{"id":"https://openalex.org/W4388283396","doi":"https://doi.org/10.1109/tai.2023.3329079","title":"Low-Rank Multilabel Learning Based on Nonlinear Mapping","display_name":"Low-Rank Multilabel Learning Based on Nonlinear Mapping","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388283396","doi":"https://doi.org/10.1109/tai.2023.3329079"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3329079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3329079","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5046311971","display_name":"Changzhong Wang","orcid":"https://orcid.org/0000-0002-4136-2433"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changzhong Wang","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China","College of Mathematics, Bohai University, Jinzhou, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Mathematics, Bohai University, Jinzhou, Liaoning, China","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114973704","display_name":"Yan Wang","orcid":"https://orcid.org/0009-0005-5417-4588"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008486437","display_name":"Tingquan Deng","orcid":"https://orcid.org/0000-0002-0168-5414"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingquan Deng","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["College of Information Science and Technology, Nantong University, Nantong, Jiangsu, China","College of Information Science and Technology, Nantong university, Nantong, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Nantong University, Nantong, Jiangsu, China","institution_ids":["https://openalex.org/I199305430"]},{"raw_affiliation_string":"College of Information Science and Technology, Nantong university, Nantong, Jiangsu, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003563112","display_name":"Yuhua Qian","orcid":"https://orcid.org/0000-0001-6772-4247"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Qian","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University, Taiyuan, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University, Taiyuan, P.R. China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046311971"],"corresponding_institution_ids":["https://openalex.org/I151727225","https://openalex.org/I97009856"],"apc_list":null,"apc_paid":null,"fwci":0.7024,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76658457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"5","issue":"6","first_page":"2693","last_page":"2707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.619462251663208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.569418728351593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680566430091858},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5518121719360352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5338336825370789},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5210216045379639},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5053489804267883},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.504165768623352},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4737461507320404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44224950671195984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41148796677589417},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.18578511476516724}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.619462251663208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.569418728351593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680566430091858},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5518121719360352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5338336825370789},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5210216045379639},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5053489804267883},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.504165768623352},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4737461507320404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44224950671195984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41148796677589417},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.18578511476516724},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3329079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3329079","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3596841339","display_name":null,"funder_award_id":"61976027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3647642487","display_name":null,"funder_award_id":"12171115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3711735600","display_name":null,"funder_award_id":"61976120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476944060","display_name":null,"funder_award_id":"BK20231337","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W65280498","https://openalex.org/W1515340688","https://openalex.org/W1969954882","https://openalex.org/W1994356124","https://openalex.org/W2019899889","https://openalex.org/W2045610202","https://openalex.org/W2052684427","https://openalex.org/W2090630554","https://openalex.org/W2107372416","https://openalex.org/W2114315281","https://openalex.org/W2119466907","https://openalex.org/W2124608575","https://openalex.org/W2140335411","https://openalex.org/W2156935079","https://openalex.org/W2166912588","https://openalex.org/W2176228818","https://openalex.org/W2198007625","https://openalex.org/W2605997098","https://openalex.org/W2609724507","https://openalex.org/W2747053038","https://openalex.org/W2751576135","https://openalex.org/W2789037498","https://openalex.org/W2794084401","https://openalex.org/W2800615729","https://openalex.org/W2889271120","https://openalex.org/W2889993887","https://openalex.org/W2938834426","https://openalex.org/W2963745697","https://openalex.org/W2981142240","https://openalex.org/W2988566768","https://openalex.org/W2993915582","https://openalex.org/W3006349040","https://openalex.org/W3041489214","https://openalex.org/W3043763597","https://openalex.org/W3080935557","https://openalex.org/W3081879519","https://openalex.org/W3083230032","https://openalex.org/W3087715763","https://openalex.org/W3088016422","https://openalex.org/W3109641518","https://openalex.org/W3122596523","https://openalex.org/W3184825405","https://openalex.org/W3185809544","https://openalex.org/W3198831142","https://openalex.org/W4308933228","https://openalex.org/W6640485552","https://openalex.org/W6681897715","https://openalex.org/W6683944004","https://openalex.org/W6683986530"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W2375518579","https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2488129135","https://openalex.org/W4312219546","https://openalex.org/W2377538627"],"abstract_inverted_index":{"The":[0,169,183],"relationship":[1,52,68],"between":[2,11,31,53,69],"features":[3,70],"and":[4,34,71,92,129,166,198],"labels,":[5,128],"as":[6,8],"well":[7],"the":[9,38,51,67,75,85,101,112,125,135,139,147,177,192,202],"correlation":[10],"labels":[12,72,77,152],"are":[13],"two":[14,54],"important":[15],"factors":[16],"that":[17,25,103,146,191],"affect":[18],"multi-label":[19,171,181,188,205],"learning.":[20,182],"Many":[21],"existing":[22],"studies":[23],"assume":[24],"there":[26],"is":[27,63,115,143,161,199],"a":[28,60,79,119,131,156],"linear":[29,104],"mapping":[30,62,74,133],"sample":[32,136],"space":[33,114,122,137,142],"label":[35,82,94,113],"space.":[36,83],"However,":[37],"linearity":[39],"assumption":[40],"often":[41],"does":[42],"not":[43],"hold":[44],"in":[45],"practical":[46],"applications,":[47],"especially":[48],"when":[49],"characterizing":[50],"high-dimensional":[55],"spaces.":[56],"In":[57,110],"this":[58],"paper,":[59],"nonlinear":[61,88,132],"used":[64],"to":[65,78,123,138,163,201],"describe":[66],"by":[73],"original":[76],"low-rank":[80,120,140],"latent":[81,121,141],"With":[84],"help":[86],"of":[87,127,150,179],"mapping,":[89],"more":[90],"compact":[91],"accurate":[93],"information":[95],"can":[96,174],"be":[97,154],"mined,":[98],"effectively":[99,175],"overcoming":[100],"defect":[102],"models":[105],"cannot":[106],"fit":[107],"real":[108],"labels.":[109],"particular,":[111],"firstly":[116],"decomposed":[117],"into":[118],"reduce":[124],"dimension":[126],"then":[130],"from":[134],"constructed.":[144],"Considering":[145],"predicted":[148],"values":[149],"similar":[151],"should":[153],"closer,":[155],"comprehensive":[157],"manifold":[158],"regularization":[159],"term":[160],"introduced":[162],"learn":[164],"local":[165],"global":[167],"label-correlation.":[168],"proposed":[170,193],"learning":[172,206],"method":[173,194],"solve":[176],"problem":[178],"missing":[180],"experimental":[184],"results":[185],"on":[186],"ten":[187],"databases":[189],"shows":[190],"has":[195],"good":[196],"robustness":[197],"superior":[200],"most":[203],"advanced":[204],"methods.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
