{"id":"https://openalex.org/W4408423705","doi":"https://doi.org/10.1109/access.2025.3551594","title":"Enhancing Tabular Data Generation With Dual-Scale Noise Modeling","display_name":"Enhancing Tabular Data Generation With Dual-Scale Noise Modeling","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408423705","doi":"https://doi.org/10.1109/access.2025.3551594"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3551594","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3551594","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3551594","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077627158","display_name":"Xiaorong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Zhang","raw_affiliation_strings":["Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China","Anhui Technical College Of Mechanical and Electrical Engineering, Wuhu, China"],"raw_orcid":"https://orcid.org/0009-0000-1125-0978","affiliations":[{"raw_affiliation_string":"Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"Anhui Technical College Of Mechanical and Electrical Engineering, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325828","display_name":"Fei Li","orcid":"https://orcid.org/0000-0002-4695-944X"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China","Anhui Technical College Of Mechanical and Electrical Engineering, Wuhu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"Anhui Technical College Of Mechanical and Electrical Engineering, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643594","display_name":"Xuting Hu","orcid":"https://orcid.org/0009-0008-6460-4803"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuting Hu","raw_affiliation_strings":["Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China","Anhui Technical College Of Mechanical and Electrical Engineering, Wuhu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"Anhui Technical College Of Mechanical and Electrical Engineering, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72458016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"48643","last_page":"48655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.8019000291824341,"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"}},"topics":[{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.8019000291824341,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.7674000263214111,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7041059136390686},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6446145176887512},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5970203876495361},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.55218106508255},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41679641604423523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21592241525650024},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17207247018814087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041059136390686},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6446145176887512},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5970203876495361},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.55218106508255},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41679641604423523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21592241525650024},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17207247018814087},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3551594","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3551594","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4f87624f0cd04cde86fe3598f2d11e48","is_oa":true,"landing_page_url":"https://doaj.org/article/4f87624f0cd04cde86fe3598f2d11e48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 48643-48655 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3551594","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3551594","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1995834279","https://openalex.org/W2076092328","https://openalex.org/W2396881363","https://openalex.org/W2756359217","https://openalex.org/W2806276686","https://openalex.org/W2962772482","https://openalex.org/W2998993395","https://openalex.org/W3096831136","https://openalex.org/W3202428668","https://openalex.org/W4206912392","https://openalex.org/W4224022798","https://openalex.org/W4253802431","https://openalex.org/W4300672471","https://openalex.org/W4372336638","https://openalex.org/W4386736812","https://openalex.org/W4392208038","https://openalex.org/W4401537079","https://openalex.org/W4406163692","https://openalex.org/W4406606637","https://openalex.org/W6633301734","https://openalex.org/W6747665237","https://openalex.org/W6765451912","https://openalex.org/W6779823529","https://openalex.org/W6786080667","https://openalex.org/W6788990321","https://openalex.org/W6790857497","https://openalex.org/W6797867632","https://openalex.org/W6811174028","https://openalex.org/W6858380066","https://openalex.org/W6859685042","https://openalex.org/W6871653841"],"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":{"The":[0],"generation":[1],"of":[2,24,71,82,134,162],"synthetic":[3,188],"tabular":[4,25,64,116,189],"data":[5,14,65],"plays":[6],"a":[7,50,83,180],"critical":[8],"role":[9],"in":[10,37],"applications":[11],"such":[12],"as":[13,179],"enhancement,":[15],"privacy":[16],"preservation,":[17],"and":[18,29,76,96,107,168,182,193],"model":[19],"validation.":[20],"However,":[21],"the":[22,44,56,69,80,89,93,97,101,105,142,159,166],"heterogeneity":[23],"data\u2014comprising":[26],"both":[27,73],"continuous":[28],"categorical":[30],"features":[31],"with":[32],"intricate":[33],"interdependencies\u2014presents":[34],"significant":[35],"challenges":[36],"generating":[38,186],"high-quality":[39,187],"data.":[40],"This":[41],"study":[42],"presents":[43],"Dual-Scale":[45],"Diffusion":[46,58],"Probabilistic":[47,59],"Method":[48],"(DSDDPM),":[49],"novel":[51],"framework":[52],"developed":[53],"to":[54,137],"improve":[55],"Denoising":[57],"Model":[60],"(DDPM)":[61],"performance":[62],"for":[63,185],"generation.":[66],"DSDDPM":[67,120,126,140,157,178],"tackles":[68],"challenge":[70],"capturing":[72],"global":[74,90,150],"dependencies":[75],"local":[77],"details":[78],"through":[79],"use":[81],"dual-scale":[84],"noise-handling":[85],"mechanism.":[86],"It":[87],"models":[88],"structure":[91],"at":[92,100],"coarse":[94],"scale":[95,103],"regional":[98],"patterns":[99],"fine":[102],"throughout":[104],"forward":[106],"backward":[108],"diffusion":[109],"processes.":[110],"Experimental":[111],"evaluations":[112],"on":[113],"several":[114],"benchmark":[115],"datasets":[117,148],"show":[118],"that":[119],"outperforms":[121],"existing":[122],"state-of-the-art":[123],"methods.":[124,139,174],"Specifically,":[125],"improves":[127],"machine":[128],"learning":[129],"efficiency":[130],"by":[131],"an":[132],"average":[133],"5-7%":[135],"compared":[136],"other":[138,173],"exhibits":[141],"lowest":[143],"correlation":[144],"deviation":[145],"across":[146,195],"all":[147],"regarding":[149,154],"dependency":[151],"modeling.":[152],"Moreover,":[153],"detail":[155],"consistency,":[156],"shows":[158],"highest":[160],"alignment":[161],"feature":[163],"distributions":[164],"between":[165],"generated":[167],"actual":[169],"data,":[170,190],"significantly":[171],"outperforming":[172],"These":[175],"results":[176],"position":[177],"robust":[181],"scalable":[183],"solution":[184],"enhancing":[191],"fidelity":[192],"versatility":[194],"various":[196],"applications.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}