{"id":"https://openalex.org/W4406529876","doi":"https://doi.org/10.1080/00401706.2025.2453206","title":"Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data","display_name":"Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data","publication_year":2025,"publication_date":"2025-01-17","ids":{"openalex":"https://openalex.org/W4406529876","doi":"https://doi.org/10.1080/00401706.2025.2453206"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2025.2453206","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2025.2453206","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","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/A5036744239","display_name":"Jiuyun Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiuyun Hu","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024713053","display_name":"Naichen Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naichen Shi","raw_affiliation_strings":["Department of Industrial & Operations Engineering, University of Michigan","Department of Industrial &amp; Operations Engineering, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial & Operations Engineering, University of Michigan","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Industrial &amp; Operations Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075324117","display_name":"Raed Al Kontar","orcid":"https://orcid.org/0000-0002-4546-324X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raed Al Kontar","raw_affiliation_strings":["Department of Industrial & Operations Engineering, University of Michigan","Department of Industrial &amp; Operations Engineering, University of Michigan, Ann Arbor"],"raw_orcid":"https://orcid.org/0000-0002-4546-324X","affiliations":[{"raw_affiliation_string":"Department of Industrial & Operations Engineering, University of Michigan","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Industrial &amp; Operations Engineering, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100652901","display_name":"Hao Yan","orcid":"https://orcid.org/0000-0002-4322-7323"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Yan","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University"],"raw_orcid":"https://orcid.org/0000-0002-4322-7323","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100652901"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02125604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":"3","first_page":"409","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11809","display_name":"Advanced NMR Techniques and Applications","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.7033431529998779},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5459659099578857},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.542281985282898},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5356974005699158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5190423130989075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3384500741958618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29921698570251465},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17054465413093567}],"concepts":[{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.7033431529998779},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5459659099578857},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.542281985282898},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5356974005699158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5190423130989075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3384500741958618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29921698570251465},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17054465413093567},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2025.2453206","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2025.2453206","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W92008980","https://openalex.org/W1963826206","https://openalex.org/W1997564656","https://openalex.org/W2000858991","https://openalex.org/W2011256616","https://openalex.org/W2024165284","https://openalex.org/W2037118876","https://openalex.org/W2038869097","https://openalex.org/W2045067839","https://openalex.org/W2063509716","https://openalex.org/W2095303958","https://openalex.org/W2130278361","https://openalex.org/W2136002544","https://openalex.org/W2145962650","https://openalex.org/W2160547390","https://openalex.org/W2258054274","https://openalex.org/W2262232454","https://openalex.org/W2292966761","https://openalex.org/W2321806326","https://openalex.org/W2342910067","https://openalex.org/W2344457357","https://openalex.org/W2734129016","https://openalex.org/W2765861043","https://openalex.org/W2787894218","https://openalex.org/W2898699838","https://openalex.org/W2948748419","https://openalex.org/W2963256582","https://openalex.org/W2963885538","https://openalex.org/W2964154549","https://openalex.org/W2978683479","https://openalex.org/W2989773826","https://openalex.org/W2997311100","https://openalex.org/W3044220115","https://openalex.org/W3095189068","https://openalex.org/W3099398162","https://openalex.org/W3106376083","https://openalex.org/W3118651011","https://openalex.org/W3128154694","https://openalex.org/W3128702248","https://openalex.org/W3201247692","https://openalex.org/W3203949809","https://openalex.org/W3214061769","https://openalex.org/W4200360717","https://openalex.org/W4223598461","https://openalex.org/W4223892716","https://openalex.org/W4224312222","https://openalex.org/W4283810750","https://openalex.org/W4286233820","https://openalex.org/W4292339981","https://openalex.org/W4295693667","https://openalex.org/W4297017196","https://openalex.org/W4312737157","https://openalex.org/W4313156423","https://openalex.org/W4313251768","https://openalex.org/W4320087195","https://openalex.org/W4361271902","https://openalex.org/W4361807042","https://openalex.org/W4380152815","https://openalex.org/W6679505136","https://openalex.org/W6803870738"],"related_works":["https://openalex.org/W3151473062","https://openalex.org/W2891735857","https://openalex.org/W4214526161","https://openalex.org/W47805180","https://openalex.org/W2093953080","https://openalex.org/W3127610061","https://openalex.org/W2891277085","https://openalex.org/W2347172331","https://openalex.org/W4226375746","https://openalex.org/W4379519626"],"abstract_inverted_index":{"We":[0,34,89],"propose":[1],"a":[2,42,54,76,94],"personalized":[3,31],"Tucker":[4],"decomposition":[5,14],"(perTucker)":[6],"to":[7,51,53],"address":[8],"the":[9],"limitations":[10],"of":[11,79],"traditional":[12],"tensor":[13,24],"methods":[15],"in":[16,69],"capturing":[17],"heterogeneity":[18],"across":[19],"different":[20],"datasets.":[21],"perTucker":[22,64],"decomposes":[23],"data":[25,70],"into":[26],"shared":[27],"global":[28],"components":[29],"and":[30,40,59,71,87,97,105],"local":[32],"components.":[33],"introduce":[35],"an":[36],"order":[37],"orthogonality":[38],"assumption":[39],"develop":[41],"proximal":[43],"gradient":[44],"regularized":[45],"block":[46],"coordinate":[47],"descent":[48],"algorithm":[49],"guaranteed":[50],"converge":[52],"stationary":[55],"point.":[56],"The":[57],"unique":[58],"common":[60],"representations":[61],"learned":[62],"by":[63],"reveal":[65],"intrinsic":[66],"statistical":[67],"patterns":[68],"provide":[72],"valuable":[73],"information":[74],"for":[75],"wide":[77],"range":[78],"downstream":[80],"analytics,":[81],"including":[82],"anomaly":[83],"detection,":[84],"source":[85],"classification,":[86],"clustering.":[88],"demonstrate":[90],"perTucker\u2019s":[91],"effectiveness":[92],"through":[93],"simulation":[95],"study":[96],"two":[98],"case":[99],"studies":[100],"on":[101],"solar":[102],"flare":[103],"detection":[104],"tonnage":[106],"signal":[107],"classification.":[108]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
