{"id":"https://openalex.org/W4381710487","doi":"https://doi.org/10.14778/3603581.3603598","title":"LMSFC: A Novel Multidimensional Index Based on Learned Monotonic Space Filling Curves","display_name":"LMSFC: A Novel Multidimensional Index Based on Learned Monotonic Space Filling Curves","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4381710487","doi":"https://doi.org/10.14778/3603581.3603598"},"language":"en","primary_location":{"id":"doi:10.14778/3603581.3603598","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3603581.3603598","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5101813814","display_name":"Jian Gao","orcid":"https://orcid.org/0009-0004-3302-9018"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jian Gao","raw_affiliation_strings":["UNSW, Australia"],"affiliations":[{"raw_affiliation_string":"UNSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089964993","display_name":"Xin Cao","orcid":"https://orcid.org/0000-0002-3519-7013"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Cao","raw_affiliation_strings":["UNSW, Australia"],"affiliations":[{"raw_affiliation_string":"UNSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071840581","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0002-5780-7900"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["Huawei Theory Lab, China"],"affiliations":[{"raw_affiliation_string":"Huawei Theory Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368312","display_name":"Gong Zhang","orcid":"https://orcid.org/0000-0003-0283-7050"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Zhang","raw_affiliation_strings":["Huawei Theory Lab, China"],"affiliations":[{"raw_affiliation_string":"Huawei Theory Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107839436","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0003-1462-1919"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Laboratory of Materials Informatics, HKUST (Guangzhou), China and HKUST, HKSAR, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Materials Informatics, HKUST (Guangzhou), China and HKUST, HKSAR, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101813814"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":3.8017,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94487799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"10","first_page":"2605","last_page":"2617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.984499990940094,"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":0.7596466541290283},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6940566897392273},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6210050582885742},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5458410978317261},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5288596749305725},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4978954792022705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3015629053115845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.154054194688797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596466541290283},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6940566897392273},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6210050582885742},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5458410978317261},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5288596749305725},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4978954792022705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3015629053115845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.154054194688797},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3603581.3603598","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3603581.3603598","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-133508","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-133508","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1979605853","https://openalex.org/W2118269922","https://openalex.org/W2149173084","https://openalex.org/W2151135734","https://openalex.org/W2165558283","https://openalex.org/W2792795274","https://openalex.org/W2945486614","https://openalex.org/W2948233700","https://openalex.org/W2962771342","https://openalex.org/W2967734741","https://openalex.org/W3013691234","https://openalex.org/W3020084632","https://openalex.org/W3029532343","https://openalex.org/W3029564598","https://openalex.org/W3033065823","https://openalex.org/W3037388395","https://openalex.org/W3081786030","https://openalex.org/W3096737792","https://openalex.org/W3098304379","https://openalex.org/W3103567827","https://openalex.org/W3106489949","https://openalex.org/W3164254023","https://openalex.org/W3194145758","https://openalex.org/W3210084676","https://openalex.org/W4224311404","https://openalex.org/W6782983344","https://openalex.org/W6794676586","https://openalex.org/W6797403803","https://openalex.org/W6922211634"],"related_works":["https://openalex.org/W4380682190","https://openalex.org/W3024364549","https://openalex.org/W4315701745","https://openalex.org/W1990290471","https://openalex.org/W2102386043","https://openalex.org/W2945307361","https://openalex.org/W4206019083","https://openalex.org/W1976265003","https://openalex.org/W2054476758","https://openalex.org/W2370378377"],"abstract_inverted_index":{"The":[0],"recently":[1],"proposed":[2,163],"learned":[3,74,102,150,170],"indexes":[4,34,104,151],"have":[5],"attracted":[6],"much":[7],"attention":[8],"as":[9,90],"they":[10],"can":[11],"adapt":[12,106],"to":[13,20,50,56,105,148],"the":[14,73,80,99],"actual":[15],"data":[16,37,54,108],"and":[17,38,69,93,131,143,152,178],"query":[18,41,112,136],"distributions":[19,109],"attain":[21],"better":[22],"search":[23],"efficiency.":[24],"Based":[25],"on":[26],"this":[27,115],"technique,":[28],"several":[29],"existing":[30],"works":[31,48],"build":[32],"up":[33],"for":[35,134],"multi-dimensional":[36,53,103],"achieve":[39],"improved":[40],"performance.":[42],"A":[43],"common":[44,147],"paradigm":[45],"of":[46,101,122],"these":[47],"is":[49,128],"(i)":[51],"map":[52],"points":[55],"a":[57,61,85,119,124],"one-dimensional":[58],"space":[59],"using":[60],"fixed":[62,86],"space-filling":[63,125],"curve":[64,126],"(SFC)":[65],"or":[66,169],"its":[67],"variant":[68],"(ii)":[70],"then":[71],"apply":[72],"indexing":[75],"techniques.":[76],"We":[77,138],"notice":[78],"that":[79,127,161],"first":[81],"step":[82],"typically":[83],"uses":[84],"SFC":[87],"method,":[88,164],"such":[89],"row-major":[91],"order":[92],"z":[94],"-order.":[95],"It":[96],"definitely":[97],"limits":[98],"potential":[100],"variable":[107],"via":[110],"different":[111],"workloads.":[113],"In":[114],"paper,":[116],"we":[117],"propose":[118],"novel":[120],"idea":[121],"learning":[123],"carefully":[129],"designed":[130],"actively":[132],"optimized":[133],"efficient":[135],"processing.":[137],"also":[139],"identify":[140],"innovative":[141],"offline":[142],"online":[144],"optimization":[145],"opportunities":[146],"SFC-based":[149],"offer":[153],"optimal":[154],"and/or":[155],"heuristic":[156],"solutions.":[157],"Experimental":[158],"results":[159],"demonstrate":[160],"our":[162],"LMSFC,":[165],"outperforms":[166],"state-of-the-art":[167],"non-learned":[168],"methods":[171],"across":[172],"three":[173],"commonly":[174],"used":[175],"real-world":[176],"datasets":[177],"diverse":[179],"experimental":[180],"settings.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}