{"id":"https://openalex.org/W4385484657","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191821","title":"Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning","display_name":"Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484657","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191821"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5095094517","display_name":"Shenhao Gui","orcid":"https://orcid.org/0000-0001-5815-6938"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenhao Gui","raw_affiliation_strings":["Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech),Shenzhen,China","Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech),Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017647322","display_name":"Qingquan Zhang","orcid":"https://orcid.org/0000-0001-7715-4639"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingquan Zhang","raw_affiliation_strings":["Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech),Shenzhen,China","Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech),Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030356525","display_name":"Changwu Huang","orcid":"https://orcid.org/0000-0003-3685-2822"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changwu Huang","raw_affiliation_strings":["Southern University of Science and Technology (SUSTech),Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China","Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology (SUSTech),Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048049588","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-9899-8961"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Southern University of Science and Technology (SUSTech),Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China","Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology (SUSTech),Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems (RITAS), Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.4722,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5352139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9275000095367432,"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/adversarial-system","display_name":"Adversarial system","score":0.7720347046852112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272047996520996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6895545125007629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6643578410148621},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6092665195465088},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5754731297492981},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.5270112752914429},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.5174051523208618},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48877188563346863},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4340238571166992},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.29283085465431213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15064862370491028},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09313163161277771}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7720347046852112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272047996520996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6895545125007629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6643578410148621},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6092665195465088},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5754731297492981},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.5270112752914429},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.5174051523208618},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48877188563346863},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4340238571166992},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29283085465431213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15064862370491028},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09313163161277771},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1647972093","display_name":null,"funder_award_id":"61976111,62250710682","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":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2040622444","https://openalex.org/W2074018329","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2158406371","https://openalex.org/W2312339748","https://openalex.org/W2481783732","https://openalex.org/W2530395818","https://openalex.org/W2535260254","https://openalex.org/W2584805976","https://openalex.org/W2725155646","https://openalex.org/W2809878087","https://openalex.org/W2903145273","https://openalex.org/W2904642422","https://openalex.org/W2950104108","https://openalex.org/W2962790618","https://openalex.org/W2963116854","https://openalex.org/W2963753818","https://openalex.org/W2974817986","https://openalex.org/W3046910774","https://openalex.org/W3047533667","https://openalex.org/W3160587898","https://openalex.org/W3160783798","https://openalex.org/W3181414820","https://openalex.org/W3200801923","https://openalex.org/W4210736086","https://openalex.org/W4288391568","https://openalex.org/W4289258088","https://openalex.org/W4297095629","https://openalex.org/W4386094675","https://openalex.org/W6631190155","https://openalex.org/W6678191276","https://openalex.org/W6728551298","https://openalex.org/W6740303850","https://openalex.org/W6748256130","https://openalex.org/W6759928758","https://openalex.org/W6772484508","https://openalex.org/W6784237880","https://openalex.org/W6795231351","https://openalex.org/W6841480313","https://openalex.org/W6842686114"],"related_works":["https://openalex.org/W3046843850","https://openalex.org/W4386716251","https://openalex.org/W4281649751","https://openalex.org/W4308065432","https://openalex.org/W4206849702","https://openalex.org/W4200174328","https://openalex.org/W3099103017","https://openalex.org/W4312795480","https://openalex.org/W3137991047","https://openalex.org/W2951915053"],"abstract_inverted_index":{"With":[0],"growing":[1],"concerns":[2],"about":[3],"the":[4,26,29,42,63,85,121,129,133,137,147,166,169,173,189],"unwanted":[5],"bias":[6,24],"or":[7],"discrimination":[8],"in":[9,25,89,158],"machine":[10,16],"learning,":[11],"a":[12,57,110,144,204],"number":[13],"of":[14,31,59,65,87,91,112,123,146,160,206],"fairness-aware":[15],"learning":[17],"algorithms":[18],"have":[19],"been":[20,53],"developed":[21],"to":[22,40,55,74,84,108,115,127,155,183],"mitigate":[23],"prediction.":[27],"Because":[28],"objectives":[30],"accuracy":[32,66,162],"and":[33,67,119,163],"fairness":[34,68,149,164,185],"are":[35],"antagonistic,":[36],"it":[37,152],"is":[38,97,153,179],"hard":[39],"balance":[41],"trade-off":[43],"between":[44],"them.":[45],"Recently,":[46],"Multi-objective":[47],"Evolutionary":[48],"Learning":[49,102],"(MOEL)":[50],"framework":[51,72,106],"has":[52],"proposed":[54],"train":[56,75],"set":[58,111,205],"Pareto":[60,208],"models":[61,78,82,209],"with":[62,188,210],"consideration":[64],"simultaneously.":[69],"However,":[70],"this":[71,94],"prefers":[73],"more":[76],"accurate":[77],"rather":[79],"than":[80],"fairer":[81,207],"due":[83],"lack":[86],"gradient":[88],"terms":[90,159],"fairness.":[92],"In":[93],"paper,":[95],"MOEL":[96],"enhanced":[98],"through":[99],"introducing":[100],"Adversarial":[101],"(AL).":[103],"The":[104],"MOEL-AL":[105],"aims":[107],"maximize":[109],"predictors'":[113,134],"ability":[114,122],"predict":[116,128],"true":[117],"labels":[118],"minimize":[120],"an":[124],"adversarial":[125,138,174],"network":[126,139],"sensitive":[130],"attributes":[131],"from":[132],"output.":[135],"Specifically,":[136],"can":[140,202],"be":[141],"regarded":[142],"as":[143],"proxy":[145],"undifferentiable":[148],"metrics,":[150],"so":[151],"possible":[154],"propagate":[156],"gradients":[157],"both":[161],"for":[165,176],"predictors":[167,178],"during":[168],"back-propagation":[170],"process.":[171],"Besides,":[172],"strength":[175],"different":[177],"adjusted":[180],"dynamically":[181],"according":[182],"their":[184],"metric.":[186],"Compared":[187],"state-of-the-art":[190],"methods,":[191],"experimental":[192],"studies":[193],"on":[194,213],"seven":[195],"well-known":[196],"datasets":[197],"show":[198],"that":[199],"our":[200],"method":[201],"provide":[203],"little":[211],"drop":[212],"accuracy.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
