{"id":"https://openalex.org/W4393864826","doi":"https://doi.org/10.1109/tsmc.2024.3375456","title":"Bayesian Robust Tensor Ring Decomposition for Incomplete Multiway Data","display_name":"Bayesian Robust Tensor Ring Decomposition for Incomplete Multiway Data","publication_year":2024,"publication_date":"2024-04-03","ids":{"openalex":"https://openalex.org/W4393864826","doi":"https://doi.org/10.1109/tsmc.2024.3375456"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2024.3375456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3375456","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5015407738","display_name":"Zhenhao Huang","orcid":"https://orcid.org/0000-0001-5874-7148"},"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":"Zhenhao Huang","raw_affiliation_strings":["School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China","Ministry of Education, School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5874-7148","affiliations":[{"raw_affiliation_string":"School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Ministry of Education, School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070961417","display_name":"Yuning Qiu","orcid":"https://orcid.org/0000-0003-0268-0890"},"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"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yuning Qiu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China","RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0268-0890","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646532","display_name":"Xinqi Chen","orcid":"https://orcid.org/0000-0001-6463-1854"},"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":"Xinqi Chen","raw_affiliation_strings":["School of Automation and the Key Laboratory of Intelligent Information Processing and System Integration of IoT, Ministry of Education, Guangdong University of Technology, Guangzhou, China","Ministry of Education, School of Automation and the Key Laboratory of Intelligent Information Processing and System Integration of IoT, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6463-1854","affiliations":[{"raw_affiliation_string":"School of Automation and the Key Laboratory of Intelligent Information Processing and System Integration of IoT, Ministry of Education, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Ministry of Education, School of Automation and the Key Laboratory of Intelligent Information Processing and System Integration of IoT, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065304272","display_name":"Weijun Sun","orcid":"https://orcid.org/0000-0002-2342-4434"},"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":"Weijun Sun","raw_affiliation_strings":["111 Center for Intelligent Batch Manufacturing Based on IoT Technology and the Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2342-4434","affiliations":[{"raw_affiliation_string":"111 Center for Intelligent Batch Manufacturing Based on IoT Technology and the Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090101808","display_name":"Guoxu Zhou","orcid":"https://orcid.org/0000-0003-1187-577X"},"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":"Guoxu Zhou","raw_affiliation_strings":["School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China","Ministry of Education, School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1187-577X","affiliations":[{"raw_affiliation_string":"School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Ministry of Education, School of Automation and the Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3355,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88564761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"54","issue":"7","first_page":"4005","last_page":"4018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9896000027656555,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/outlier","display_name":"Outlier","score":0.7638732194900513},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6905983686447144},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6898037195205688},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6258884072303772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.508370578289032},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4979114532470703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4942202866077423},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.43484634160995483},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38674217462539673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35009217262268066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33614587783813477},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09337577223777771}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7638732194900513},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6905983686447144},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6898037195205688},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6258884072303772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.508370578289032},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4979114532470703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4942202866077423},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.43484634160995483},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38674217462539673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35009217262268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33614587783813477},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09337577223777771