{"id":"https://openalex.org/W4408254217","doi":"https://doi.org/10.1109/tkde.2025.3548298","title":"LIOF: Make the Learned Index Learn Faster With Higher Accuracy","display_name":"LIOF: Make the Learned Index Learn Faster With Higher Accuracy","publication_year":2025,"publication_date":"2025-03-05","ids":{"openalex":"https://openalex.org/W4408254217","doi":"https://doi.org/10.1109/tkde.2025.3548298"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3548298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3548298","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/A5101794864","display_name":"Tao Ji","orcid":"https://orcid.org/0000-0002-7671-5921"},"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":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Ji","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","Engineering, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Engineering, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114337269","display_name":"Kai Zhong","orcid":null},"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":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhong","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","Engineering, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Engineering, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047896725","display_name":"Luming Sun","orcid":"https://orcid.org/0000-0003-0538-2960"},"institutions":[{"id":"https://openalex.org/I4210150405","display_name":"Hongzhiwei Technology (China)","ror":"https://ror.org/04bapa014","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210150405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luming Sun","raw_affiliation_strings":["Yunxi Technology Company Ltd., Shanghai, China","Yunxi Technology Co., Ltd., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Yunxi Technology Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210150405"]},{"raw_affiliation_string":"Yunxi Technology Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210150405"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiyan Li","orcid":"https://orcid.org/0009-0007-2620-7623"},"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":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyan Li","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","Engineering, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Engineering, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619237","display_name":"Cuiping Li","orcid":"https://orcid.org/0000-0003-0089-1045"},"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":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiping Li","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","Engineering, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Engineering, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420391","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0001-8132-9382"},"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":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","Engineering, Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Engineering, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101794864"],"corresponding_institution_ids":["https://openalex.org/I1327237609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05191787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"6","first_page":"3499","last_page":"3513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.13580000400543213,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.13580000400543213,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.12710000574588776,"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/computer-science","display_name":"Computer science","score":0.802046537399292},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5960152745246887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39251282811164856},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1087268590927124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802046537399292},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5960152745246887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39251282811164856},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1087268590927124}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3548298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3548298","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":[{"display_name":"Quality