{"id":"https://openalex.org/W4405305004","doi":"https://doi.org/10.1109/dtpi61353.2024.10778801","title":"Design and Application of the Digital Human Identity Attribute Data Synthesis System","display_name":"Design and Application of the Digital Human Identity Attribute Data Synthesis System","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4405305004","doi":"https://doi.org/10.1109/dtpi61353.2024.10778801"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi61353.2024.10778801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","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/A5102577645","display_name":"Yapeng Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yapeng Ji","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356487","display_name":"Yangyang Li","orcid":"https://orcid.org/0000-0001-5687-9489"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Li","raw_affiliation_strings":["Academy of Cyber,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Cyber,Beijing,China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045029098","display_name":"Yunji Liang","orcid":"https://orcid.org/0000-0002-8381-8187"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunji Liang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078005520","display_name":"Bin Guo","orcid":"https://orcid.org/0000-0001-6097-2467"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Guo","raw_affiliation_strings":["Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018942454","display_name":"Yangzhao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangzhao Yang","raw_affiliation_strings":["Academy of Cyber,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Cyber,Beijing,China","institution_ids":["https://openalex.org/I4210130112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"578","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12705","display_name":"Educational Reforms and Innovations","score":0.37540000677108765,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12705","display_name":"Educational Reforms and Innovations","score":0.37540000677108765,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13444","display_name":"Medical Research and Treatments","score":0.3237000107765198,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.3089999854564667,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6427421569824219},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.41240835189819336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427421569824219},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.41240835189819336},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi61353.2024.10778801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1501960888","https://openalex.org/W2490662969","https://openalex.org/W2806276686","https://openalex.org/W3083145960","https://openalex.org/W3166254754","https://openalex.org/W3202428668","https://openalex.org/W4390665506"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"the":[1,52,58,135,138,160,170,181],"era":[2],"of":[3,57,137],"big":[4],"data,":[5],"increasing":[6],"demand":[7],"for":[8,73,115,148,162,208],"identity":[9,29,77,211],"data":[10,31,46,85,87,90,105,127,131,164,191,213],"sharing":[11],"in":[12,173],"fields":[13],"like":[14],"healthcare":[15],"and":[16,32,48,54,89,103,176,193,205],"tourism,":[17],"along":[18],"with":[19,44,107,180,202],"stricter":[20],"cybersecurity":[21],"regulations,":[22],"has":[23],"made":[24],"generating":[25],"realistic":[26],"digital":[27,75,209],"human":[28,76,210],"attribute":[30,78,212],"ensuring":[33,151],"its":[34],"efficient":[35],"use":[36],"a":[37,66,96,108],"critical":[38],"challenge.":[39],"However,":[40],"existing":[41],"methods":[42],"struggle":[43],"complex":[45],"types":[47],"distributions,":[49],"often":[50],"neglecting":[51],"social":[53],"logical":[55,152],"consistency":[56],"synthetic":[59],"data.":[60,79,140],"To":[61],"address":[62],"this,":[63],"we":[64],"propose":[65],"Conditional":[67],"Generative":[68],"Adversarial":[69],"Network":[70],"(CGAN)-based":[71],"system":[72,81,171],"synthesizing":[74],"The":[80,92,118,141],"features":[82],"three":[83],"modules:":[84],"preprocessing,":[86],"synthesis,":[88],"verification.":[91],"preprocessing":[93],"module":[94,120,143,183],"uses":[95,144],"composite":[97],"encoder":[98],"to":[99,125],"handle":[100],"discrete,":[101],"continuous,":[102],"mixed":[104],"types,":[106],"Variational":[109],"Gaussian":[110],"Mixture":[111],"Model":[112],"(VGM)-based":[113],"normalization":[114],"continuous":[116],"variables.":[117],"synthesis":[119],"introduces":[121],"conditional":[122],"vector-based":[123],"sampling":[124],"resolve":[126],"imbalance":[128],"while":[129],"preserving":[130],"distribution":[132],"characteristics,":[133],"enhancing":[134],"realism":[136],"generated":[139],"verification":[142,182],"association":[145],"rule":[146,185],"mining":[147],"secondary":[149],"validation,":[150],"consistency.":[153],"This":[154,196],"modular":[155],"design":[156],"improves":[157],"scalability,":[158],"paving":[159],"way":[161],"multimodal":[163],"synthesis.":[165,214],"Experimental":[166],"results":[167],"show":[168],"that":[169],"excels":[172],"statistical":[174],"similarity":[175],"machine":[177],"learning":[178],"utility,":[179],"boosting":[184],"retention":[186],"by":[187],"15%,":[188],"significantly":[189],"improving":[190],"quality":[192],"practical":[194,206],"value.":[195],"study":[197],"provides":[198],"an":[199],"effective":[200],"solution":[201],"important":[203],"theoretical":[204],"implications":[207]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