},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2024.3375456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3375456","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1585854524","display_name":null,"funder_award_id":"62203124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3882248935","display_name":"\u57fa\u4e8e\u5f20\u91cf\u7f51\u7edc\u8868\u5f81\u7684\u673a\u5668\u5b66\u4e60\u7406\u8bba\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"62071132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4870084479","display_name":null,"funder_award_id":"62073087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G526035975","display_name":null,"funder_award_id":"2023A1515012916","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8643937652","display_name":null,"funder_award_id":"2024A1515010114","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W340632675","https://openalex.org/W792141054","https://openalex.org/W1814521481","https://openalex.org/W1825959699","https://openalex.org/W1878057855","https://openalex.org/W1989811026","https://openalex.org/W1993482030","https://openalex.org/W1994040806","https://openalex.org/W2024165284","https://openalex.org/W2030927653","https://openalex.org/W2033560557","https://openalex.org/W2053514113","https://openalex.org/W2064321206","https://openalex.org/W2091449379","https://openalex.org/W2103972604","https://openalex.org/W2124608575","https://openalex.org/W2131628350","https://openalex.org/W2132267493","https://openalex.org/W2145962650","https://openalex.org/W2412278696","https://openalex.org/W2431890537","https://openalex.org/W2746272230","https://openalex.org/W2761307742","https://openalex.org/W2790888198","https://openalex.org/W2899246346","https://openalex.org/W2907967785","https://openalex.org/W2918050465","https://openalex.org/W2923380536","https://openalex.org/W2939916271","https://openalex.org/W2962708900","https://openalex.org/W2964229782","https://openalex.org/W2970760100","https://openalex.org/W2977149162","https://openalex.org/W2982317909","https://openalex.org/W2997965215","https://openalex.org/W2998322516","https://openalex.org/W3002922951","https://openalex.org/W3011789951","https://openalex.org/W3016075648","https://openalex.org/W3019867548","https://openalex.org/W3037695852","https://openalex.org/W3038214644","https://openalex.org/W3040978858","https://openalex.org/W3041045771","https://openalex.org/W3047924901","https://openalex.org/W3090929676","https://openalex.org/W3093425554","https://openalex.org/W3099910538","https://openalex.org/W3100254008","https://openalex.org/W3103299328","https://openalex.org/W3105774572","https://openalex.org/W3135385719","https://openalex.org/W3186283722","https://openalex.org/W3186785934","https://openalex.org/W3193978175","https://openalex.org/W3196876639","https://openalex.org/W3197544016","https://openalex.org/W3199706488","https://openalex.org/W3199991419","https://openalex.org/W3200346087","https://openalex.org/W3206490977","https://openalex.org/W3212436340","https://openalex.org/W4200498145","https://openalex.org/W4214526161","https://openalex.org/W4282937133","https://openalex.org/W4283030109","https://openalex.org/W4283079434","https://openalex.org/W4294233382","https://openalex.org/W4312652484","https://openalex.org/W6638909124","https://openalex.org/W6679973066","https://openalex.org/W6717575008","https://openalex.org/W6784721322"],"related_works":["https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2569661359","https://openalex.org/W2015518264","https://openalex.org/W2147201983","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2795035211","https://openalex.org/W2897298721","https://openalex.org/W2242624680"],"abstract_inverted_index":{"Robust":[0],"tensor":[1,9,20],"completion":[2],"(RTC)":[3],"aims":[4],"to":[5,57,78,107],"recover":[6],"a":[7,41,69,80],"low-rank":[8],"from":[10],"its":[11],"incomplete":[12],"observations":[13],"with":[14],"outlier":[15],"corruption.":[16],"The":[17],"recently":[18],"proposed":[19,77],"ring":[21],"(TR)":[22],"model":[23,38],"has":[24],"demonstrated":[25],"superiority":[26],"in":[27,60,128],"solving":[28],"the":[29,33,36,48,53,61,85,94,109,115],"RTC":[30,86],"problem.":[31],"However,":[32],"methods":[34],"using":[35],"TR":[37,43,50,72,95,130],"either":[39],"require":[40],"preassigned":[42],"rank":[44,96,131],"or":[45],"aggressively":[46],"pursue":[47],"minimum":[49],"rank,":[51],"where":[52],"latter":[54],"often":[55],"leads":[56],"biased":[58],"solutions":[59],"presence":[62],"of":[63,93,112,124],"noise.":[64],"To":[65],"tackle":[66],"these":[67],"bottlenecks,":[68],"Bayesian":[70,102],"robust":[71],"decomposition":[73],"(BRTR)":[74],"method":[75],"is":[76,105],"give":[79],"more":[81],"accurate":[82],"solution":[83],"for":[84],"problem,":[87],"which":[88],"can":[89,119,138],"avoid":[90],"exquisite":[91],"selection":[92],"and":[97],"penalty":[98],"parameters.":[99],"A":[100],"variational":[101],"(VB)":[103],"algorithm":[104],"developed":[106],"infer":[108],"probability":[110],"distribution":[111],"posteriors.":[113],"During":[114],"learning":[116],"process,":[117],"BRTR":[118,137],"prune":[120],"off":[121],"zero":[122],"components":[123],"core":[125],"tensors,":[126],"resulting":[127],"automatic":[129],"determination.":[132],"Extensive":[133],"experiments":[134],"show":[135],"that":[136],"achieve":[139],"significantly":[140],"improved":[141],"performance":[142],"than":[143],"other":[144],"state-of-the-art":[145],"methods.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
