{"id":"https://openalex.org/W4412721964","doi":"https://doi.org/10.1109/tkde.2025.3593637","title":"B2BGAN: A Backbone-to-Branches GAN-Based Oversampling Approach for Class-Imbalanced Tabular Data","display_name":"B2BGAN: A Backbone-to-Branches GAN-Based Oversampling Approach for Class-Imbalanced Tabular Data","publication_year":2025,"publication_date":"2025-07-29","ids":{"openalex":"https://openalex.org/W4412721964","doi":"https://doi.org/10.1109/tkde.2025.3593637"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3593637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3593637","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5102324061","display_name":"Xiaoguang Wang","orcid":"https://orcid.org/0000-0002-6060-5883"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Wang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Software Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6060-5883","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455048","display_name":"Chenxu Wang","orcid":"https://orcid.org/0000-0002-9539-5046"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxu Wang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Software Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9539-5046","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mengqin Wang","orcid":"https://orcid.org/0009-0005-8130-0623"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqin Wang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","School of Software Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0005-8130-0623","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-6004-0675"},"institutions":[{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["MoE Key Lab of Intelligent Networks and Network Security, Xi&#x2019;an, China","MoE Key Lab of Intelligent Networks and Network Security, China"],"raw_orcid":"https://orcid.org/0000-0002-6004-0675","affiliations":[{"raw_affiliation_string":"MoE Key Lab of Intelligent Networks and Network Security, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210108629"]},{"raw_affiliation_string":"MoE Key Lab of Intelligent Networks and Network Security, China","institution_ids":["https://openalex.org/I4210108629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054804733","display_name":"Xiaohong Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Guan","raw_affiliation_strings":["MoE Key Lab of Intelligent Networks and Network Security, Xi&#x2019;an, China","MoE Key Lab of Intelligent Networks and Network Security, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Intelligent Networks and Network Security, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210108629"]},{"raw_affiliation_string":"MoE Key Lab of Intelligent Networks and Network Security, China","institution_ids":["https://openalex.org/I4210108629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84905517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"37","issue":"10","first_page":"5808","last_page":"5822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.953000009059906,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.953000009059906,"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":0.9251999855041504,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.910099983215332,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8050022721290588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7696033716201782},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.694201648235321},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4245792627334595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3509816825389862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31393900513648987},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1810324788093567},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.12720248103141785}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8050022721290588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696033716201782},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.694201648235321},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4245792627334595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3509816825389862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31393900513648987},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1810324788093567},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.12720248103141785}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3593637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3593637","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3886680339","display_name":null,"funder_award_id":"xzy012023068","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4208651041","display_name":null,"funder_award_id":"T2341003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6164773512","display_name":null,"funder_award_id":"62102310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6311837223","display_name":null,"funder_award_id":"62293553","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7922270038","display_name":null,"funder_award_id":"2025