org/W2069057437","https://openalex.org/W2069446074","https://openalex.org/W2096943734","https://openalex.org/W2100659887","https://openalex.org/W2104094955","https://openalex.org/W2112796928","https://openalex.org/W2115403315","https://openalex.org/W2117539524","https://openalex.org/W2122084318","https://openalex.org/W2149466042","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2557626841","https://openalex.org/W2592737629","https://openalex.org/W2593768305","https://openalex.org/W2627183927","https://openalex.org/W2735735104","https://openalex.org/W2799012717","https://openalex.org/W2801477643","https://openalex.org/W2884771968","https://openalex.org/W2892946488","https://openalex.org/W2893630558","https://openalex.org/W2904209271","https://openalex.org/W2955547856","https://openalex.org/W2962793481","https://openalex.org/W2963240485","https://openalex.org/W2963275094","https://openalex.org/W2963506806","https://openalex.org/W2963709863","https://openalex.org/W2963767194","https://openalex.org/W2963993484","https://openalex.org/W2964099118","https://openalex.org/W2966145398","https://openalex.org/W2966588426","https://openalex.org/W2973077827","https://openalex.org/W2981720610","https://openalex.org/W2982204955","https://openalex.org/W2986381065","https://openalex.org/W2998115938","https://openalex.org/W2998705539","https://openalex.org/W2999918589","https://openalex.org/W3005485628","https://openalex.org/W3016393114","https://openalex.org/W3018638193","https://openalex.org/W3034218934","https://openalex.org/W3080610273","https://openalex.org/W3123893741","https://openalex.org/W6637618735","https://openalex.org/W6639480849","https://openalex.org/W6679051630","https://openalex.org/W6680688123","https://openalex.org/W6682132143","https://openalex.org/W6683633756","https://openalex.org/W6687400500","https://openalex.org/W6695692224","https://openalex.org/W6703116779","https://openalex.org/W6713955831","https://openalex.org/W6720691552","https://openalex.org/W6726497184","https://openalex.org/W6746282794","https://openalex.org/W6750109254","https://openalex.org/W6751635369","https://openalex.org/W6754770232","https://openalex.org/W6761687776","https://openalex.org/W6763066025","https://openalex.org/W6773992155","https://openalex.org/W6774365779"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W4389474468","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318","https://openalex.org/W3204418343","https://openalex.org/W4312617661"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,10,17,58,121,164,218,232],"adaptation":[2,18],"aims":[3],"to":[4,11,22,66,75,85,91,130,177,262],"transfer":[5,67],"knowledge":[6,37],"from":[7,72,96,224],"labeled":[8],"source":[9,33,73,87,148,225,243],"unlabeled":[12],"target":[13,57,76,89,150,206,231,245],"domain.":[14,77,207],"Recently,":[15],"multisource":[16],"(MDA)":[19],"has":[20,59],"begun":[21],"attract":[23],"attention.":[24],"Its":[25],"performance":[26],"should":[27],"go":[28],"beyond":[29],"simply":[30],"mixing":[31],"all":[32,147,183,242],"domains":[34,74,90,151,226,246],"together":[35],"for":[36,48,51,146,182,254],"transfer.":[38],"In":[39,192,239],"this":[40],"article,":[41],"we":[42,62],"propose":[43],"a":[44,79,127,202],"novel":[45],"prototype-based":[46],"method":[47],"MDA.":[49],"Specifically,":[50],"solving":[52],"the":[53,56,64,68,93,98,115,131,138,143,156,162,172,178,185,193,195,205,213,220,230,235,251,263,275],"problem":[54],"that":[55,211],"no":[60],"label,":[61],"use":[63],"prototype":[65,128],"semantic":[69,221],"category":[70,222],"information":[71,223],"First,":[78],"feature":[80,133,139,158,186,252],"extraction":[81,187],"network":[82,188],"is":[83,135,189,210,227],"applied":[84],"both":[86],"and":[88,101,120,149,166,217,244,258],"obtain":[92],"extracted":[94,132,157,173],"features":[95,100,103,174,257,261],"which":[97],"domain-invariant":[99,256],"domain-specific":[102],"will":[104],"be":[105,153],"disentangled.":[106],"Then,":[107],"based":[108,160],"on":[109,161,269],"these":[110],"two":[111],"kinds":[112],"of":[113,277],"features,":[114],"named":[116],"inherent":[117,167,196,214],"class":[118,144,168,180,197,215,237,264],"prototypes":[119,122,145,165,181,198,216],"are":[123,175,199,247],"estimated,":[124],"respectively.":[125,266],"Then":[126],"mapping":[129],"space":[134,159],"learned":[136],"in":[137,155,204],"reconstruction":[140],"process.":[141],"Thus,":[142],"can":[152],"constructed":[154],"previous":[163],"prototypes.":[169,238],"By":[170],"forcing":[171],"close":[176],"corresponding":[179,236],"domains,":[184],"progressively":[190],"adjusted.":[191],"end,":[194],"used":[200],"as":[201],"classifier":[203],"Our":[208],"contribution":[209],"through":[212],"prototypes,":[219,265],"transformed":[228],"into":[229],"by":[233],"constructing":[234],"our":[240,278],"method,":[241],"aligned":[248],"twice":[249],"at":[250],"level":[253],"better":[255],"more":[259],"closer":[260],"Several":[267],"experiments":[268],"public":[270],"data":[271],"sets":[272],"also":[273],"prove":[274],"effectiveness":[276],"method.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
