{"id":"https://openalex.org/W4416798139","doi":"https://doi.org/10.1109/tkde.2025.3638633","title":"Topology-Induced Low-Rank Tensor Representation for Spatio-Temporal Traffic Data Imputation","display_name":"Topology-Induced Low-Rank Tensor Representation for Spatio-Temporal Traffic Data Imputation","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W4416798139","doi":"https://doi.org/10.1109/tkde.2025.3638633"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2025.3638633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3638633","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5107808652","display_name":"Zhi-Long Han","orcid":"https://orcid.org/0000-0001-6360-2955"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Long Han","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-6360-2955","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100995891","display_name":"Ting-Zhu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Zhu Huang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7766-230X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011715660","display_name":"Xi-Le Zhao","orcid":"https://orcid.org/0000-0002-6540-946X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Le Zhao","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-6540-946X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101613322","display_name":"Ben-Zheng Li","orcid":"https://orcid.org/0000-0002-1508-9015"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben-Zheng Li","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-1508-9015","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081400328","display_name":"Meng Ding","orcid":"https://orcid.org/0000-0002-8670-0846"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Ding","raw_affiliation_strings":["School of Mathematics, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8670-0846","affiliations":[{"raw_affiliation_string":"School of Mathematics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6148,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73104279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"38","issue":"2","first_page":"1349","last_page":"1363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8718000054359436,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8718000054359436,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12303","display_name":"Tensor decomposition and applications","score":0.03290000185370445,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.026499999687075615,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4982999861240387},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4876999855041504},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48330000042915344},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.45080000162124634},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4327000081539154},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43130001425743103},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.41839998960494995},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.3668999969959259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577000260353088},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5264000296592712},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4876999855041504},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48330000042915344},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4260999858379364},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.3330000042915344},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3181999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3057999908924103},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3638633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3638633","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7969624079","display_name":null,"funder_award_id":"12371456","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1798398164","https://openalex.org/W1814521481","https://openalex.org/W1963826206","https://openalex.org/W1969698720","https://openalex.org/W1983883318","https://openalex.org/W2024165284","https://openalex.org/W2043571470","https://openalex.org/W2091449379","https://openalex.org/W2101491865","https://openalex.org/W2132294263","https://openalex.org/W2158787690","https://openalex.org/W2179076887","https://openalex.org/W2343462218","https://openalex.org/W2742050142","https://openalex.org/W2756203131","https://openalex.org/W2762874775","https://openalex.org/W2796431263","https://openalex.org/W2800435428","https://openalex.org/W2902048196","https://openalex.org/W2930208852","https://openalex.org/W2962915592","https://openalex.org/W2963214893","https://openalex.org/W2963885538","https://openalex.org/W2970240670","https://openalex.org/W2971507477","https://openalex.org/W2980537499","https://openalex.org/W2989870471","https://openalex.org/W2991063736","https://openalex.org/W2996451395","https://openalex.org/W3034951560","https://openalex.org/W3041552048","https://openalex.org/W3126367810","https://openalex.org/W3166291381","https://openalex.org/W3170140111","https://openalex.org/W3188900617","https://openalex.org/W3198546568","https://openalex.org/W3202635391","https://openalex.org/W3205590958","https://openalex.org/W4281257454","https://openalex.org/W4285179601","https://openalex.org/W4312641777","https://openalex.org/W4379623896","https://openalex.org/W4379805280","https://openalex.org/W4383890128","https://openalex.org/W4386755685","https://openalex.org/W4395096403","https://openalex.org/W4400071817","https://openalex.org/W4400524914","https://openalex.org/W4402215873","https://openalex.org/W4404102190","https://openalex.org/W4407351639"],"related_works":[],"abstract_inverted_index":{"Spatio-temporal":[0],"traffic":[1,37,143],"data":[2,16,24,38,144,212],"imputation":[3],"is":[4,147],"a":[5,68,98,131],"fundamental":[6],"component":[7],"in":[8,59],"intelligent":[9],"transportation":[10],"systems,":[11],"which":[12,74,103,146],"can":[13,75],"significantly":[14],"improve":[15],"quality":[17],"and":[18,54,126,139,156,177,206],"enhance":[19],"the":[20,41,46,50,78,82,115,123,162,186,199],"accuracy":[21],"of":[22,81,117,173],"downstream":[23],"mining":[25],"tasks.":[26],"Recently,":[27],"low-rank":[28,42,70,133,204],"tensor":[29,71,134],"representation":[30,72],"has":[31],"shown":[32],"great":[33],"potential":[34],"for":[35,142,192,210],"spatio-temporal":[36,60,211],"imputation.":[39,213],"However,":[40],"assumption":[43],"focuses":[44],"on":[45],"global":[47],"structure,":[48],"neglecting":[49],"critical":[51,200],"spatial":[52,83,137],"topology":[53,88,138],"local":[55,93],"temporal":[56,94,140,207],"dependencies":[57,141],"inherent":[58],"data.":[61],"To":[62,160],"address":[63],"these":[64],"issues,":[65],"we":[66,96,129,166],"propose":[67],"topology-induced":[69],"(TILR),":[73],"accurately":[76],"capture":[77],"underlying":[79],"low-rankness":[80],"multi-scale":[84],"features":[85],"induced":[86],"by":[87],"knowledge.":[89],"Moreover,":[90],"to":[91,114,149],"exploit":[92],"dependencies,":[95],"suggest":[97],"learnable":[99],"convolutional":[100,119,127],"regularization":[101],"framework,":[102],"not":[104],"only":[105],"includes":[106],"some":[107],"classical":[108],"convolution-based":[109],"regularizers":[110],"but":[111],"also":[112],"leads":[113],"discovery":[116],"new":[118],"regularizers.":[120],"Equipped":[121],"with":[122],"suggested":[124],"TILR":[125],"regularizer,":[128],"build":[130],"unified":[132],"model":[135,188],"harmonizing":[136],"imputation,":[145],"expected":[148],"deliver":[150],"promising":[151],"performance":[152],"even":[153],"under":[154],"extreme":[155],"complex":[157],"missing":[158,194],"scenarios.":[159,195],"solve":[161],"proposed":[163,187],"nonconvex":[164],"model,":[165],"develop":[167],"an":[168],"efficient":[169],"alternating":[170],"direction":[171],"method":[172],"multipliers":[174],"(ADMM)-based":[175],"algorithm":[176],"analyze":[178],"its":[179],"computational":[180],"complexity.":[181],"Extensive":[182],"experiments":[183],"demonstrate":[184],"that":[185],"outperforms":[189],"state-of-the-art":[190],"baselines":[191],"various":[193],"These":[196],"results":[197],"reveal":[198],"synergy":[201],"between":[202],"topology-aware":[203],"constraint":[205],"dynamic":[208],"modeling":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-28T00:00:00"}