{"id":"https://openalex.org/W2966460909","doi":"https://doi.org/10.24963/ijcai.2019/460","title":"Label distribution learning with label-specific features","display_name":"Label distribution learning with label-specific features","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966460909","doi":"https://doi.org/10.24963/ijcai.2019/460","mag":"2966460909"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/460","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/460","pdf_url":"https://www.ijcai.org/proceedings/2019/0460.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0460.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101415426","display_name":"Tingting Ren","orcid":"https://orcid.org/0000-0003-4981-8922"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Ren","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072069474","display_name":"Xiuyi Jia","orcid":"https://orcid.org/0000-0002-9879-9855"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyi Jia","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing University of Posts and Telecommunications, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371197","display_name":"Weiwei Li","orcid":"https://orcid.org/0000-0001-5781-5401"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Li","raw_affiliation_strings":["College of Astronautics, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Astronautics, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778791","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-6071-8888"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017096005","display_name":"Zechao Li","orcid":"https://orcid.org/0000-0002-5341-5985"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechao Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2464,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.93691617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3318","last_page":"3324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T11309","display_name":"Music and Audio Processing","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7710450887680054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7108873128890991},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6745244264602661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6500139236450195},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.590506911277771},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5734740495681763},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5631764531135559},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5461229085922241},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5439505577087402},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5330259799957275},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5305108428001404},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4755938947200775},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4310840666294098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3790627419948578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710450887680054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7108873128890991},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6745244264602661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6500139236450195},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.590506911277771},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5734740495681763},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5631764531135559},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5461229085922241},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5439505577087402},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5330259799957275},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5305108428001404},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4755938947200775},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4310840666294098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3790627419948578},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/460","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/460","pdf_url":"https://www.ijcai.org/proceedings/2019/0460.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/460","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/460","pdf_url":"https://www.ijcai.org/proceedings/2019/0460.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1439746507","display_name":null,"funder_award_id":"61773208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3254963032","display_name":"\u9762\u5411\u591a\u5a92\u4f53\u8bed\u4e49\u7406\u89e3\u7684\u89c6\u89c9\u7279\u5f81\u8868\u793a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5438267384","display_name":null,"funder_award_id":"BK20170033","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6947839359","display_name":"\u76f4\u89c9\u6a21\u7cca\u4fe1\u606f\u4e0b\u7684\u4e09\u652f\u51b3\u7b56\u7c97\u7cd9\u96c6\u65b9\u6cd5\u53ca\u77e5\u8bc6\u83b7\u53d6\u7814\u7a76","funder_award_id":"71671086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7291007170","display_name":null,"funder_award_id":"BK20170809","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G731190458","display_name":"\u9762\u5411\u5f31\u76d1\u7763\u5b66\u4e60\u7684\u591a\u6807\u8bb0\u77e9\u9635\u8865\u5168\u6a21\u578b\u53ca\u5176\u6269\u5c55\u7814\u7a76","funder_award_id":"61872190","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966460909.pdf","grobid_xml":"https://content.openalex.org/works/W2966460909.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W254202083","https://openalex.org/W1529085430","https://openalex.org/W1950412479","https://openalex.org/W2066454034","https://openalex.org/W2102667697","https://openalex.org/W2106115875","https://openalex.org/W2126607811","https://openalex.org/W2137306662","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2241072627","https://openalex.org/W2330485005","https://openalex.org/W2442264559","https://openalex.org/W2488236012","https://openalex.org/W2604773025","https://openalex.org/W2741630455","https://openalex.org/W2747053038","https://openalex.org/W2787932459","https://openalex.org/W2788329408","https://openalex.org/W2788402790","https://openalex.org/W2811296027","https://openalex.org/W2889779330","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2353179089","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W1972401983"],"abstract_inverted_index":{"Label":[0],"distribution":[1],"learning":[2,8,43],"(LDL)":[3],"is":[4,25],"a":[5,27,62,113],"novel":[6,114],"machine":[7],"paradigm":[9],"to":[10,26,86,136],"deal":[11],"with":[12],"label":[13,24,132,146],"ambiguity":[14],"issues":[15],"by":[16,72,117],"placing":[17],"more":[18],"emphasis":[19],"on":[20,41,50,61,156],"how":[21],"relevant":[22],"each":[23,105,131],"particular":[28],"instance.":[29],"Many":[30],"LDL":[31,57,115,139,151],"algorithms":[32],"have":[33],"been":[34],"proposed":[35,150],"and":[36,102,127],"most":[37],"of":[38,47,80,164],"them":[39,48],"concentrate":[40],"the":[42,51,74,138,145,149,162],"models,":[44],"while":[45],"few":[46],"focus":[49],"feature":[52,64],"selection":[53],"problem.":[54],"All":[55],"existing":[56],"models":[58],"are":[59,70,90,100,133],"built":[60],"simple":[63],"space":[65],"in":[66,148],"which":[67],"all":[68,73,93,125],"features":[69,88,98,123,129],"shared":[71],"class":[75,106],"labels.":[76],"However,":[77],"this":[78,109],"kind":[79],"traditional":[81],"data":[82,159],"representation":[83],"strategy":[84],"tends":[85],"select":[87],"that":[89,99],"distinguishable":[91],"for":[92,104,124,130],"labels,":[94],"but":[95],"ignores":[96],"label-specific":[97,119],"pertinent":[101],"discriminative":[103],"label.":[107],"In":[108],"paper,":[110],"we":[111,142],"propose":[112],"algorithm":[116],"leveraging":[118],"features.":[120],"The":[121,153],"common":[122],"labels":[126],"specific":[128],"simultaneously":[134],"learned":[135],"enhance":[137],"model.":[140,152],"Moreover,":[141],"also":[143],"exploit":[144],"correlations":[147],"experimental":[154],"results":[155],"several":[157],"real-world":[158],"sets":[160],"validate":[161],"effectiveness":[163],"our":[165],"method.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-11T18:08:03.149640","created_date":"2025-10-10T00:00:00"}