{"id":"https://openalex.org/W4289922498","doi":"https://doi.org/10.1109/tai.2022.3196813","title":"Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder","display_name":"Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4289922498","doi":"https://doi.org/10.1109/tai.2022.3196813"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2022.3196813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3196813","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5009184834","display_name":"Yi Zhu","orcid":"https://orcid.org/0000-0003-3045-2588"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Zhu","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3045-2588","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering With Big Data (Ministry of Education of China), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-1704","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering With Big Data (Ministry of Education of China), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062724090","display_name":"Jipeng Qiang","orcid":"https://orcid.org/0000-0001-5721-0293"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Qiang","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5721-0293","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068734315","display_name":"Yun-Hao Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Yuan","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009184834"],"corresponding_institution_ids":["https://openalex.org/I78978612"],"apc_list":null,"apc_paid":null,"fwci":1.526,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85370244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"4","issue":"5","first_page":"1293","last_page":"1304"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9175999760627747,"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":0.9160000085830688,"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/autoencoder","display_name":"Autoencoder","score":0.835966944694519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210193872451782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6841729879379272},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6314391493797302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5372616648674011},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5224734544754028},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5048611760139465},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.465488076210022},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.46013087034225464},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.44759565591812134},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4266171455383301},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4157754182815552},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38527733087539673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3367007374763489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15617987513542175},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.14631879329681396}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.835966944694519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210193872451782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6841729879379272},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6314391493797302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5372616648674011},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5224734544754028},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5048611760139465},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.465488076210022},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.46013087034225464},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.44759565591812134},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4266171455383301},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4157754182815552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38527733087539673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3367007374763489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15617987513542175},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.14631879329681396},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2022.3196813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3196813","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3595099704","display_name":null,"funder_award_id":"62076217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G689498129","display_name":null,"funder_award_id":"61906060","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":62,"referenced_works":["https://openalex.org/W1546411676","https://openalex.org/W2096873754","https://openalex.org/W2100664256","https://openalex.org/W2115403315","https://openalex.org/W2131953535","https://openalex.org/W2150579495","https://openalex.org/W2153635508","https://openalex.org/W2165698076","https://openalex.org/W2187523974","https://openalex.org/W2261310161","https://openalex.org/W2279034837","https://openalex.org/W2341914330","https://openalex.org/W2440599146","https://openalex.org/W2507319753","https://openalex.org/W2557865186","https://openalex.org/W2577325523","https://openalex.org/W2627183927","https://openalex.org/W2753556039","https://openalex.org/W2766328202","https://openalex.org/W2786532017","https://openalex.org/W2786808285","https://openalex.org/W2788769393","https://openalex.org/W2797000751","https://openalex.org/W2804211749","https://openalex.org/W2884561390","https://openalex.org/W2888473984","https://openalex.org/W2890479120","https://openalex.org/W2937019265","https://openalex.org/W2963519194","https://openalex.org/W2963691377","https://openalex.org/W2964278684","https://openalex.org/W2964285681","https://openalex.org/W2965581080","https://openalex.org/W2971067726","https://openalex.org/W2978573218","https://openalex.org/W2997574889","https://openalex.org/W3000097396","https://openalex.org/W3009397657","https://openalex.org/W3014788410","https://openalex.org/W3018638193","https://openalex.org/W3034688404","https://openalex.org/W3035724871","https://openalex.org/W3099887033","https://openalex.org/W3104836326","https://openalex.org/W3119686825","https://openalex.org/W3128863327","https://openalex.org/W3132755470","https://openalex.org/W3135939397","https://openalex.org/W3136386055","https://openalex.org/W3194540271","https://openalex.org/W3206558844","https://openalex.org/W4231109964","https://openalex.org/W6632670727","https://openalex.org/W6674764686","https://openalex.org/W6681096077","https://openalex.org/W6682460502","https://openalex.org/W6692729736","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6730042849","https://openalex.org/W6761139768","https://openalex.org/W6779304510"],"related_works":["https://openalex.org/W3034688404","https://openalex.org/W3035557009","https://openalex.org/W2955172689","https://openalex.org/W2341113105","https://openalex.org/W3204418343","https://openalex.org/W3132602785","https://openalex.org/W3046182208","https://openalex.org/W2186589590","https://openalex.org/W4297818280","https://openalex.org/W2343346879"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,71,93,129],"aims":[2],"to":[3,9,102,143,178,221],"transfer":[4],"knowledge":[5],"between":[6,108,203],"different":[7,59,82,114],"domains":[8],"develop":[10],"an":[11,24],"effective":[12,25],"hypothesis":[13],"in":[14,35,50,61,81,113,120],"the":[15,29,44,51,68,75,89,96,103,106,139,144,149,155,170,180,189,196,204,215],"target":[16,64,207],"domain":[17,70,92,128],"with":[18],"scarce":[19],"labeled":[20,32,184],"data,":[21,185],"which":[22,66,99,136],"is":[23,41,67,160],"method":[26,130,193,219],"for":[27,147,162],"remedying":[28],"problem":[30,182],"of":[31,53,88,105,151,172,183,199,217],"data":[33],"requirement":[34],"deep":[36,133],"learning.":[37],"In":[38,176],"reality,":[39],"it":[40],"unavoidable":[42],"that":[43],"dataset":[45],"has":[46],"a":[47,125,132],"large":[48],"gap":[49],"number":[52],"positive":[54,109],"and":[55,63,84,110,168,206],"negative":[56,111],"instances":[57,112],"across":[58],"categories":[60,167],"source":[62,205],"domains,":[65],"imbalanced":[69,76,91,97,127,145,157],"problem.":[72],"However,":[73],"since":[74],"degree":[77],"always":[78],"varies":[79],"greatly":[80],"source-":[83],"target-domain":[85],"datasets,":[86],"most":[87],"existing":[90],"models":[94],"fix":[95],"parameters,":[98],"cannot":[100],"adapt":[101],"change":[104],"proportion":[107],"domains.":[115,152,208],"To":[116],"address":[117],"this":[118,121],"problem,":[119],"article,":[122],"we":[123,186],"propose":[124,188],"self-adaptive":[126,156],"via":[131],"sparse":[134],"autoencoder,":[135],"can":[137],"adjust":[138],"model":[140],"automatically":[141],"according":[142],"extent":[146],"bridging":[148],"chasm":[150],"More":[153],"specifically,":[154],"cross-entropy":[158],"loss":[159,174],"designed":[161],"emphasizing":[163],"more":[164],"on":[165,210],"minority":[166],"compensating":[169],"bias":[171],"training":[173],"automatically.":[175],"addition,":[177],"alleviate":[179],"deficient":[181],"further":[187],"unlabeled":[190],"information":[191],"incorporating":[192],"by":[194],"minimizing":[195],"distribution":[197],"discrepancy":[198],"high-level":[200],"representation":[201],"space":[202],"Experiments":[209],"several":[211],"real-world":[212],"datasets":[213],"demonstrate":[214],"effectiveness":[216],"our":[218],"compared":[220],"other":[222],"state-of-the-art":[223],"methods.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}