{"id":"https://openalex.org/W4283326127","doi":"https://doi.org/10.14778/3529337.3529349","title":"QueryFormer","display_name":"QueryFormer","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4283326127","doi":"https://doi.org/10.14778/3529337.3529349"},"language":"en","primary_location":{"id":"doi:10.14778/3529337.3529349","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3529337.3529349","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/A5101769297","display_name":"Yue Zhao","orcid":"https://orcid.org/0009-0000-7161-1421"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060030560","display_name":"Jiachen Shi","orcid":"https://orcid.org/0009-0000-0295-0200"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiachen Shi","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101769297"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":11.909,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.99372542,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"8","first_page":"1658","last_page":"1670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"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":0.9984999895095825,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9983999729156494,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9983999729156494,"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":0.8663719892501831},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7640194296836853},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.5463287830352783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5237308144569397},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.49422886967658997},{"id":"https://openalex.org/keywords/query-plan","display_name":"Query plan","score":0.4884995222091675},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.47029492259025574},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4648975431919098},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4413696527481079},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4349000155925751},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3918956220149994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3795284032821655},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.34215861558914185},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.2546781897544861},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.15161016583442688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8663719892501831},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7640194296836853},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.5463287830352783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5237308144569397},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.49422886967658997},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.4884995222091675},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.47029492259025574},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4648975431919098},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4413696527481079},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4349000155925751},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3918956220149994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3795284032821655},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.34215861558914185},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.2546781897544861},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.15161016583442688},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3529337.3529349","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3529337.3529349","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":19,"referenced_works":["https://openalex.org/W1964691382","https://openalex.org/W2029798546","https://openalex.org/W2107628111","https://openalex.org/W2112056262","https://openalex.org/W2132823934","https://openalex.org/W2396309311","https://openalex.org/W2593581739","https://openalex.org/W2790625403","https://openalex.org/W2808009442","https://openalex.org/W2906910993","https://openalex.org/W2911464154","https://openalex.org/W2970148517","https://openalex.org/W3032560301","https://openalex.org/W3099158806","https://openalex.org/W3099273181","https://openalex.org/W3100077023","https://openalex.org/W3105457604","https://openalex.org/W3129744650","https://openalex.org/W4293651439"],"related_works":["https://openalex.org/W906795786","https://openalex.org/W2186703450","https://openalex.org/W3125756434","https://openalex.org/W2970853428","https://openalex.org/W4381740310","https://openalex.org/W185198413","https://openalex.org/W2406556739","https://openalex.org/W1971797742","https://openalex.org/W4281289408","https://openalex.org/W2413368787"],"abstract_inverted_index":{"Machine":[0],"learning":[1,152],"has":[2],"become":[3],"a":[4,76,92,99,107,134,139,156],"prominent":[5],"method":[6],"in":[7,55,68,75],"many":[8],"database":[9,53,115,157],"optimization":[10,158],"problems":[11],"such":[12],"as":[13],"cost":[14],"estimation,":[15],"index":[16],"selection":[17],"and":[18,79,160],"query":[19,22,33,77,94,118,135],"optimization.":[20],"Translating":[21],"execution":[23],"plans":[24],"into":[25,117,149],"their":[26],"vectorized":[27],"representations":[28],"is":[29,166],"non-trivial.":[30],"Recently,":[31],"several":[32],"plan":[34,95,119],"representation":[35,96],"methods":[36],"have":[37,42,66],"been":[38],"proposed.":[39],"However,":[40],"they":[41,46,64],"two":[43],"limitations.":[44],"First,":[45],"do":[47],"not":[48],"fully":[49],"utilize":[50],"readily":[51],"available":[52],"statistics":[54],"the":[56,60,126,130,143],"representation,":[57],"which":[58],"characterizes":[59],"data":[61],"distribution.":[62],"Second,":[63],"typically":[65],"difficulty":[67],"modeling":[69],"long":[70],"paths":[71],"of":[72,133,171],"information":[73,127],"flow":[74,128],"plan,":[78,136],"capturing":[80],"parent-children":[81],"dependency":[82],"between":[83],"operators.":[84],"To":[85],"tackle":[86],"these":[87,172],"limitations,":[88],"we":[89,105,137],"propose":[90,106],"QueryFormer,":[91],"learning-based":[93],"model":[97,141],"with":[98,142],"tree-structured":[100,140],"Transformer":[101],"architecture.":[102],"In":[103,121],"particular,":[104],"novel":[108],"scheme":[109],"to":[110,123,168],"integrate":[111,147],"histograms":[112],"obtained":[113],"from":[114],"systems":[116],"encoding.":[120],"addition,":[122],"effectively":[124],"capture":[125],"following":[129],"tree":[131],"structure":[132],"develop":[138],"attention":[144],"mechanism.":[145],"We":[146],"QueryFormer":[148,165],"four":[150],"machine":[151],"models,":[153],"each":[154],"for":[155],"task,":[159],"experimental":[161],"results":[162],"show":[163],"that":[164],"able":[167],"improve":[169],"performance":[170],"models":[173],"significantly.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":10}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-06-24T00:00:00"}
