{"id":"https://openalex.org/W2947733970","doi":"https://doi.org/10.1145/3309537","title":"Online Heterogeneous Transfer Learning by Knowledge Transition","display_name":"Online Heterogeneous Transfer Learning by Knowledge Transition","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2947733970","doi":"https://doi.org/10.1145/3309537","mag":"2947733970"},"language":"en","primary_location":{"id":"doi:10.1145/3309537","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3309537","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","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/A5089907983","display_name":"Hanrui Wu","orcid":"https://orcid.org/0000-0003-3565-6635"},"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":"Hanrui Wu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3565-6635","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060956246","display_name":"Yuguang Yan","orcid":"https://orcid.org/0000-0001-9879-4758"},"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":"Yuguang Yan","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9879-4758","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"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/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":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041506521","display_name":"Huaqing Min","orcid":"https://orcid.org/0000-0003-3763-2856"},"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":"Huaqing Min","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael K. Ng","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102851014","display_name":"Qingyao Wu","orcid":"https://orcid.org/0000-0002-8564-7289"},"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":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8564-7289","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6826,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.92207771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"1","last_page":"19"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9866999983787537,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9776999950408936,"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":0.8864123821258545},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7433095574378967},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.6781710386276245},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6537277102470398},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5671049356460571},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5618734359741211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517129123210907},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4879171550273895},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4762982428073883},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4699934422969818},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4429640471935272},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4271719753742218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4245138168334961},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4161664843559265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3721631169319153},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09307083487510681}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8864123821258545},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7433095574378967},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.6781710386276245},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6537277102470398},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5671049356460571},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5618734359741211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517129123210907},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4879171550273895},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4762982428073883},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4699934422969818},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4429640471935272},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4271719753742218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4245138168334961},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4161664843559265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3721631169319153},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09307083487510681},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3309537","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3309537","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":34,"referenced_works":["https://openalex.org/W1490960179","https://openalex.org/W1527369603","https://openalex.org/W1570963478","https://openalex.org/W1985697265","https://openalex.org/W1988790447","https://openalex.org/W1991207565","https://openalex.org/W2005650084","https://openalex.org/W2005811099","https://openalex.org/W2007972815","https://openalex.org/W2040870580","https://openalex.org/W2048679005","https://openalex.org/W2057408422","https://openalex.org/W2059929438","https://openalex.org/W2075728230","https://openalex.org/W2099971677","https://openalex.org/W2103024562","https://openalex.org/W2104094955","https://openalex.org/W2104554891","https://openalex.org/W2122537498","https://openalex.org/W2122838776","https://openalex.org/W2125263373","https://openalex.org/W2153635508","https://openalex.org/W2165698076","https://openalex.org/W2167706101","https://openalex.org/W2247638151","https://openalex.org/W2276885704","https://openalex.org/W2418667810","https://openalex.org/W2521689864","https://openalex.org/W2572414115","https://openalex.org/W2602480929","https://openalex.org/W2762270358","https://openalex.org/W3005526581","https://openalex.org/W3009009611","https://openalex.org/W4210592990"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W2798423868","https://openalex.org/W1554561885","https://openalex.org/W3035097673","https://openalex.org/W4287800519","https://openalex.org/W2530675634","https://openalex.org/W3022333975","https://openalex.org/W2250623963","https://openalex.org/W4392918422","https://openalex.org/W4384786634"],"abstract_inverted_index":{"In":[0,129],"this":[1,75,127],"article,":[2],"we":[3,77,131],"study":[4],"the":[5,13,48,57,66,70,90,100,104,139,144,157,162,175,180],"problem":[6],"of":[7,47,80,179],"online":[8,27,111,152],"heterogeneous":[9,36,112],"transfer":[10,113],"learning,":[11],"where":[12],"objective":[14],"is":[15],"to":[16,64,88,134,155],"make":[17],"predictions":[18],"for":[19,126,138],"a":[20,35,109],"target":[21,51,71,93,105,158],"data":[22,59,87,141,164,172],"sequence":[23,159],"arriving":[24],"in":[25,69],"an":[26,151],"fashion,":[28],"and":[29,50,92,95,148,177],"some":[30],"offline":[31],"labeled":[32,145],"instances":[33,83],"from":[34,99],"source":[37,49,58,91,101,146],"domain":[38,102],"are":[39,53],"provided":[40],"as":[41,84],"auxiliary":[42],"data.":[43],"The":[44],"feature":[45],"spaces":[46],"domains":[52],"completely":[54],"different,":[55],"thus":[56],"cannot":[60],"be":[61],"used":[62],"directly":[63],"assist":[65],"learning":[67,114,153],"task":[68],"domain.":[72,106],"To":[73],"address":[74],"issue,":[76],"take":[78],"advantage":[79],"unlabeled":[81],"co-occurrence":[82,140,163],"intermediate":[85],"supplementary":[86],"connect":[89],"domains,":[94],"perform":[96],"knowledge":[97],"transition":[98],"into":[103],"We":[107],"propose":[108],"novel":[110],"algorithm":[115,154],"called":[116],"O":[117],"nline":[118],"H":[119],"eterogeneous":[120],"K":[121],"nowledge":[122],"T":[123],"ransition":[124],"(OHKT)":[125],"purpose.":[128],"OHKT,":[130],"first":[132],"seek":[133],"generate":[135],"pseudo":[136,166],"labels":[137],"based":[142],"on":[143,170],"data,":[147],"then":[149],"develop":[150],"classify":[156],"by":[160],"leveraging":[161],"with":[165],"labels.":[167],"Experimental":[168],"results":[169],"real-world":[171],"sets":[173],"demonstrate":[174],"effectiveness":[176],"efficiency":[178],"proposed":[181],"algorithm.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}