{"id":"https://openalex.org/W4384656671","doi":"https://doi.org/10.1145/3539618.3591799","title":"LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval","display_name":"LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384656671","doi":"https://doi.org/10.1145/3539618.3591799"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591799","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-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/A5103246911","display_name":"Chaofan Li","orcid":"https://orcid.org/0009-0005-6189-9456"},"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":true,"raw_author_name":"Chaofan Li","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423656","display_name":"Zheng Liu","orcid":"https://orcid.org/0000-0001-7765-8466"},"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":"Zheng Liu","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044147794","display_name":"Shitao Xiao","orcid":"https://orcid.org/0000-0003-2567-6843"},"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":"Shitao Xiao","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014615052","display_name":"Yingxia Shao","orcid":"https://orcid.org/0000-0002-8559-2628"},"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":"Yingxia Shao","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"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":"Defu Lian","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000839824","display_name":"Zhao Cao","orcid":"https://orcid.org/0000-0002-4214-7858"},"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":"Zhao Cao","raw_affiliation_strings":["Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103246911"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.3582,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58835352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3095","last_page":"3099"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983000159263611,"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":0.8229998350143433},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7706968784332275},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.614970862865448},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5330454707145691},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5089256763458252},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5049951672554016},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5006766319274902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4208122491836548},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.40401938557624817},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36906787753105164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2912828028202057},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10962799191474915},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09943976998329163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229998350143433},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7706968784332275},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.614970862865448},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5330454707145691},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5089256763458252},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5049951672554016},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5006766319274902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4208122491836548},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.40401938557624817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36906787753105164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2912828028202057},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10962799191474915},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09943976998329163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3591799","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1108969597","display_name":null,"funder_award_id":"62192784","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G389836820","display_name":null,"funder_award_id":"62272054, 62192784","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G421627741","display_name":null,"funder_award_id":"62272054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","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":10,"referenced_works":["https://openalex.org/W2077815765","https://openalex.org/W2124509324","https://openalex.org/W2132234208","https://openalex.org/W2963469388","https://openalex.org/W2998702515","https://openalex.org/W3099700870","https://openalex.org/W3209791570","https://openalex.org/W3212208733","https://openalex.org/W4284685333","https://openalex.org/W6600281463"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W2612151195","https://openalex.org/W3209251257","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"Vector":[0],"quantization":[1,22,78],"is":[2,85,135,187],"one":[3],"of":[4,69,103,154],"the":[5,56,100,117,138,155],"critical":[6],"techniques":[7],"which":[8,54,75],"enables":[9],"dense":[10,81,164],"retrieval":[11,36,93],"for":[12,79,87,183],"realtime":[13],"applications.":[14,130],"The":[15,92,107,133,185],"recent":[16],"study":[17],"shows":[18],"that":[19],"vanilla":[20,101],"vector":[21,77],"methods,":[23],"like":[24],"those":[25],"implemented":[26],"by":[27],"FAISS":[28],"[8],":[29],"are":[30,42],"lossy":[31],"and":[32,58,116,142,148,171,181],"prone":[33],"to":[34,62,124,127,137],"limited":[35],"performances":[37],"when":[38],"large":[39],"acceleration":[40],"ratios":[41],"needed":[43],"[14,":[44],"16,":[45],"18].":[46],"Besides,":[47],"there":[48],"have":[49],"also":[50,159],"been":[51],"multiple":[52],"algorithms":[53],"make":[55],"retriever":[57],"VQ":[59],"better":[60],"collaborated":[61],"alleviate":[63],"such":[64],"a":[65,113],"loss.":[66],"On":[67],"top":[68],"these":[70],"progresses,":[71],"we":[72,176],"develop":[73],"LibVQ,":[74],"optimizes":[76],"efficient":[80],"retrieval.":[82],"Our":[83],"toolkit":[84,186],"highlighted":[86],"three":[88],"advantages.":[89],"1.":[90],"Effectiveness.":[91],"quality":[94],"can":[95,109,120],"be":[96,110,121],"substantially":[97],"improved":[98],"over":[99],"implementations":[102],"VQ.":[104],"2.":[105],"Simplicity.":[106],"optimization":[108,118,134],"conducted":[111],"in":[112],"lowcode":[114],"fashion,":[115],"results":[119],"easily":[122],"loaded":[123],"ANN":[125,149],"indexes":[126],"support":[128,160],"downstream":[129],"3.":[131],"Universality.":[132],"agnostic":[136],"embedding's":[139],"learning":[140],"process,":[141],"may":[143,158],"accommodate":[144],"different":[145],"input":[146],"conditions":[147],"back-ends":[150],"with":[151],"little":[152],"modification":[153],"workflow.":[156],"LibVQ":[157],"rich":[161],"applications":[162],"beyond":[163],"retrieval,":[165],"e.g.,":[166],"embedding":[167],"compression,":[168],"topic":[169],"modeling,":[170],"de-duplication.":[172],"In":[173],"this":[174],"demo,":[175],"provide":[177],"comprehensive":[178],"hand-on":[179],"examples":[180],"evaluations":[182],"LibVQ.":[184],"publicly":[188],"released":[189],"at:":[190],"https://github.com/staoxiao/LibVQ/tree/demo.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}