{"id":"https://openalex.org/W4413359254","doi":"https://doi.org/10.1109/tce.2025.3600559","title":"AttnWGAIN: Attention-Based Wasserstein Generative Adversarial Imputation Network for IoT Multivariate Time Series","display_name":"AttnWGAIN: Attention-Based Wasserstein Generative Adversarial Imputation Network for IoT Multivariate Time Series","publication_year":2025,"publication_date":"2025-08-20","ids":{"openalex":"https://openalex.org/W4413359254","doi":"https://doi.org/10.1109/tce.2025.3600559"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3600559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3600559","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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":null,"display_name":"Zhaoqin Wang","orcid":"https://orcid.org/0009-0009-8657-637X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqin Wang","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China","College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-8657-637X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100313648","display_name":"Qian Ma","orcid":"https://orcid.org/0000-0002-7252-9240"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Ma","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China","College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-7252-9240","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Defu Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Cui","raw_affiliation_strings":["Air Ticket Business Department, TravelSky Mobile Technology Company Ltd., Beijing, China","Air Ticket Business Department, TravelSky Mobile Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Ticket Business Department, TravelSky Mobile Technology Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Air Ticket Business Department, TravelSky Mobile Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018071549","display_name":"Shikai Guo","orcid":"https://orcid.org/0000-0002-8554-6365"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikai Guo","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China","College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-8554-6365","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101964378","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-2179-3380"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["College of Information Science and Technology, Dalian Maritime University, Dalian, China","College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Information Science and Technology, Dalian Maritime University, Dalian, P. R. China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048969140","display_name":"Ning Qiao","orcid":"https://orcid.org/0000-0002-4809-5104"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Ning","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Wuxi, China","School of Information Science and Technology, Northeast Normal University, Wuxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Wuxi, China","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Wuxi, P. R. China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09851872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":"4","first_page":"9702","last_page":"9716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976999759674072,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976999759674072,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9951000213623047,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.755422830581665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6947512626647949},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6501868367195129},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6280224919319153},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.571171760559082},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5552607178688049},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5549512505531311},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.525940477848053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49577364325523376},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3900796175003052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3826560974121094},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.24770545959472656},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1600944995880127}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.755422830581665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947512626647949},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6501868367195129},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6280224919319153},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.571171760559082},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5552607178688049},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5549512505531311},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.525940477848053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49577364325523376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3900796175003052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3826560974121094},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.24770545959472656},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1600944995880127},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3600559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3600559","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3129111203","display_name":null,"funder_award_id":"3132024269","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4550445202","display_name":null,"funder_award_id":"3132024266","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5709551025","display_name":null,"funder_award_id":"3132023523","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6655729488","display_name":null,"funder_award_id":"62002039","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}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1967387730","https://openalex.org/W2064186732","https://openalex.org/W2096849238","https://openalex.org/W2155013980","https://openalex.org/W2193720533","https://openalex.org/W2268617045","https://openalex.org/W2581082906","https://openalex.org/W2903942159","https://openalex.org/W2945759596","https://openalex.org/W2963360736","https://openalex.org/W2963542740","https://openalex.org/W2964010366","https://openalex.org/W2964425131","https://openalex.org/W3017766631","https://openalex.org/W3034513922","https://openalex.org/W3035623224","https://openalex.org/W3096831136","https://openalex.org/W3102927640","https://openalex.org/W3177318507","https://openalex.org/W3198445485","https://openalex.org/W4210494925","https://openalex.org/W4253578872","https://openalex.org/W4285604184","https://openalex.org/W4312497550","https://openalex.org/W4319335604","https://openalex.org/W4353115442","https://openalex.org/W4362734158","https://openalex.org/W4385245566","https://openalex.org/W4385270120","https://openalex.org/W4387250058","https://openalex.org/W4387250129","https://openalex.org/W4387917674","https://openalex.org/W4389352474","https://openalex.org/W4390873117","https://openalex.org/W4392746609"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4410783345","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785"],"abstract_inverted_index":{"The":[0,186],"missing":[1,38,92],"values":[2,39,93],"pervasively":[3],"exist":[4],"in":[5,87,95,154,180],"IoT":[6,31,69,119,155,166,181],"multivariate":[7],"time":[8,32,70,121,156,182],"series,":[9,122],"which":[10,75],"severely":[11],"impairs":[12],"the":[13,16,88,106,124,143,169],"interpretability":[14],"of":[15,111],"data":[17,89],"and":[18,26,84,90,123,132,168,172],"poses":[19],"a":[20,65,96,102,109,146],"major":[21],"problem":[22],"for":[23,68],"advanced":[24],"analysis":[25],"pattern":[27],"recognition":[28],"tasks.":[29,185],"Existing":[30],"series":[33,71,157,183],"imputation":[34,46,138,184],"methods":[35,49,179],"typically":[36],"address":[37],"through":[40],"deletion,":[41],"statistical":[42],"estimation,":[43],"or":[44,57],"deep-learning-based":[45],"However,":[47],"these":[48],"often":[50],"fail":[51],"to":[52,80,116,127,136],"sufficiently":[53],"explore":[54],"temporal":[55,83],"information":[56],"are":[58],"multi-stage.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"introduce":[64],"novel":[66],"model":[67,104,144],"imputation,":[72],"called":[73],"AttnWGAIN,":[74],"utilizes":[76],"an":[77,118],"attention":[78,114],"mechanism":[79],"capture":[81],"both":[82],"feature":[85],"correlations":[86],"imputes":[91],"(MVs)":[94],"generative":[97],"manner.":[98],"Specifically,":[99],"AttnWGAIN":[100,150,176],"is":[101,189],"GAN-based":[103],"where":[105],"generator":[107],"leverages":[108],"number":[110],"diagonal":[112],"masked":[113],"blocks":[115],"reconstruct":[117],"complete":[120],"discriminator":[125],"attempts":[126],"distinguish":[128],"between":[129],"real":[130],"(observed)":[131],"fake":[133],"(imputed)":[134],"elements":[135],"enhance":[137],"accuracy.":[139],"Furthermore,":[140],"by":[141],"training":[142],"with":[145],"joint":[147],"optimization":[148],"strategy,":[149],"demonstrates":[151],"superior":[152],"performance":[153],"imputation.":[158],"We":[159],"conduct":[160],"extensive":[161],"experiments":[162],"on":[163],"four":[164],"real-world":[165],"datasets,":[167],"results":[170],"quantitatively":[171],"qualitatively":[173],"show":[174],"that":[175],"outperforms":[177],"state-of-the-art":[178],"source":[187],"code":[188],"available":[190],"at":[191],"https://github.com/wzq-come-on/AttnWGAIN.git.":[192]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}