{"id":"https://openalex.org/W4410544010","doi":"https://doi.org/10.14778/3717755.3717770","title":"UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search","display_name":"UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4410544010","doi":"https://doi.org/10.14778/3717755.3717770"},"language":"en","primary_location":{"id":"doi:10.14778/3717755.3717770","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3717755.3717770","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/A5066304438","display_name":"Anqi Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Liang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365994","display_name":"Pengcheng Zhang","orcid":"https://orcid.org/0000-0003-4106-6762"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Zhang","raw_affiliation_strings":["Tencent Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757927","display_name":"Bin Yao","orcid":"https://orcid.org/0000-0002-6478-4209"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yao","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082618548","display_name":"Zhongpu Chen","orcid":"https://orcid.org/0000-0002-2123-3490"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongpu Chen","raw_affiliation_strings":["Southwestern University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102975654","display_name":"Yitong Song","orcid":"https://orcid.org/0000-0002-4220-0145"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitong Song","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guangxu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxu Cheng","raw_affiliation_strings":["Tencent Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70182983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"18","issue":"4","first_page":"1118","last_page":"1130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T11106","display_name":"Data Management and Algorithms","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6900144815444946},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6406950950622559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4469538927078247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40471261739730835},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10534131526947021},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08779650926589966}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6900144815444946},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6406950950622559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4469538927078247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40471261739730835},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10534131526947021},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08779650926589966},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3717755.3717770","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3717755.3717770","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W4258001","https://openalex.org/W1550211845","https://openalex.org/W1981561414","https://openalex.org/W2070991879","https://openalex.org/W2086504823","https://openalex.org/W2118269922","https://openalex.org/W2124509324","https://openalex.org/W2147717514","https://openalex.org/W2160181895","https://openalex.org/W2165558283","https://openalex.org/W2204555070","https://openalex.org/W2294518132","https://openalex.org/W2616739377","https://openalex.org/W2767718834","https://openalex.org/W2797054769","https://openalex.org/W2901613577","https://openalex.org/W2949985202","https://openalex.org/W2963265099","https://openalex.org/W2963284996","https://openalex.org/W2963469388","https://openalex.org/W2998032620","https://openalex.org/W2998702515","https://openalex.org/W3027879771","https://openalex.org/W3084228038","https://openalex.org/W3085011441","https://openalex.org/W3085456122","https://openalex.org/W3105233790","https://openalex.org/W3136183693","https://openalex.org/W3174809957","https://openalex.org/W3196481040","https://openalex.org/W4242142158","https://openalex.org/W4283796272","https://openalex.org/W4286235948","https://openalex.org/W4289533999","https://openalex.org/W4295885110","https://openalex.org/W4367046898","https://openalex.org/W4385653226","https://openalex.org/W4400909674"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4,171],"and":[5,28,62,95,114,176,217,226,246],"scalable":[6],"framework":[7],"for":[8,92,219],"Range":[9],"Filtered":[10],"Approximate":[11],"Nearest":[12],"Neighbors":[13],"Search":[14],"(RF-ANNS)":[15],"over":[16],"high-dimensional":[17],"vectors":[18],"associated":[19],"with":[20],"attribute":[21,49,68,152],"values.":[22,153],"Given":[23],"a":[24,29,122,139,165,178,195,201],"query":[25,85,103,248],"vector":[26],"q":[27,45],"range":[30,69,104],"[":[31,53],"l,":[32,54],"h":[33,55],"],":[34],"RF-ANNS":[35,241],"aims":[36],"to":[37,111,207],"find":[38],"the":[39,75,97,102,149,156,231],"approximate":[40],"k":[41],"nearest":[42],"neighbors":[43],"of":[44,158,167,197],"among":[46],"data":[47],"whose":[48],"values":[50],"fall":[51],"within":[52],"].":[56],"Existing":[57],"methods":[58],"including":[59],"pre-,":[60],"post-,":[61],"hybrid":[63,172,210],"filtering":[64,70,173,211],"strategies":[65],"that":[66,128,237],"perform":[67],"before,":[71],"after,":[72],"or":[73],"during":[74],"ANNS":[76],"process,":[77],"all":[78,131],"suffer":[79],"from":[80,160,180],"significant":[81],"performance":[82,242],"degradation":[83],"when":[84],"ranges":[86],"shift.":[87],"Though":[88],"building":[89],"dedicated":[90],"indexes":[91],"each":[93],"strategy":[94],"selecting":[96],"best":[98],"one":[99],"based":[100],"on":[101],"can":[105],"address":[106],"this":[107],"problem,":[108],"it":[109],"leads":[110],"index":[112,127],"consistency":[113],"maintenance":[115],"issues.":[116],"Our":[117],"framework,":[118],"called":[119],"UNIFY,":[120,135],"constructs":[121],"unified":[123],"Proximity":[124],"Graph-based":[125],"(PG-based)":[126],"seamlessly":[129],"supports":[130],"three":[132],"strategies.":[133],"In":[134],"we":[136,184],"introduce":[137],"SIG,":[138,168],"novel":[140],"S":[141,188],"egmented":[142,189],"I":[143,190],"nclusive":[144,191],"G":[145,192],"raph,":[146],"which":[147,199],"segments":[148],"dataset":[150],"by":[151,174,205,221],"It":[154],"ensures":[155],"PG":[157,179],"objects":[159],"any":[161],"segment":[162],"combinations":[163],"is":[164],"sub-graph":[166],"thereby":[169],"enabling":[170],"reconstructing":[175],"searching":[177],"relevant":[181],"segments.":[182],"Moreover,":[183],"present":[185],"H":[186],"ierarchical":[187],"raph":[193],"(HSIG),":[194],"variant":[196],"SIG":[198],"incorporates":[200],"hierarchical":[202,232],"structure":[203],"inspired":[204],"HNSW":[206,228],"achieve":[208],"logarithmic":[209],"complexity.":[212],"We":[213],"also":[214],"implement":[215],"pre-":[216],"post-filtering":[218],"HSIG":[220],"fusing":[222],"skip":[223],"list":[224],"connections":[225],"compressed":[227],"edges":[229],"into":[230],"graph.":[233],"Experimental":[234],"results":[235],"show":[236],"UNIFY":[238],"delivers":[239],"state-of-the-art":[240],"across":[243],"small,":[244],"mid,":[245],"large":[247],"ranges.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
