{"id":"https://openalex.org/W7125904526","doi":"https://doi.org/10.1109/smc58881.2025.11343041","title":"Second-order Latent Factorization of Tensors based on Tucker Decomposition for spatio-temporal traffic flow data completion","display_name":"Second-order Latent Factorization of Tensors based on Tucker Decomposition for spatio-temporal traffic flow data completion","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125904526","doi":"https://doi.org/10.1109/smc58881.2025.11343041"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5081253611","display_name":"Jiajia Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiajia Mi","raw_affiliation_strings":["Guangdong University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101542282","display_name":"Weiling Li","orcid":"https://orcid.org/0000-0003-2453-7200"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiling Li","raw_affiliation_strings":["Dongguan University of Technology,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033218797","display_name":"Huaqiang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiang Yuan","raw_affiliation_strings":["Dongguan University of Technology,Dongguan,China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology,Dongguan,China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102871595","display_name":"Zhe Xie","orcid":"https://orcid.org/0000-0001-9749-2539"},"institutions":[{"id":"https://openalex.org/I4210124472","display_name":"Dream Laboratory (United Kingdom)","ror":"https://ror.org/035wa3p49","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210124472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhe Xie","raw_affiliation_strings":["Dreame Technology Co., Ltd.,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Dreame Technology Co., Ltd.,Suzhou,China","institution_ids":["https://openalex.org/I4210124472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064159741","display_name":"Dongning Liu","orcid":"https://orcid.org/0000-0003-3588-5833"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongning Liu","raw_affiliation_strings":["Guangdong University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081253611"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68537065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6437","last_page":"6442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8646000027656555,"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":0.8646000027656555,"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":0.10459999740123749,"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":0.007899999618530273,"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/tucker-decomposition","display_name":"Tucker decomposition","score":0.6826000213623047},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5706999897956848},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5263000130653381},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4602999985218048},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4602999985218048},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4569000005722046},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.40720000863075256},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4050999879837036}],"concepts":[{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.6826000213623047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140000224113464},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5706999897956848},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5263000130653381},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5238999724388123},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4602999985218048},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4602999985218048},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.40720000863075256},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3506999909877777},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2773999869823456},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C2775847900","wikidata":"https://www.wikidata.org/wiki/Q28455493","display_name":"Traffic model","level":2,"score":0.26489999890327454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1492095519","https://openalex.org/W2006903949","https://openalex.org/W2398500126","https://openalex.org/W2767854248","https://openalex.org/W2902048196","https://openalex.org/W2989870471","https://openalex.org/W3080850015","https://openalex.org/W3127674762","https://openalex.org/W3153812903","https://openalex.org/W3195045611","https://openalex.org/W4293107381","https://openalex.org/W4388440633","https://openalex.org/W4391331160","https://openalex.org/W4391529572","https://openalex.org/W4391667267","https://openalex.org/W4398199095","https://openalex.org/W4400894167","https://openalex.org/W4405304080"],"related_works":[],"abstract_inverted_index":{"The":[0],"efficiency":[1],"of":[2,32,45,77,119,156,166,180],"Intelligent":[3],"Transport":[4],"Systems":[5],"(ITS)":[6],"runs":[7],"on":[8,122,150],"high-quality":[9,69],"traffic":[10,36,152,188],"data,":[11,27],"however":[12],"in":[13,178],"real-world":[14],"deployments,":[15],"sensors":[16],"failures,":[17],"communication":[18],"interruptions":[19],"or":[20],"other":[21],"issues":[22],"often":[23],"lead":[24],"to":[25,67,100],"missing":[26],"which":[28],"affects":[29],"the":[30,42,75,78,83,102,110,139,144,164,171],"performance":[31,141],"ITS.":[33],"Aiming":[34],"at":[35],"data\u2019s":[37],"complex":[38],"spatio-temporal":[39],"characteristics,":[40],"although":[41],"latent":[43],"factorization":[44],"tensors":[46],"(LFT)":[47],"model":[48,92,140,173],"has":[49],"been":[50],"widely":[51],"used":[52],"for":[53,63,187],"missing-value":[54],"completion,":[55],"its":[56],"non-convex":[57],"objective":[58],"function":[59],"makes":[60],"it":[61,129,135],"difficult":[62],"first-order":[64],"optimization":[65,98],"methods":[66,177],"approximate":[68],"second-order":[70,97],"stationary":[71],"points,":[72],"therefore":[73],"limiting":[74],"improvement":[76],"completion":[79],"accuracy.":[80],"To":[81,108],"address":[82,109],"issues,":[84,111],"this":[85,112],"paper":[86,113],"proposes":[87,114],"an":[88],"incomplete":[89],"tensor":[90],"complementation":[91,103],"combining":[93],"Tucker":[94,123],"decomposition":[95],"and":[96,105,126,182],"strategy":[99],"improve":[101,138],"accuracy":[104,181],"convergence":[106],"stability.":[107],"a":[115,184],"Second-order":[116],"Latent":[117],"Factorization":[118],"Tensors":[120],"based":[121],"Decomposition":[124],"(SLTD),":[125],"efficiently":[127],"solves":[128],"via":[130],"Gauss-Newton":[131],"approximation,":[132],"so":[133],"that":[134,170],"can":[136],"significantly":[137],"while":[142],"keeping":[143],"computational":[145],"cost":[146],"low.":[147],"Experimental":[148],"results":[149],"real":[151],"datasets":[153],"(in":[154],"terms":[155,179],"average":[157],"vehicle":[158],"speed)":[159],"from":[160],"four":[161],"cities":[162],"verify":[163],"effectiveness":[165],"SLTD.":[167],"Results":[168],"show":[169],"proposed":[172],"outperforms":[174],"existing":[175],"prevailing":[176],"provides":[183],"better":[185],"solution":[186],"data":[189],"completion.":[190]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-29T00:00:00"}