{"id":"https://openalex.org/W4401537059","doi":"https://doi.org/10.1109/tbdata.2024.3442562","title":"Domain Adaptation for Label Distribution Learning","display_name":"Domain Adaptation for Label Distribution Learning","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4401537059","doi":"https://doi.org/10.1109/tbdata.2024.3442562"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3442562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3442562","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","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":null,"display_name":"Haitao Wu","orcid":"https://orcid.org/0009-0006-4537-282X"},"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":"Haitao Wu","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-4537-282X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476564","display_name":"Weiwei Li","orcid":"https://orcid.org/0000-0001-7811-4719"},"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":"Weiwei Li","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7811-4719","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072069474","display_name":"Xiuyi Jia","orcid":"https://orcid.org/0000-0002-9879-9855"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyi Jia","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9879-9855","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9164,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7886078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"3","first_page":"1221","last_page":"1234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9664999842643738,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9664999842643738,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9261000156402588,"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/T11309","display_name":"Music and Audio Processing","score":0.9146999716758728,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8109010457992554},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6346412897109985},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5782716274261475},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.432840496301651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41509705781936646},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.41154155135154724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32446759939193726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07877954840660095},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06897145509719849},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.06479686498641968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109010457992554},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6346412897109985},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5782716274261475},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.432840496301651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41509705781936646},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.41154155135154724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32446759939193726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07877954840660095},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06897145509719849},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.06479686498641968},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3442562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3442562","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1216116233","display_name":null,"funder_award_id":"61906090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2484870499","display_name":null,"funder_award_id":"62176123","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":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1545641654","https://openalex.org/W1916279783","https://openalex.org/W1938632290","https://openalex.org/W1974387747","https://openalex.org/W2005126631","https://openalex.org/W2014713986","https://openalex.org/W2066454034","https://openalex.org/W2099971677","https://openalex.org/W2106115875","https://openalex.org/W2115403315","https://openalex.org/W2122838776","https://openalex.org/W2137306662","https://openalex.org/W2150926065","https://openalex.org/W2330485005","https://openalex.org/W2478454054","https://openalex.org/W2604773025","https://openalex.org/W2740468505","https://openalex.org/W2741457358","https://openalex.org/W2786808285","https://openalex.org/W2807904173","https://openalex.org/W2902200737","https://openalex.org/W2905064233","https://openalex.org/W2962769166","https://openalex.org/W2963118547","https://openalex.org/W2963327260","https://openalex.org/W2965880440","https://openalex.org/W2976049311","https://openalex.org/W3034504038","https://openalex.org/W3035752139","https://openalex.org/W3092609815","https://openalex.org/W3096840866","https://openalex.org/W3128863327","https://openalex.org/W3187047110","https://openalex.org/W3192028758","https://openalex.org/W3195648067","https://openalex.org/W4206835157","https://openalex.org/W4285223701","https://openalex.org/W4312303088","https://openalex.org/W4323642664","https://openalex.org/W4382318697","https://openalex.org/W4384304527","https://openalex.org/W4386596839","https://openalex.org/W4387968119","https://openalex.org/W4389104894","https://openalex.org/W6607976765","https://openalex.org/W6631190155","https://openalex.org/W6636267554","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6684489972","https://openalex.org/W6732517885","https://openalex.org/W6750109254","https://openalex.org/W6761139768","https://openalex.org/W6763122499","https://openalex.org/W6793289451","https://openalex.org/W6796263041"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Label":[0],"distribution":[1,84],"learning":[2],"(LDL)":[3],"suffers":[4],"from":[5,93],"the":[6,35,40,107,112,137,145],"dilemma":[7],"of":[8,31,99,111,139],"insufficient":[9],"target":[10,102],"data":[11],"in":[12,65,132],"real-world":[13],"applications,":[14],"while":[15],"domain":[16,80],"adaptation":[17,81],"(DA)":[18],"seems":[19],"to":[20,23,39,47,51,78,125],"be":[21],"able":[22],"provide":[24],"a":[25,74,89],"solution.":[26],"However,":[27],"most":[28],"existing":[29,121],"methods":[30,60,123],"DA,":[32],"assuming":[33],"that":[34,55,118],"instances":[36],"can":[37],"correspond":[38],"explicit":[41],"class":[42],"information,":[43],"are":[44],"devoted":[45],"only":[46],"classification":[48],"but":[49],"not":[50],"LDL.":[52,135,151],"We":[53],"argue":[54],"indiscriminately":[56],"applying":[57],"such":[58],"DA":[59,122,133,149],"might":[61],"cause":[62],"performance":[63],"degradation":[64],"LDL":[66],"tasks.":[67],"In":[68],"this":[69,142],"paper,":[70],"we":[71],"propose":[72],"LDL-DA,":[73],"novel":[75],"algorithm":[76],"dedicated":[77],"supervised":[79,101],"for":[82,134,150],"label":[83,114],"learning,":[85],"which":[86],"jointly":[87],"learns":[88],"shared":[90],"encoding":[91],"representation":[92],"two":[94],"aspects:":[95],"1)":[96],"contrastive":[97],"alignment":[98],"scarce":[100],"data,":[103],"and":[104,127],"2)":[105],"minimizing":[106],"distance":[108],"between":[109],"prototypes":[110],"same":[113],"combination.":[115],"Experiments":[116],"show":[117],"LDL-DA":[119],"outperforms":[120],"adapted":[124],"LDL,":[126],"provides":[128],"early":[129],"positive":[130],"results":[131],"To":[136],"best":[138],"our":[140],"knowledge,":[141],"paper":[143],"is":[144],"first":[146],"research":[147],"on":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}