{"id":"https://openalex.org/W4407825936","doi":"https://doi.org/10.1109/tits.2025.3541448","title":"A Flexible Approach Based on Hybrid Global Low-Rankness and Smoothness Regularization With Nonlocal Structure for Traffic Data Imputation","display_name":"A Flexible Approach Based on Hybrid Global Low-Rankness and Smoothness Regularization With Nonlocal Structure for Traffic Data Imputation","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4407825936","doi":"https://doi.org/10.1109/tits.2025.3541448"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3541448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3541448","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5102965303","display_name":"Zeyu Zeng","orcid":"https://orcid.org/0000-0003-1120-3527"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyu Zeng","raw_affiliation_strings":["School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1120-3527","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417040","display_name":"Jun Feng","orcid":"https://orcid.org/0000-0001-8066-5261"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Feng","raw_affiliation_strings":["School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8066-5261","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110096575","display_name":"Zhang Huang","orcid":"https://orcid.org/0009-0002-1687-5461"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Huang","raw_affiliation_strings":["School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0002-1687-5461","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045310328","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-7467-2331"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7467-2331","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and the Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083108695","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0003-3642-2048"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["School of Sciences, Southwest Petroleum University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3642-2048","affiliations":[{"raw_affiliation_string":"School of Sciences, Southwest Petroleum University, Chengdu, China","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102965303"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":null,"apc_paid":null,"fwci":6.5198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95676087,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"8864","last_page":"8879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.953499972820282,"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/T12676","display_name":"Machine Learning and ELM","score":0.953499972820282,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9366999864578247,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T14392","display_name":"Geoscience and Mining Technology","score":0.9334999918937683,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7215571999549866},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5418298244476318},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5320172309875488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5207645297050476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4152672290802002},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.35261470079421997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34560829401016235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33037668466567993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2880288362503052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22249287366867065},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21693307161331177},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.1999417245388031},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11754095554351807}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7215571999549866},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5418298244476318},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5320172309875488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5207645297050476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4152672290802002},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.35261470079421997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34560829401016235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33037668466567993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2880288362503052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22249287366867065},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21693307161331177},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.1999417245388031},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11754095554351807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3541448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3541448","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G614717748","display_name":null,"funder_award_id":"2024NSFSC0083","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G6239964662","display_name":null,"funder_award_id":"2023NSFSC0020","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1798398164","https://