{"id":"https://openalex.org/W4399727982","doi":"https://doi.org/10.1109/tcss.2024.3406629","title":"Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery","display_name":"Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399727982","doi":"https://doi.org/10.1109/tcss.2024.3406629"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3406629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3406629","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social 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/A5100333930","display_name":"Xiaobo Chen","orcid":"https://orcid.org/0000-0001-9940-1637"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobo Chen","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112933138","display_name":"Kaiyuan Wang","orcid":"https://orcid.org/0000-0001-9201-8977"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Wang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079457723","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0003-2410-435X"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077379145","display_name":"Fuwen Deng","orcid":"https://orcid.org/0000-0002-1150-682X"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuwen Deng","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039671101","display_name":"Qiaolin Ye","orcid":"https://orcid.org/0000-0002-8793-8610"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaolin Ye","raw_affiliation_strings":["College of Information Science and Technology and State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and State Key Laboratory of Tree Genetics and Breeding, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100333930"],"corresponding_institution_ids":["https://openalex.org/I83776822"],"apc_list":null,"apc_paid":null,"fwci":3.6785,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9369551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"5","first_page":"6882","last_page":"6896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9272000193595886,"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/regression","display_name":"Regression","score":0.5898778438568115},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5515706539154053},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5249478816986084},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5227815508842468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49148762226104736},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.484479159116745},{"id":"https://openalex.org/keywords/composite-number","display_name":"Composite number","score":0.4738719165325165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4520537555217743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36448371410369873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3405742943286896},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33062443137168884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3224599361419678},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3147461712360382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30921417474746704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30006855726242065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24428817629814148},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.21449822187423706},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13871261477470398},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09828782081604004}],"concepts":[{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5898778438568115},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5515706539154053},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5249478816986084},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5227815508842468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49148762226104736},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.484479159116745},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.4738719165325165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4520537555217743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36448371410369873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3405742943286896},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33062443137168884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3224599361419678},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3147461712360382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30921417474746704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30006855726242065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24428817629814148},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.21449822187423706},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13871261477470398},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09828782081604004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3406629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3406629","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2683820643","display_name":null,"funder_award_id":"32371877","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4151098548","display_name":null,"funder_award_id":"62072246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5233407577","display_name":null,"funder_award_id":"62376139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5331186488","display_name":null,"funder_award_id":"62176140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5336214237","display_name":null,"funder_award_id":"61773184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7694608834","display_name":null,"funder_award_id":"ZR2023MF014","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W195665135","https://openalex.org/W2014237985","https://openalex.org/W2020641160","https://openalex.org/W2025379728","https://openalex.org/W2038891887","https://openalex.org/W2048695508","https://openalex.org/W2090035883","https://openalex.org/W2091449379","https://openalex.org/W2115337059","https://openalex.org/W2120718561","https://openalex.org/W2124608575","https://openalex.org/W2130187411","https://openalex.org/W2146842127","https://openalex.org/W2153919224","https://openalex.org/W2163150789","https://openalex.org/W2197707282","https://openalex.org/W2505029951","https://openalex.org/W2726858467","https://openalex.org/W2782753316","https://openalex.org/W2799891732","https://openalex.org/W2800435428","https://openalex.org/W2801262348","https://openalex.org/W2950672904","https://openalex.org/W2962853966","https://openalex.org/W2991063736","https://openalex.org/W2999732489","https://openalex.org/W3007380221","https://openalex.org/W3014706756","https://openalex.org/W3034951560","https://openalex.org/W3123710172","https://openalex.org/W3169524537","https://openalex.org/W3171243408","https://openalex.org/W3202635391","https://openalex.org/W4210330613","https://openalex.org/W4214827269","https://openalex.org/W4229069577","https://openalex.org/W4229706427","https://openalex.org/W4255539113","https://openalex.org/W4281257454","https://openalex.org/W4285179601","https://openalex.org/W4290944872","https://openalex.org/W4292363360","https://openalex.org/W4313245004","https://openalex.org/W4313426831","https://openalex.org/W4323338464","https://openalex.org/W4353004250","https://openalex.org/W4378983123","https://openalex.org/W4381051180","https://openalex.org/W4384825617","https://openalex.org/W4385580726","https://openalex.org/W4386457129","https://openalex.org/W6843354984"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W2897298721","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771","https://openalex.org/W4286971555"],"abstract_inverted_index":{"Traffic":[0],"sensor":[1],"networks":[2],"allow":[3],"convenient":[4],"collection":[5],"of":[6,11,22,28,56,89,98,121,158,163,195],"travel":[7],"data":[8,24,34,188],"that":[9,143,202],"are":[10,144,189],"great":[12],"significance":[13],"for":[14],"intelligent":[15],"transportation":[16],"systems":[17],"(ITSs).":[18],"However,":[19],"the":[20,26,41,90,114,136,151,155,159,193,196,213],"universality":[21],"missing":[23,33],"impedes":[25],"application":[27],"ITS":[29],"and":[30,44,118,139],"thus":[31],"accurate":[32],"recovery":[35,214],"is":[36,82,109],"indispensable":[37],"in":[38,49,178],"practice.":[39],"Typically,":[40],"global":[42,137],"low-rankness":[43,138],"local":[45],"spatiotemporal":[46,141],"smoothness":[47],"exist":[48],"underlying":[50],"traffic":[51,122,187],"tensor":[52,64,99,206],"data.":[53,123],"In":[54],"light":[55],"this,":[57],"this":[58],"article":[59],"proposes":[60],"an":[61,168],"improved":[62],"low-rank":[63],"completion":[65,207],"(LRTC)":[66],"model":[67,108,133,210],"by":[68,134],"exploiting":[69],"abundant":[70],"structural":[71,105],"information":[72],"from":[73],"incomplete":[74],"tensors.":[75],"Specifically,":[76],"a":[77,86,95,103,129,179],"logarithm":[78],"power":[79],"composite":[80],"(LPC)-norm":[81],"first":[83],"proposed":[84,152,197],"as":[85],"nonconvex":[87,131],"substitute":[88],"rank":[91],"function,":[92],"leading":[93],"to":[94,111,146,191],"flexible":[96],"characterization":[97],"multidimensional":[100],"correlation.":[101],"Then,":[102],"joint":[104],"regression":[106],"(JSR)":[107],"presented":[110],"simultaneously":[112],"leverage":[113],"intrinsic":[115],"temporal":[116],"continuity":[117],"profile":[119],"similarity":[120],"By":[124],"doing":[125],"so,":[126],"we":[127,166],"construct":[128],"novel":[130],"LRTC":[132],"integrating":[135],"fine-grained":[140],"structure":[142],"complementary":[145],"each":[147,173],"other.":[148],"To":[149],"solve":[150],"model,":[153],"following":[154],"optimization":[156],"framework":[157],"alternating":[160],"direction":[161],"method":[162],"multipliers":[164],"(ADMMs),":[165],"develop":[167],"efficient":[169],"iterative":[170],"algorithm":[171],"where":[172],"step":[174],"can":[175],"be":[176],"solved":[177],"closed":[180],"form.":[181],"Extensive":[182],"experiments":[183],"on":[184],"four":[185],"real-world":[186],"conducted":[190],"evaluate":[192],"effectiveness":[194],"approach.":[198],"The":[199],"results":[200],"demonstrate":[201],"compared":[203],"with":[204],"other":[205],"methods,":[208],"our":[209],"significantly":[211],"improves":[212],"performance.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
