{"id":"https://openalex.org/W4320024248","doi":"https://doi.org/10.1109/bigdata55660.2022.10020944","title":"Adaptive Knowledge Transfer on Evolving Domains","display_name":"Adaptive Knowledge Transfer on Evolving Domains","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024248","doi":"https://doi.org/10.1109/bigdata55660.2022.10020944"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020944","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020944","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5100702646","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0002-1512-524X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Wu","raw_affiliation_strings":["University of Illinois,Urbana-Champaign","University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["University of Illinois,Urbana-Champaign","University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090807521","display_name":"Elizabeth A. Ainsworth","orcid":"https://orcid.org/0000-0002-3199-8999"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth Ainsworth","raw_affiliation_strings":["University of Illinois,Urbana-Champaign","University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073158087","display_name":"Jingrui He","orcid":"https://orcid.org/0000-0002-6429-6272"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingrui He","raw_affiliation_strings":["University of Illinois,Urbana-Champaign","University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois,Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100702646"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.1036,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35642811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1389","last_page":"1394"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.984000027179718,"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":0.9776999950408936,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.8389891386032104},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7293531894683838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050077319145203},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6113141775131226},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5538538694381714},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.49929046630859375},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.4705928564071655},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.45871594548225403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4367067217826843},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.41819262504577637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41594797372817993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28193241357803345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17939576506614685},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07245028018951416}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.8389891386032104},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7293531894683838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050077319145203},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6113141775131226},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5538538694381714},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.49929046630859375},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.4705928564071655},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.45871594548225403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4367067217826843},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.41819262504577637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41594797372817993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28193241357803345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17939576506614685},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07245028018951416},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020944","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020944","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332299","display_name":"National Institute of Food and Agriculture","ror":"https://ror.org/05qx3fv49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1617650991","https://openalex.org/W1731081199","https://openalex.org/W1805361780","https://openalex.org/W2005295545","https://openalex.org/W2034368206","https://openalex.org/W2104094955","https://openalex.org/W2108501770","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2567154847","https://openalex.org/W2621504451","https://openalex.org/W2912280829","https://openalex.org/W2912410476","https://openalex.org/W2920306970","https://openalex.org/W2937019265","https://openalex.org/W2946965516","https://openalex.org/W2966836724","https://openalex.org/W2980113592","https://openalex.org/W3035000591","https://openalex.org/W3040216392","https://openalex.org/W3106342630","https://openalex.org/W3167625069","https://openalex.org/W4225737985","https://openalex.org/W6636267554","https://openalex.org/W6637618735","https://openalex.org/W6675944832","https://openalex.org/W6683633756","https://openalex.org/W6684207430","https://openalex.org/W6758248578","https://openalex.org/W6758833332","https://openalex.org/W6759625057","https://openalex.org/W6761139768","https://openalex.org/W6773992155","https://openalex.org/W6779253770","https://openalex.org/W6785863203","https://openalex.org/W6796344290","https://openalex.org/W6810354620"],"related_works":["https://openalex.org/W3208095355","https://openalex.org/W2177370417","https://openalex.org/W2052507016","https://openalex.org/W2180461068","https://openalex.org/W2051816080","https://openalex.org/W3201126466","https://openalex.org/W4310813911","https://openalex.org/W2156730189","https://openalex.org/W2358962854","https://openalex.org/W2392266266"],"abstract_inverted_index":{"In":[0],"this":[1,51],"paper,":[2],"we":[3,53,70],"study":[4],"the":[5,29,34,38,43,60,77,116,124],"dynamic":[6,104],"transfer":[7,13,105],"learning":[8,106],"problem":[9],"involving":[10],"adaptive":[11],"knowledge":[12],"from":[14],"a":[15,20,55,72,102],"static":[16],"source":[17,35],"domain":[18,36,41,45,63,66],"to":[19,75,100],"time":[21,30,125],"evolving":[22,31,126],"target":[23,40,44,62,127],"domain.":[24,128],"One":[25],"major":[26],"challenge":[27],"is":[28],"relatedness":[32],"of":[33,79,118],"and":[37,86],"current":[39,61],"as":[42],"evolves":[46],"over":[47],"time.":[48],"To":[49],"address":[50],"challenge,":[52],"derive":[54],"generic":[56],"error":[57,94],"bound":[58,95],"on":[59,111],"with":[64,96],"flexible":[65],"discrepancy":[67],"measures.":[68],"Moreover,":[69],"propose":[71],"label-informed":[73],"$\\mathcal{C}$-divergence":[74,97],"measure":[76],"shift":[78],"joint":[80],"data":[81,113],"distributions":[82],"(over":[83],"input":[84],"features":[85],"output":[87],"labels)":[88],"across":[89],"domains.":[90],"The":[91],"resulting":[92],"tighter":[93],"motivates":[98],"us":[99],"develop":[101],"novel":[103],"algorithm":[107,121],"TransLATE.":[108],"Empirical":[109],"results":[110],"various":[112],"sets":[114],"confirm":[115],"effectiveness":[117],"our":[119],"proposed":[120],"in":[122],"modeling":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
