{"id":"https://openalex.org/W2798529224","doi":"https://doi.org/10.1145/3183713.3183750","title":"A General and Efficient Querying Method for Learning to Hash","display_name":"A General and Efficient Querying Method for Learning to Hash","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798529224","doi":"https://doi.org/10.1145/3183713.3183750","mag":"2798529224"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3183750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183713.3183750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","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/A5103325722","display_name":"Jinfeng Li","orcid":"https://orcid.org/0000-0002-6400-740X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinfeng Li","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367774","display_name":"Xiao Yan","orcid":"https://orcid.org/0000-0002-2122-915X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yan","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091790870","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0003-3612-7989"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103414","display_name":"An Xu","orcid":"https://orcid.org/0000-0001-7480-5010"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Xu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016082884","display_name":"James Cheng","orcid":"https://orcid.org/0000-0001-6313-6288"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"James Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454195","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0003-1983-5086"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017580443","display_name":"Kelvin K. W. Ng","orcid":"https://orcid.org/0009-0001-9191-2085"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kelvin K. W. Ng","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081855087","display_name":"Ti-chung Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ti-chung Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103325722"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.1851,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82397244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1333","last_page":"1347"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9912999868392944,"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/hash-function","display_name":"Hash function","score":0.7892955541610718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689557075500488},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6126636266708374},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.4983222484588623},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.46511179208755493},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4608919024467468},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4467124938964844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4120485782623291},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.41152146458625793},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3524796962738037},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3419605493545532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30681538581848145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28949862718582153}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7892955541610718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689557075500488},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6126636266708374},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.4983222484588623},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.46511179208755493},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4608919024467468},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4467124938964844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4120485782623291},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.41152146458625793},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3524796962738037},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3419605493545532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30681538581848145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28949862718582153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3183750","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183713.3183750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W138284169","https://openalex.org/W185144071","https://openalex.org/W1480566255","https://openalex.org/W1579534339","https://openalex.org/W1602049633","https://openalex.org/W1627400044","https://openalex.org/W1870428314","https://openalex.org/W1922778857","https://openalex.org/W1974647172","https://openalex.org/W1975478325","https://openalex.org/W2029205712","https://openalex.org/W2039742379","https://openalex.org/W2041878876","https://openalex.org/W2044195942","https://openalex.org/W2059139185","https://openalex.org/W2071572981","https://openalex.org/W2084363474","https://openalex.org/W2086504823","https://openalex.org/W2111006384","https://openalex.org/W2118269922","https://openalex.org/W2122196799","https://openalex.org/W2123427850","https://openalex.org/W2142881874","https://openalex.org/W2144265691","https://openalex.org/W2147717514","https://openalex.org/W2155502235","https://openalex.org/W2157465536","https://openalex.org/W2162362997","https://openalex.org/W2165558283","https://openalex.org/W2170037597","https://openalex.org/W2171790913","https://openalex.org/W2232745072","https://openalex.org/W2293597654","https://openalex.org/W2294518132","https://openalex.org/W2441967103","https://openalex.org/W2510911086","https://openalex.org/W2562786159","https://openalex.org/W2585216812","https://openalex.org/W2604298190","https://openalex.org/W2605357614","https://openalex.org/W2612256778","https://openalex.org/W2618114732","https://openalex.org/W2739892149","https://openalex.org/W2762028850","https://openalex.org/W2792078035","https://openalex.org/W2951762360","https://openalex.org/W2953019775","https://openalex.org/W2963265099","https://openalex.org/W2963398644","https://openalex.org/W4245345046","https://openalex.org/W4245826835","https://openalex.org/W6600234944"],"related_works":["https://openalex.org/W2943247777","https://openalex.org/W2740543340","https://openalex.org/W2371167013","https://openalex.org/W1582340598","https://openalex.org/W1541021634","https://openalex.org/W2779867339","https://openalex.org/W2794545997","https://openalex.org/W2584980534","https://openalex.org/W2182731056","https://openalex.org/W66917582"],"abstract_inverted_index":{"As":[0],"an":[1],"effective":[2],"solution":[3],"to":[4,13,18,150],"the":[5,50,63,75,95,101],"approximate":[6],"nearest":[7],"neighbors":[8],"(ANN)":[9],"search":[10],"problem,":[11],"learning":[12,39,154],"hash":[14,21,41],"(L2H)":[15],"is":[16,47,69],"able":[17],"learn":[19],"similarity-preserving":[20],"functions":[22],"tailored":[23],"for":[24],"a":[25,82,98,104,139],"given":[26],"dataset.":[27],"However,":[28],"existing":[29],"L2H":[30,133],"research":[31],"mainly":[32],"focuses":[33],"on":[34,114],"improving":[35],"query":[36,78,99,120],"performance":[37,76,121,147],"by":[38,56],"good":[40],"functions,":[42],"while":[43],"Hamming":[44,61],"ranking":[45],"(HR)":[46],"used":[48,66],"as":[49],"default":[51],"querying":[52,111,143],"method.":[53],"We":[54,80,106],"show":[55],"analysis":[57],"and":[58,72,100,128,141,152],"experiments":[59,136],"that":[60,138],"distance,":[62],"similarity":[64,85,96],"indicator":[65],"in":[67,103],"HR,":[68],"too":[70],"coarse-grained":[71],"thus":[73],"limits":[74],"of":[77],"processing.":[79],"propose":[81],"new":[83],"fine-grained":[84],"indicator,":[86],"quantization":[87],"distance":[88],"(QD),":[89],"which":[90,116],"provides":[91],"more":[92],"information":[93],"about":[94],"between":[97],"items":[102],"bucket.":[105],"then":[107],"develop":[108],"two":[109],"efficient":[110],"methods":[112,125],"based":[113],"QD,":[115],"achieve":[117],"significantly":[118],"better":[119],"than":[122],"HR.":[123],"Our":[124,135],"are":[126],"general":[127],"can":[129,145],"work":[130],"with":[131],"various":[132],"algorithms.":[134,155],"demonstrate":[137],"simple":[140],"elegant":[142],"method":[144],"produce":[146],"gain":[148],"equivalent":[149],"advanced":[151],"complicated":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
