{"id":"https://openalex.org/W4416250374","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229241","title":"Dual Representation Space Optimization for Multi-Label Text Classification","display_name":"Dual Representation Space Optimization for Multi-Label Text Classification","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250374","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229241"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":"https://openalex.org/A5101196808","display_name":"Binjie Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binjie Sun","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707916","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-6591-0916"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346161","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-4559-5242"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051567650","display_name":"Xiaobing Zhou","orcid":"https://orcid.org/0000-0001-8258-3729"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Zhou","raw_affiliation_strings":["Yunnan University,School of Information Science and Engineering,Kunming,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yunnan University,School of Information Science and Engineering,Kunming,China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16186911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9836000204086304,"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":0.9836000204086304,"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":0.0038999998942017555,"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/T10028","display_name":"Topic Modeling","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/representation","display_name":"Representation (politics)","score":0.6843000054359436},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6238999962806702},{"id":"https://openalex.org/keywords/dual-representation","display_name":"Dual representation","score":0.5637999773025513},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.5613999962806702},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.559499979019165},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5042999982833862},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4449000060558319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451000213623047},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6843000054359436},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621399998664856},{"id":"https://openalex.org/C84750791","wikidata":"https://www.wikidata.org/wiki/Q3427408","display_name":"Dual representation","level":3,"score":0.5637999773025513},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.5613999962806702},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.559499979019165},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.487199991941452},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.26589998602867126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1781770377","https://openalex.org/W2074909580","https://openalex.org/W2739996966","https://openalex.org/W2905317234","https://openalex.org/W3080994088","https://openalex.org/W3109636347","https://openalex.org/W3111099392","https://openalex.org/W3158381863","https://openalex.org/W3175301415","https://openalex.org/W3177232285","https://openalex.org/W3185166685","https://openalex.org/W3186290349","https://openalex.org/W4221151676","https://openalex.org/W4224616393","https://openalex.org/W4285114401","https://openalex.org/W4312839074","https://openalex.org/W4360820774","https://openalex.org/W4382202983","https://openalex.org/W4385339003"],"related_works":[],"abstract_inverted_index":{"Multi-label":[0],"text":[1],"classification":[2],"(MLTC)":[3],"presents":[4],"significant":[5],"challenges":[6,34,69],"due":[7],"to":[8,45,96],"the":[9,16,101],"need":[10],"for":[11,29,64],"accurate":[12],"document":[13,79],"representations":[14,80],"and":[15,85,123],"effective":[17],"modeling":[18],"of":[19],"complex":[20],"label":[21,27,47,83,98,124],"dependencies.":[22],"Existing":[23],"methods":[24],"either":[25],"underutilize":[26],"semantics":[28,84],"representation":[30,121],"generation":[31],"or":[32],"face":[33],"in":[35,100,118],"fully":[36],"capturing":[37],"inter-label":[38,94],"dependencies":[39,95],"using":[40],"contrastive":[41,89],"learning,":[42],"often":[43],"leading":[44],"suboptimal":[46],"predictions.":[48],"To":[49],"address":[50],"these":[51,68],"issues,":[52],"we":[53],"propose":[54],"a":[55,74],"novel":[56],"end-to-end":[57],"framework,":[58],"Dual":[59],"Representation":[60],"Space":[61],"Optimization":[62],"(DRSO),":[63],"MLTC.":[65],"DRSO":[66,111],"tackles":[67],"through":[70],"two":[71],"key":[72],"components:":[73],"semantic-aware":[75],"network":[76],"that":[77,92,110],"refines":[78],"by":[81],"leveraging":[82],"an":[86],"adaptive":[87],"multi-label":[88],"learning":[90],"mechanism":[91],"captures":[93],"optimize":[97],"distributions":[99],"prediction":[102,125],"space.":[103],"Extensive":[104],"experiments":[105],"on":[106],"benchmark":[107],"datasets":[108],"demonstrate":[109],"outperforms":[112],"state-of-the-art":[113],"methods,":[114],"showcasing":[115],"its":[116],"effectiveness":[117],"enhancing":[119],"both":[120],"quality":[122],"accuracy<sup":[126],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[128]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-11-14T00:00:00"}