{"id":"https://openalex.org/W2983276939","doi":"https://doi.org/10.1109/tkde.2019.2951561","title":"Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning","display_name":"Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983276939","doi":"https://doi.org/10.1109/tkde.2019.2951561","mag":"2983276939"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2951561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2951561","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5079083101","display_name":"Min-Ling Zhang","orcid":"https://orcid.org/0000-0003-1880-5918"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min-Ling Zhang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766224","display_name":"Qianwen Zhang","orcid":"https://orcid.org/0000-0001-8223-0819"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian-Wen Zhang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007171218","display_name":"Jun-Peng Fang","orcid":"https://orcid.org/0000-0002-2576-4723"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Peng Fang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416181","display_name":"Yukun Li","orcid":"https://orcid.org/0000-0003-0679-289X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Kun Li","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University), Business Group of Natural Language Processing, Baidu Inc., Ministry of Education, China, Beijing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University), Business Group of Natural Language Processing, Baidu Inc., Ministry of Education, China, Beijing, China","institution_ids":["https://openalex.org/I98301712","https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074742406","display_name":"Xin Geng","orcid":"https://orcid.org/0000-0001-7729-0622"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Geng","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079083101"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":3.5004,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.94306431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9745000004768372,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8105412721633911},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6285757422447205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241662502288818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6202946305274963},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.535385012626648},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4864947199821472},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.44292357563972473},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42361077666282654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12245026230812073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105412721633911},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6285757422447205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241662502288818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6202946305274963},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.535385012626648},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4864947199821472},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.44292357563972473},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42361077666282654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12245026230812073},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2951561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2951561","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5989941293","display_name":null,"funder_award_id":"61573104","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":67,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W1490636636","https://openalex.org/W1565746575","https://openalex.org/W1864426711","https://openalex.org/W1964599475","https://openalex.org/W1971400763","https://openalex.org/W1979974203","https://openalex.org/W1980061733","https://openalex.org/W1998839399","https://openalex.org/W1999954155","https://openalex.org/W2011972438","https://openalex.org/W2027266161","https://openalex.org/W2028851602","https://openalex.org/W2029517229","https://openalex.org/W2052684427","https://openalex.org/W2072707985","https://openalex.org/W2074909580","https://openalex.org/W2096044434","https://openalex.org/W2114315281","https://openalex.org/W2118712128","https://openalex.org/W2122347864","https://openalex.org/W2123459668","https://openalex.org/W2127570136","https://openalex.org/W2137107481","https://openalex.org/W2137306662","https://openalex.org/W2138290126","https://openalex.org/W2145827727","https://openalex.org/W2150373884","https://openalex.org/W2151989798","https://openalex.org/W2154455818","https://openalex.org/W2156935079","https://openalex.org/W2160842254","https://openalex.org/W2166912588","https://openalex.org/W2185708197","https://openalex.org/W2242753553","https://openalex.org/W2269758193","https://openalex.org/W2285859684","https://openalex.org/W2330485005","https://openalex.org/W2407888200","https://openalex.org/W2482189737","https://openalex.org/W2512288612","https://openalex.org/W2604201385","https://openalex.org/W2605572715","https://openalex.org/W2767245172","https://openalex.org/W2775653686","https://openalex.org/W2906566809","https://openalex.org/W2982857584","https://openalex.org/W3008214279","https://openalex.org/W3015464002","https://openalex.org/W4210997624","https://openalex.org/W4232706428","https://openalex.org/W4244337749","https://openalex.org/W4285719527","https://openalex.org/W4301621763","https://openalex.org/W4301909677","https://openalex.org/W6602286067","https://openalex.org/W6639114710","https://openalex.org/W6677758222","https://openalex.org/W6680483772","https://openalex.org/W6680591342","https://openalex.org/W6682382506","https://openalex.org/W6682494755","https://openalex.org/W6686671984","https://openalex.org/W6694232893","https://openalex.org/W6695711977","https://openalex.org/W6713876893","https://openalex.org/W6735851450"],"related_works":["https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2995553446","https://openalex.org/W2120455979","https://openalex.org/W1989229399","https://openalex.org/W1538473628"],"abstract_inverted_index":{"Multi-label":[0],"learning":[1],"deals":[2],"with":[3,14,127,169,174],"training":[4,59,102],"examples":[5],"each":[6,86],"represented":[7],"by":[8,147,165],"a":[9,24,30,190],"single":[10],"instance":[11,60],"while":[12,61],"associated":[13,50],"multiple":[15],"class":[16],"labels,":[17],"and":[18],"the":[19,36,42,58,79,82,93,101,115,140,159],"task":[20],"is":[21,89,96,111,163],"to":[22,54,57,113,121,193],"train":[23],"predictive":[25,125,161],"model":[26,126,162],"which":[27,143],"can":[28,144],"assign":[29],"set":[31],"of":[32,45,85],"proper":[33],"labels":[34,51],"for":[35],"unseen":[37],"instance.":[38],"Existing":[39],"approaches":[40],"employ":[41],"common":[43,74],"assumption":[44,75],"equal":[46],"labeling-importance,":[47],"i.e.,":[48],"all":[49],"are":[52,69,134],"regarded":[53],"be":[55,145],"relevant":[56,87],"their":[62],"relative":[63,117],"importance":[64,83,94],"in":[65],"characterizing":[66],"its":[67],"semantics":[68],"not":[70,77,97],"differentiated.":[71],"Nonetheless,":[72],"this":[73,105],"does":[76],"reflect":[78],"fact":[80],"that":[81,109,183],"degree":[84],"label":[88,141,150],"generally":[90],"different,":[91],"though":[92],"information":[95,120,187],"directly":[98],"accessible":[99],"from":[100],"examples.":[103],"In":[104],"article,":[106],"we":[107],"show":[108],"it":[110],"beneficial":[112],"leverage":[114],"implicit":[116,185],"labeling-importance":[118],"(RLI)":[119],"help":[122],"induce":[123],"multi-label":[124,160,175,196],"strong":[128],"generalization":[129],"performance.":[130],"Specifically,":[131],"RLI":[132,171,186],"degrees":[133,172],"formalized":[135],"as":[136,189],"multinomial":[137],"distribution":[138],"over":[139],"space,":[142],"estimated":[146,170],"either":[148],"global":[149],"propagation":[151],"procedure":[152],"or":[153],"local":[154],"k-nearest":[155],"neighbor":[156],"reconstruction.":[157],"Correspondingly,":[158],"induced":[164],"fitting":[166],"modeling":[167],"outputs":[168],"along":[173],"empirical":[176],"loss":[177],"regularization.":[178],"Extensive":[179],"experiments":[180],"clearly":[181],"validate":[182],"leveraging":[184],"serves":[188],"favorable":[191],"strategy":[192],"achieve":[194],"effective":[195],"learning.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}