openalex.org/W2009702064","https://openalex.org/W2020641160","https://openalex.org/W2026561823","https://openalex.org/W2030927653","https://openalex.org/W2042048367","https://openalex.org/W2043571470","https://openalex.org/W2051299429","https://openalex.org/W2056370875","https://openalex.org/W2064683861","https://openalex.org/W2079769575","https://openalex.org/W2082533141","https://openalex.org/W2091449379","https://openalex.org/W2096863518","https://openalex.org/W2144475703","https://openalex.org/W2153919224","https://openalex.org/W2163150789","https://openalex.org/W2177262641","https://openalex.org/W2292124520","https://openalex.org/W2342643507","https://openalex.org/W2343462218","https://openalex.org/W2529827714","https://openalex.org/W2762874775","https://openalex.org/W2767854248","https://openalex.org/W2789819752","https://openalex.org/W2810325916","https://openalex.org/W2889652523","https://openalex.org/W2902048196","https://openalex.org/W2930208852","https://openalex.org/W2964179170","https://openalex.org/W2979001238","https://openalex.org/W2980537499","https://openalex.org/W2997857369","https://openalex.org/W3000268401","https://openalex.org/W3033184363","https://openalex.org/W3034951560","https://openalex.org/W3117280498","https://openalex.org/W3137769352","https://openalex.org/W3166291381","https://openalex.org/W3167202680","https://openalex.org/W3188900617","https://openalex.org/W3196788510","https://openalex.org/W3202635391","https://openalex.org/W3209360714","https://openalex.org/W4214827269","https://openalex.org/W4281257454","https://openalex.org/W4290098428","https://openalex.org/W4293235312","https://openalex.org/W4321073685","https://openalex.org/W4323022420","https://openalex.org/W4378983123","https://openalex.org/W4379623896","https://openalex.org/W4391667267","https://openalex.org/W4391798166","https://openalex.org/W4400524914","https://openalex.org/W4401163230","https://openalex.org/W4401567405","https://openalex.org/W6679272984","https://openalex.org/W6766252466"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2191886813","https://openalex.org/W1986317414","https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W2795976185"],"abstract_inverted_index":{"Spatialtemporal":[0],"traffic":[1,57,94,139],"data":[2,10,44,74,140,188],"are":[3],"collected":[4],"by":[5],"a":[6,124],"wide":[7],"array":[8],"of":[9,72,82,177,203,234],"collection":[11],"devices":[12],"deployed":[13],"in":[14,22,45,116,138,181],"intelligent":[15,24,46],"transportation":[16,25,47],"systems,":[17],"which":[18,96],"play":[19],"crucial":[20],"roles":[21],"data-driven":[23],"systems.":[26],"However,":[27,79],"hardware":[28],"malfunctions":[29],"or":[30],"software":[31],"system":[32],"errors":[33],"can":[34,49],"lead":[35],"to":[36,39,100,127,141,153,162,170,205],"the":[37,69,80,88,92,129,148,155,158,167,182,228,232],"inability":[38],"collect":[40],"accurate":[41],"data.":[42],"Incomplete":[43],"systems":[48],"cause":[50],"difficulties":[51],"for":[52,87,209],"subsequent":[53],"applications,":[54],"such":[55,106],"as":[56,107],"flow":[58],"anomaly":[59],"detection":[60],"and":[61,110,134,166,193],"forecasting.":[62],"Recently,":[63],"low-rank":[64],"tensor-based":[65,83],"methods":[66],"that":[67,113,184,227],"characterize":[68,154,187],"global":[70,89,130],"correlation":[71,90,156],"high-dimensional":[73],"have":[75],"achieved":[76],"superior":[77],"performance.":[78],"majority":[81],"approaches":[84],"primarily":[85],"account":[86],"within":[91],"target":[93],"data,":[95],"is":[97,215],"not":[98],"sufficient":[99],"recover":[101],"some":[102],"challenging":[103],"missing":[104,109,112,222,243],"scenarios,":[105],"fiber":[108],"slice":[111],"often":[114],"occur":[115],"real":[117],"situations.":[118],"In":[119],"this":[120,178],"manuscript,":[121],"we":[122,146],"suggest":[123],"flexible":[125],"method":[126,202,214,230],"explore":[128],"correlation,":[131],"local":[132],"smoothness,":[133],"nonlocal":[135,172],"self-similar":[136],"redundancy":[137],"improve":[142],"recovery":[143],"accuracy.":[144],"Specifically,":[145],"utilize":[147],"multidimensional":[149,159],"tensor":[150],"nuclear":[151],"norm":[152],"structure,":[157],"total":[160],"variation":[161],"maintain":[163],"smoothness":[164],"detail,":[165],"plug-and-play":[168],"term":[169],"promote":[171],"self-similarity.":[173],"The":[174,212],"primary":[175],"merits":[176],"model":[179],"lie":[180],"fact":[183],"these":[185],"priors":[186,236],"features":[189],"from":[190],"different":[191,235],"perspectives":[192],"complement":[194],"each":[195,210],"other.":[196],"We":[197],"develop":[198],"an":[199],"alternating":[200],"direction":[201],"multipliers":[204],"achieve":[206],"efficient":[207],"optimization":[208],"variable.":[211],"proposed":[213],"comprehensively":[216],"evaluated":[217],"through":[218],"experiments":[219,225],"across":[220],"seven":[221],"scenarios.":[223,244],"Extensive":[224],"demonstrate":[226],"suggested":[229],"with":[231],"aid":[233],"outperforms":[237],"many":[238],"state-of-the-art":[239],"approaches,":[240],"especially":[241],"structured":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