Education","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1910011397","display_name":null,"funder_award_id":"U23A20299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2079473452","display_name":null,"funder_award_id":"U24B20144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3763756418","display_name":null,"funder_award_id":"62276270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3972953005","display_name":null,"funder_award_id":"62322214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8385808830","display_name":null,"funder_award_id":"62172424","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1989750313","https://openalex.org/W1994655805","https://openalex.org/W2066799613","https://openalex.org/W2161694911","https://openalex.org/W2945486614","https://openalex.org/W2948233700","https://openalex.org/W2962771342","https://openalex.org/W2967734741","https://openalex.org/W2979531022","https://openalex.org/W3020084632","https://openalex.org/W3029532343","https://openalex.org/W3029564598","https://openalex.org/W3033065823","https://openalex.org/W3081786030","https://openalex.org/W3092053846","https://openalex.org/W3107842002","https://openalex.org/W3109377487","https://openalex.org/W3164254023","https://openalex.org/W4230024212","https://openalex.org/W4380551566","https://openalex.org/W4381710487","https://openalex.org/W4383749424","https://openalex.org/W4390204234","https://openalex.org/W6637050416","https://openalex.org/W6640015359","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6752031173","https://openalex.org/W6753311412","https://openalex.org/W6760378562","https://openalex.org/W6770479595","https://openalex.org/W6775525759","https://openalex.org/W6778299026","https://openalex.org/W6779775702","https://openalex.org/W6779883736","https://openalex.org/W6787977230","https://openalex.org/W6790987946","https://openalex.org/W6791517003","https://openalex.org/W6794312295","https://openalex.org/W6800297318","https://openalex.org/W6800318332","https://openalex.org/W6851389204","https://openalex.org/W6852509504","https://openalex.org/W6853589243","https://openalex.org/W6854169943","https://openalex.org/W6854993985","https://openalex.org/W6858536170","https://openalex.org/W7061648608"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Learned":[0,94],"indexes,":[1,59],"emerging":[2],"as":[3],"a":[4,85,99,196,200,210,232],"promising":[5],"alternative":[6],"to":[7,16,51,72,180,184,223],"traditional":[8],"indexes":[9,30,131],"like":[10],"B+Tree,":[11],"utilize":[12,225],"machine":[13],"learning":[14],"models":[15,140],"enhance":[17],"query":[18],"performance":[19],"and":[20,38,66,76,101,111,120,155,199,214,235,243,250,264],"reduce":[21],"memory":[22],"usage.":[23],"However,":[24],"the":[25,39,53,93,108,113,129,143,150,162,182,265],"widespread":[26],"adoption":[27],"of":[28,44,56,115,126,145,227],"learned":[29,58,122,130,269],"is":[31,132],"limited":[32],"by":[33,177],"their":[34],"expensive":[35],"training":[36,109,163,240,262],"cost":[37],"need":[40],"for":[41,118,128,138,166,189,268],"high":[42],"accuracy":[43,114,267],"internal":[45],"models.":[46,192],"Although":[47],"some":[48],"studies":[49],"attempt":[50],"optimize":[52],"building":[54],"process":[55,110],"these":[57],"existing":[60],"methods":[61],"are":[62,69],"restrictive":[63],"in":[64,260],"scope":[65],"applicability.":[67],"They":[68],"usually":[70],"tailored":[71],"specific":[73],"index":[74,116,139,190],"types":[75],"heavily":[77],"rely":[78],"on":[79,142,248],"pre-trained":[80],"model":[81,117,157,220],"knowledge,":[82],"making":[83],"deployment":[84],"challenging":[86],"task.":[87],"In":[88],"this":[89],"work,":[90],"we":[91,171,194,230,253],"introduce":[92,172],"Index":[95],"Optimization":[96],"Framework":[97],"(LIOF),":[98],"general":[100],"easily":[102],"integrated":[103],"solution":[104],"aimed":[105],"at":[106],"expediting":[107],"improving":[112],"one-dimensional":[119],"multi-dimensional":[121],"indexes.":[123,270],"The":[124],"optimization":[125,174],"LIOF":[127,159,183,239,256],"intuitive,":[133],"directly":[134],"providing":[135],"optimized":[136,186,218],"parameters":[137,188],"based":[141],"distribution":[144,154,208],"node":[146,156,168,191,219],"data.":[147],"By":[148],"leveraging":[149],"correlation":[151],"between":[152],"key":[153,207,228],"parameters,":[158],"significantly":[160],"reduces":[161],"epochs":[164],"required":[165],"each":[167],"model.":[169],"Initially,":[170],"an":[173],"strategy":[175],"inspired":[176],"optimization-based":[178],"meta-learning":[179],"train":[181],"generate":[185],"initial":[187],"Subsequently,":[193],"present":[195],"data-driven":[197],"encoder":[198],"parameter-centric":[201],"decoder":[202],"network,":[203],"which":[204],"adaptively":[205],"translate":[206],"into":[209,217],"latent":[211],"variable":[212],"representation":[213],"decode":[215],"it":[216],"initialization.":[221],"Additionally,":[222],"further":[224],"characteristics":[226],"distribution,":[229],"propose":[231],"monotonic":[233],"regularizer":[234],"focal":[236],"loss,":[237],"guiding":[238],"towards":[241],"efficiency":[242,263],"precision.":[244],"Through":[245],"extensive":[246],"experimentation":[247],"real-world":[249],"synthetic":[251],"datasets,":[252],"demonstrate":[254],"that":[255],"provides":[257],"substantial":[258],"enhancements":[259],"both":[261],"predictive":[266]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}