{"id":"https://openalex.org/W7137866454","doi":"https://doi.org/10.1609/aaai.v40i30.39780","title":"Trusted Multi-view Learning for Long-tailed Classification","display_name":"Trusted Multi-view Learning for Long-tailed Classification","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137866454","doi":"https://doi.org/10.1609/aaai.v40i30.39780"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i30.39780","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i30.39780","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i30.39780","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023645998","display_name":"Chuanqing Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuanqing Tang","raw_affiliation_strings":["Southwestern University of Finance and Economics\nArtificial Intelligence and Digital Finance Key Laboratory of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics\nArtificial Intelligence and Digital Finance Key Laboratory of Sichuan Province","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129679904","display_name":"Yifei Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Shi","raw_affiliation_strings":["Southwestern University of Finance and Economics"],"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guanghao Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghao Lin","raw_affiliation_strings":["Southwestern University of Finance and Economics"],"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129673215","display_name":"Lei Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xing","raw_affiliation_strings":["Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129743704","display_name":"Long Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Shi","raw_affiliation_strings":["Southwestern University of Finance and Economics\nArtificial Intelligence and Digital Finance Key Laboratory of Sichuan Province"],"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics\nArtificial Intelligence and Digital Finance Key Laboratory of Sichuan Province","institution_ids":["https://openalex.org/I204831749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023645998"],"corresponding_institution_ids":["https://openalex.org/I204831749"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0868697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"30","first_page":"25814","last_page":"25822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.33070001006126404,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.33070001006126404,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.17090000212192535,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.10939999669790268,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7138000130653381},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.657800018787384},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5385000109672546},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5034999847412109},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.44999998807907104},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.361299991607666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495999932289124},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.657800018787384},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40880000591278076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3718000054359436},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3382999897003174},{"id":"https://openalex.org/C2776831232","wikidata":"https://www.wikidata.org/wiki/Q966812","display_name":"Trusted Computing","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2955999970436096},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C2986046992","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Information aggregation","level":2,"score":0.2639999985694885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i30.39780","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i30.39780","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i30.39780","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i30.39780","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.761994481086731,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Class":[0],"imbalance":[1,37],"has":[2],"been":[3],"extensively":[4],"studied":[5],"in":[6,13,39],"single-view":[7],"scenarios;":[8],"however,":[9],"addressing":[10],"this":[11,29],"challenge":[12],"multi-view":[14,40,107,132],"contexts":[15],"remains":[16],"an":[17,111],"open":[18],"problem,":[19],"with":[20],"even":[21],"scarcer":[22],"research":[23],"focusing":[24],"on":[25,56,130],"trustworthy":[26],"solutions.":[27],"In":[28,92],"paper,":[30],"we":[31,71,97],"tackle":[32],"a":[33,47,73,99],"particularly":[34],"challenging":[35],"class":[36,126],"problem":[38],"scenarios:":[41],"long-tailed":[42,131],"classification.":[43],"We":[44],"propose":[45],"TMLC,":[46],"Trusted":[48],"Multi-view":[49],"Long-tailed":[50],"Classification":[51],"framework,":[52],"which":[53],"makes":[54],"contributions":[55],"two":[57],"critical":[58],"aspects:":[59],"opinion":[60,76],"aggregation":[61,77],"and":[62,109],"pseudo-data":[63,95],"generation.":[64],"Specifically,":[65],"inspired":[66],"by":[67,86],"Social":[68],"Identity":[69],"Theory,":[70],"design":[72],"group":[74],"consensus":[75],"mechanism":[78],"that":[79,116,135],"guides":[80],"decision-making":[81],"toward":[82],"the":[83,87,90,122],"direction":[84],"favored":[85],"majority":[88],"of":[89,94,125,140],"group.":[91],"terms":[93],"generation,":[96],"introduce":[98],"novel":[100],"distance":[101],"metric":[102],"to":[103],"adapt":[104],"SMOTE":[105],"for":[106],"scenarios":[108],"develop":[110],"uncertainty-guided":[112],"data":[113],"generation":[114],"module":[115],"produces":[117],"high-quality":[118],"pseudo-data,":[119],"effectively":[120],"mitigating":[121],"adverse":[123],"effects":[124],"imbalance.":[127],"Extensive":[128],"experiments":[129],"datasets":[133],"demonstrate":[134],"our":[136],"model":[137],"is":[138],"capable":[139],"achieving":[141],"superior":[142],"performance.":[143]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2026-03-18T00:00:00"}
