{"id":"https://openalex.org/W7136105405","doi":"https://doi.org/10.1109/tip.2026.3672381","title":"Discriminative-Generative Positive and Unlabeled Learning","display_name":"Discriminative-Generative Positive and Unlabeled Learning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7136105405","doi":"https://doi.org/10.1109/tip.2026.3672381","pmid":"https://pubmed.ncbi.nlm.nih.gov/41838493"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3672381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3672381","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5009225576","display_name":"Botai Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Botai Yuan","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-4612-7551","affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129584118","display_name":"Chen Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4092-9856","affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129620328","display_name":"Dacheng Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129536551","display_name":"Jie Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4801-7162","affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26547075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"2969","last_page":"2980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.15119999647140503,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.15119999647140503,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.05570000037550926,"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/T10656","display_name":"Child and Animal Learning Development","score":0.051899999380111694,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3853999972343445},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3012000024318695},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.29409998655319214},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2612999975681305},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.26080000400543213}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6049000024795532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5134999752044678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30869999527931213},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3012000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25929999351501465}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3672381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3672381","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41838493","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41838493","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.8038529753684998,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G351810823","display_name":null,"funder_award_id":"62336003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3528468396","display_name":null,"funder_award_id":"12371510","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5623680443","display_name":null,"funder_award_id":"62376153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Positive":[0,87],"and":[1,19,30,80,88,102,132,153,180,208,224,235,239],"Unlabeled":[2,89],"(PU)":[3],"learning":[4,72,175],"aims":[5],"to":[6,70,75,127,135,169,176,192,219],"train":[7],"a":[8,14,27,43,48,82,98,103,123,188,203],"suitable":[9],"classifier":[10,146],"simply":[11],"based":[12],"on":[13,150,237],"set":[15],"of":[16,38,56,97,160,206,229],"positive":[17,133],"data":[18,99,118],"unlabeled":[20],"data.":[21,156],"Existing":[22],"PU":[23,50,63,71,174,200],"methods":[24,201,232],"usually":[25],"follow":[26],"discriminative":[28,49,62,78,104,142,181],"framework":[29],"yield":[31],"limited":[32,57],"classification":[33],"performance,":[34],"because":[35],"the":[36,54,76,138,145,151,158,166,220,226],"lack":[37],"explicit":[39],"negative":[40,130],"labels":[41],"poses":[42],"great":[44],"barrier":[45],"in":[46,73,113,187],"training":[47,155],"model.":[51],"To":[52,157],"address":[53],"challenge":[55],"supervisory":[58,139],"information":[59],"faced":[60],"by":[61,233],"methods,":[64],"this":[65,163],"paper":[66],"introduces":[67],"generative":[68,178],"operation":[69],"addition":[74],"conventional":[77],"operation,":[79],"proposes":[81],"novel":[83],"algorithm":[84],"dubbed":[85],"\"Discriminative-Generative":[86],"Learning\"":[90],"(DGPU).":[91],"Specifically,":[92],"our":[93,161,194,214],"proposed":[94,195],"DGPU":[95,196,215],"consists":[96],"generation":[100,119],"stage":[101],"annotation":[105,143],"stage,":[106,120,144],"which":[107],"can":[108],"benefit":[109,183],"from":[110,184],"each":[111,185],"other":[112,186],"an":[114],"iterative":[115],"manner.":[116],"In":[117,141,212],"we":[121],"employ":[122],"tailored":[124],"diffusion":[125,171],"model":[126,179,182],"generate":[128],"high-quality":[129],"examples":[131,134],"efficiently":[136],"enrich":[137],"information.":[140],"is":[147,216],"further":[148],"refined":[149],"initial":[152],"generated":[154],"best":[159],"knowledge,":[162],"study":[164],"represents":[165],"first":[167],"attempt":[168],"integrate":[170],"models":[172],"into":[173],"make":[177],"collaborative":[189],"way.":[190],"Thanks":[191],"this,":[193],"significantly":[197],"outperforms":[198],"existing":[199,230],"across":[202],"wide":[204],"range":[205],"synthetic":[207],"real-world":[209],"benchmark":[210],"datasets.":[211],"particular,":[213],"almost":[217],"comparable":[218],"fully":[221],"supervised":[222],"counterpart,":[223],"improves":[225],"test":[227],"accuracy":[228],"state-of-the-art":[231],"3.89%":[234],"2.56%":[236],"CIFAR-10":[238],"CelebA":[240],"datasets,":[241],"respectively.":[242]},"counts_by_year":[],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2026-03-17T00:00:00"}