{"id":"https://openalex.org/W7094956771","doi":"https://doi.org/10.1145/3746027.3755015","title":"Trusted Open-World Multi-View Classification with Dynamic Opinion Aggregation","display_name":"Trusted Open-World Multi-View Classification with Dynamic Opinion Aggregation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W7094956771","doi":"https://doi.org/10.1145/3746027.3755015"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":null,"display_name":"Zhicheng Dong","orcid":"https://orcid.org/0000-0002-6606-0941"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhicheng Dong","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaodong Yue","orcid":"https://orcid.org/0000-0002-0536-1345"},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Yue","raw_affiliation_strings":["Institute of Aritificial Intelligence, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Aritificial Intelligence, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yufei Chen","orcid":"https://orcid.org/0000-0002-3645-9046"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Chen","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yuxian Zhou","orcid":"https://orcid.org/0009-0001-2401-3688"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxian Zhou","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75990315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1181","last_page":"1189"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.43720000982284546,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.43720000982284546,"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":0.14499999582767487,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.08560000360012054,"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/robustness","display_name":"Robustness (evolution)","score":0.5924000144004822},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5613999962806702},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5418000221252441},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.41260001063346863},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4065000116825104},{"id":"https://openalex.org/keywords/data-integrity","display_name":"Data integrity","score":0.34279999136924744},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.33629998564720154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400000095367432},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5924000144004822},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5613999962806702},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5313000082969666},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3889000117778778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3822000026702881},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C113839178","wikidata":"https://www.wikidata.org/wiki/Q7631418","display_name":"Subjective logic","level":3,"score":0.32749998569488525},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2986046992","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Information aggregation","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7349609456","display_name":null,"funder_award_id":"62476165,62173252,62472315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2155904486","https://openalex.org/W2963149653","https://openalex.org/W2969083552","https://openalex.org/W3108655343","https://openalex.org/W4224926219","https://openalex.org/W4283800180","https://openalex.org/W4382466079","https://openalex.org/W4393156830"],"related_works":[],"abstract_inverted_index":{"Multi-view":[0],"classification":[1,15],"has":[2],"demonstrated":[3],"its":[4],"ability":[5],"to":[6,12,89,129],"integrate":[7],"diverse":[8],"sources":[9],"of":[10,22,59,66,93,145],"information":[11],"significantly":[13],"boost":[14],"accuracy.":[16],"To":[17,51],"further":[18],"enhance":[19],"the":[20,57,64,91,141],"reliability":[21,142],"these":[23,33,97],"results,":[24],"trusted":[25],"multi-view":[26,119,138],"learning":[27],"methods":[28],"have":[29],"been":[30],"developed.":[31],"However,":[32],"approaches":[34],"are":[35],"designed":[36],"for":[37,81],"closed-set":[38],"scenarios":[39],"and":[40,110,143],"fail":[41],"when":[42],"novel":[43],"or":[44],"unknown":[45,68,118],"categories":[46,69],"appear":[47],"in":[48],"open-world":[49],"contexts.":[50],"address":[52],"this":[53,82,113],"limitation,":[54],"we":[55,85,99],"introduce":[56],"concept":[58],"Open":[60],"Multi-View":[61,78],"Learning,":[62],"with":[63,70],"objective":[65],"detecting":[67],"low":[71],"confidence":[72],"scores.":[73],"We":[74],"propose":[75,100],"Trusted":[76],"Open-World":[77],"Classification":[79],"method":[80],"problem.":[83],"Specifically,":[84],"employ":[86],"subjective":[87],"logic":[88],"measure":[90],"uncertainty":[92,108],"data":[94],"views.":[95,133],"On":[96],"grounds,":[98],"dynamic":[101],"opinion":[102,123],"aggregation":[103],"strategy":[104,114],"based":[105],"on":[106,136],"their":[107],"measurements":[109],"theoretically":[111],"prove":[112],"can":[115],"effectively":[116],"detect":[117],"categories.":[120],"The":[121],"inter-view":[122],"consistency":[124],"regularization":[125],"is":[126],"also":[127],"adopted":[128],"mitigate":[130],"conflicts":[131],"between":[132],"Experiments":[134],"conducted":[135],"various":[137],"datasets":[139],"validate":[140],"robustness":[144],"our":[146],"method.":[147]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-25T00:00:00"}