JC-JCQN-081","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G8176576550","display_name":null,"funder_award_id":"62272379","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1984712439","https://openalex.org/W1988790447","https://openalex.org/W1999318832","https://openalex.org/W2087787741","https://openalex.org/W2096945460","https://openalex.org/W2104167780","https://openalex.org/W2104933073","https://openalex.org/W2112627523","https://openalex.org/W2119191234","https://openalex.org/W2132791018","https://openalex.org/W2137029138","https://openalex.org/W2144798162","https://openalex.org/W2148143831","https://openalex.org/W2158698691","https://openalex.org/W2194775991","https://openalex.org/W2612634114","https://openalex.org/W2779931100","https://openalex.org/W2806276686","https://openalex.org/W2887451702","https://openalex.org/W2962712569","https://openalex.org/W2979389376","https://openalex.org/W2984789661","https://openalex.org/W2985175868","https://openalex.org/W2997591727","https://openalex.org/W3014080044","https://openalex.org/W3031232306","https://openalex.org/W3092707779","https://openalex.org/W3120644841","https://openalex.org/W3125241865","https://openalex.org/W3167678855","https://openalex.org/W3211269841","https://openalex.org/W3216066124","https://openalex.org/W3216759837","https://openalex.org/W4205471456","https://openalex.org/W4210263531","https://openalex.org/W4221029256","https://openalex.org/W4223946313","https://openalex.org/W4226098442","https://openalex.org/W4287660544","https://openalex.org/W4297087996","https://openalex.org/W4304098281","https://openalex.org/W4309628156","https://openalex.org/W4317725765","https://openalex.org/W4365421262","https://openalex.org/W4382469817","https://openalex.org/W4383749254","https://openalex.org/W4387730119","https://openalex.org/W4390665506","https://openalex.org/W4391688210"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W4386214543","https://openalex.org/W3082051559","https://openalex.org/W1969988626","https://openalex.org/W1682621979","https://openalex.org/W2141301039","https://openalex.org/W2300921526"],"abstract_inverted_index":{"Tabular":[0],"data":[1,10,70,99,143],"is":[2,44,89],"prevalent":[3],"in":[4,68,145,240,244],"many":[5],"fields.":[6],"In":[7],"practice,":[8],"tabular":[9,137],"classification":[11],"may":[12],"encounter":[13],"severe":[14],"challenges":[15,81],"due":[16,48],"to":[17,31,49,76,92,159,204,211],"class":[18,109,192,214],"imbalance,":[19],"i.e.,":[20,112],"some":[21,113],"majority":[22,39,162],"classes":[23,43,88,165],"overwhelm":[24],"minority":[25,42,87,164],"ones.":[26],"Such":[27],"imbalance":[28],"could":[29,106],"lead":[30],"biased":[32],"prediction":[33],"tendency":[34],"of":[35,54,63,86,174,186,195,220],"trained":[36],"classifiers":[37],"towards":[38],"classes.":[40,188],"Oversampling":[41],"an":[45],"essential":[46],"solution":[47],"its":[50],"generality":[51],"and":[52,163,242],"independence":[53],"downstream":[55],"tasks.":[56],"Recent":[57],"years":[58],"have":[59],"witnessed":[60],"the":[61,84,102,108,141,157,161,171,175,183,191,212,218],"advantages":[62],"generative":[64],"adversarial":[65],"networks":[66],"(GANs)":[67],"synthetic":[69],"generation,":[71],"favored":[72],"for":[73,96,134,156],"their":[74],"ability":[75],"generate":[77],"quasi-realistic":[78],"samples.":[79,121],"However,":[80],"arise":[82],"when":[83],"size":[85],"too":[90],"small":[91],"provide":[93],"sufficient":[94],"information":[95],"learning":[97],"real":[98,142],"distributions.":[100],"Furthermore,":[101],"generated":[103,114,196,207],"minority-class":[104],"samples":[105,115,208],"exacerbate":[107],"overlap":[110,117,193],"problem,":[111],"unexpectedly":[116],"with":[118],"partial":[119],"majority-class":[120],"To":[122,139,189],"address":[123],"these":[124],"challenges,":[125],"this":[126],"paper":[127],"presents":[128],"B2BGAN,":[129],"a":[130,146,151,200],"novel":[131,152],"GAN-based":[132],"approach":[133],"oversampling":[135],"imbalanced":[136],"data.":[138],"capture":[140],"distribution":[144,173],"fine-grained":[147],"manner,":[148],"we":[149,198],"propose":[150],"backbone-to-branches":[153],"neural":[154],"network":[155,169,181],"generator":[158],"fit":[160],"simultaneously.":[166],"The":[167],"backbone":[168],"fits":[170],"whole":[172],"entire":[176],"data,":[177],"while":[178],"each":[179],"branch":[180],"grasps":[182],"distinctive":[184],"characteristics":[185],"individual":[187],"alleviate":[190],"problem":[194],"samples,":[197],"develop":[199],"prototype-guided":[201],"loss":[202],"function":[203],"ensure":[205],"that":[206,232],"are":[209],"closer":[210],"corresponding":[213],"prototypes.":[215],"We":[216],"evaluate":[217],"effectiveness":[219],"B2BGAN":[221],"on":[222],"six":[223,227],"real-world":[224],"datasets":[225],"using":[226],"metrics.":[228],"Experimental":[229],"results":[230],"demonstrate":[231],"our":[233],"method":[234],"outperforms":[235],"state-of-the-art":[236],"models":[237],"by":[238],"5.38%":[239],"AUC":[241],"10.19%":[243],"AP.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
