{"id":"https://openalex.org/W4416148854","doi":"https://doi.org/10.1109/tetc.2025.3629677","title":"Multi-View Partial Multi-Label Learning via Class Activation Specific Features Collaborative Learning","display_name":"Multi-View Partial Multi-Label Learning via Class Activation Specific Features Collaborative Learning","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4416148854","doi":"https://doi.org/10.1109/tetc.2025.3629677"},"language":null,"primary_location":{"id":"doi:10.1109/tetc.2025.3629677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3629677","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"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 Emerging Topics in Computing","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/A5027537447","display_name":"Anhui Tan","orcid":"https://orcid.org/0009-0003-7460-0236"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anhui Tan","raw_affiliation_strings":["School of Mathematical Sciences, Huaqiao University, Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianhang Xu","orcid":"https://orcid.org/0000-0002-5913-6821"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhang Xu","raw_affiliation_strings":["School of Information Engineering, Zhejiang Ocean University, Zhoushan, China","School of Information Engineering, Zhejiang Ocean University, Zhoushan, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhejiang Ocean University, Zhoushan, China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Information Engineering, Zhejiang Ocean University, Zhoushan, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"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":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106626932","display_name":"Jiye Liang","orcid":"https://orcid.org/0000-0001-5887-9327"},"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":"Jiye Liang","raw_affiliation_strings":["Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China","Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Faculty of Automatic Control, Electronics and Computer Science, Division of Measurements and Control Systems, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control, Electronics and Computer Science, Division of Measurements and Control Systems, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027537447"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18495412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"1522","last_page":"1535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9733999967575073,"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":0.9733999967575073,"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":0.0027000000700354576,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0026000000070780516,"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":0.6051999926567078},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.5673999786376953},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5644999742507935},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5536999702453613},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5486000180244446},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5289000272750854},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4530999958515167},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4490000009536743},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.427700012922287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384000062942505},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576200008392334},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5644999742507935},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5536999702453613},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5289000272750854},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4490000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.438400000333786},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.427700012922287},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.3659999966621399},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2547000050544739},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetc.2025.3629677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3629677","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"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 Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1666447063","https://openalex.org/W2031489346","https://openalex.org/W2066340877","https://openalex.org/W2085789144","https://openalex.org/W2090630554","https://openalex.org/W2141282920","https://openalex.org/W2155803963","https://openalex.org/W2156935079","https://openalex.org/W2242753553","https://openalex.org/W2295107390","https://openalex.org/W2604723872","https://openalex.org/W2787932447","https://openalex.org/W2788462285","https://openalex.org/W2932399282","https://openalex.org/W2966027244","https://openalex.org/W2996837177","https://openalex.org/W2997124596","https://openalex.org/W3000675402","https://openalex.org/W3015362220","https://openalex.org/W3081124444","https://openalex.org/W3099518117","https://openalex.org/W3128609022","https://openalex.org/W3133128010","https://openalex.org/W3144047752","https://openalex.org/W3169047433","https://openalex.org/W3176185023","https://openalex.org/W4200055642","https://openalex.org/W4248855359","https://openalex.org/W4312290604","https://openalex.org/W4312983759","https://openalex.org/W4382467872","https://openalex.org/W4385245566","https://openalex.org/W4385756443","https://openalex.org/W4388430576","https://openalex.org/W4389352596","https://openalex.org/W4393153051","https://openalex.org/W4393160251","https://openalex.org/W4396599746","https://openalex.org/W4402727129","https://openalex.org/W4403791259"],"related_works":[],"abstract_inverted_index":{"Multi-view":[0],"partial":[1,69,161],"multi-label":[2,70,162],"learning":[3,131,163],"deals":[4],"with":[5,15,78],"scenarios":[6],"where":[7],"samples":[8],"contain":[9],"heterogeneous":[10],"features":[11,28,93],"and":[12,18,37,48,62,99,107,118,132],"are":[13],"associated":[14],"both":[16],"relevant":[17],"corrupted":[19],"labels.":[20],"Existing":[21],"methods":[22,158],"struggle":[23],"to":[24,58],"effectively":[25],"capture":[26],"label-related":[27],"through":[29,82,142],"adequate":[30],"feature":[31,60,65,76,130],"interaction":[32],"while":[33,139],"simultaneously":[34],"integrating":[35],"inter-":[36],"intra-view":[38],"features.":[39],"To":[40],"address":[41],"these":[42],"challenges,":[43],"we":[44,121],"propose":[45],"a":[46,123],"robust":[47,129],"scalable":[49],"framework,":[50],"Class":[51,87,101],"Activation":[52,88],"Specific":[53],"Features":[54],"Collaborative":[55],"Network,":[56],"designed":[57],"handle":[59],"heterogeneity":[61],"facilitate":[63],"comprehensive":[64],"fusion":[66],"in":[67,159],"multi-view":[68,92,160],"learning.":[71],"The":[72],"framework":[73],"integrates":[74],"label-specific":[75],"extraction":[77],"collaborative":[79],"information":[80,112],"propagation":[81],"two":[83],"key":[84],"components:(1)":[85],"View-Specific":[86],"Map,":[89],"which":[90,105],"transforms":[91],"into":[94],"compact":[95],"class":[96,110],"label":[97,111],"representations,":[98],"(2)":[100],"Information":[102],"Propagation":[103],"Correction,":[104],"refines":[106],"propagates":[108],"accurate":[109],"by":[113],"leveraging":[114],"graph":[115],"convolutional":[116],"networks":[117],"transformers.":[119],"Additionally,":[120],"introduce":[122],"multi-faceted":[124],"loss":[125],"function":[126],"that":[127,151],"promotes":[128],"architectural":[133],"stability":[134],"via":[135],"consistency-based":[136],"structural":[137],"loss,":[138],"improving":[140],"generalization":[141],"knowledge":[143],"distillation.":[144],"Extensive":[145],"experiments":[146],"on":[147],"benchmark":[148],"datasets":[149],"demonstrate":[150],"the":[152],"proposed":[153],"model":[154],"significantly":[155],"outperforms":[156],"state-of-the-art":[157],"tasks.":[164]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-11-12T00:00:00"}
