{"id":"https://openalex.org/W3198459119","doi":"https://doi.org/10.1109/tkde.2021.3109433","title":"LASH: Large-scale Academic Deep Semantic Hashing","display_name":"LASH: Large-scale Academic Deep Semantic Hashing","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3198459119","doi":"https://doi.org/10.1109/tkde.2021.3109433","mag":"3198459119"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3109433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3109433","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5072266886","display_name":"Jia-Nan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Nan Guo","raw_affiliation_strings":["School of Computer, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: guojn@bit.edu.cn)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: guojn@bit.edu.cn)","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626590","display_name":"Xian-Ling Mao","orcid":"https://orcid.org/0000-0001-6795-2311"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Ling Mao","raw_affiliation_strings":["School of Computer, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: maoxl@bit.edu.cn)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: maoxl@bit.edu.cn)","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018464968","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0003-3010-8090"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Lan","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: lantiangmftby@gmail.com)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: lantiangmftby@gmail.com)","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035138193","display_name":"Rongxin Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tu Rong-Xin","raw_affiliation_strings":["Department of Computer Science and Technology, Jiangxi University of Finance and Economics, 12460 Nanchang, Jiangxi, China, (e-mail: rongxin_tu@163.com)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Jiangxi University of Finance and Economics, 12460 Nanchang, Jiangxi, China, (e-mail: rongxin_tu@163.com)","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323773","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-8751-9205"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, 12443 Wuhan, Hubei, China, (e-mail: weiw@hust.edu.cn)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, 12443 Wuhan, Hubei, China, (e-mail: weiw@hust.edu.cn)","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069655973","display_name":"Heyan Huang","orcid":"https://orcid.org/0000-0002-3427-868X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyan Huang","raw_affiliation_strings":["School of Computer, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: hhy63@bit.edu.cn)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Beijing Institute of Technology, 47833 Beijing, Beijing, China, (e-mail: hhy63@bit.edu.cn)","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.848,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75334141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9944000244140625,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9824000000953674,"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":0.8299253582954407},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.694538414478302},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6184557676315308},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6165952086448669},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5961936712265015},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5320530533790588},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46286994218826294},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4503714442253113},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.443525105714798},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42042276263237},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4031147360801697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40166375041007996},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.17348888516426086}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299253582954407},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.694538414478302},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6184557676315308},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6165952086448669},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5961936712265015},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5320530533790588},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46286994218826294},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4503714442253113},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.443525105714798},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42042276263237},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4031147360801697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40166375041007996},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.17348888516426086},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3109433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3109433","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1250004542","display_name":null,"funder_award_id":"61602197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4918981142","display_name":null,"funder_award_id":"61751201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5686832795","display_name":null,"funder_award_id":"TYZ19005","funder_id":"https://openalex.org/F4320335850","funder_display_name":"Beijing Advanced Innovation Center for Language Resources"},{"id":"https://openalex.org/G7118507406","display_name":"\u878d\u5165\u6982\u5ff5\u7684\u9ad8\u6548\u4e3b\u9898\u5206\u6790\u6846\u67b6\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772076","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"},{"id":"https://openalex.org/F4320335850","display_name":"Beijing Advanced Innovation Center for Language Resources","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1760082936","https://openalex.org/W1835419070","https://openalex.org/W1932742904","https://openalex.org/W1970160003","https://openalex.org/W1974647172","https://openalex.org/W1990866149","https://openalex.org/W2022322548","https://openalex.org/W2071106922","https://openalex.org/W2095705004","https://openalex.org/W2122196799","https://openalex.org/W2130831177","https://openalex.org/W2144892774","https://openalex.org/W2154851992","https://openalex.org/W2162006472","https://openalex.org/W2292992741","https://openalex.org/W2396066869","https://openalex.org/W2411707397","https://openalex.org/W2581561642","https://openalex.org/W2604165577","https://openalex.org/W2740797857","https://openalex.org/W2774861092","https://openalex.org/W2798666412","https://openalex.org/W2798762763","https://openalex.org/W2896035551","https://openalex.org/W2913932916","https://openalex.org/W2950723285","https://openalex.org/W2962904108","https://openalex.org/W2962975498","https://openalex.org/W2967802828","https://openalex.org/W2974212192","https://openalex.org/W2985730480","https://openalex.org/W2993670251","https://openalex.org/W3004967630","https://openalex.org/W3012774908","https://openalex.org/W3035640753","https://openalex.org/W3046588732","https://openalex.org/W3095836943","https://openalex.org/W3102844761","https://openalex.org/W3104097132","https://openalex.org/W3157181916","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6636510571","https://openalex.org/W6674330103","https://openalex.org/W6697214482","https://openalex.org/W6732287183","https://openalex.org/W6732461846","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6766829047"],"related_works":["https://openalex.org/W1498072137","https://openalex.org/W2702570413","https://openalex.org/W2110166424","https://openalex.org/W2151596444","https://openalex.org/W2885569103","https://openalex.org/W2057608068","https://openalex.org/W4313588230","https://openalex.org/W3021751881","https://openalex.org/W2808282156","https://openalex.org/W3034205626"],"abstract_inverted_index":{"With":[0],"the":[1,23,57,72,83,129,151,169,171,179],"explosively":[2],"increasing":[3],"of":[4,25,74,128,135,153,162,181],"academic":[5,8,41,46,54,136,198],"papers,":[6],"efficient":[7,49],"document":[9,31,42,55],"retrieval":[10,19,43],"is":[11,36,147,158],"becoming":[12],"an":[13],"essential":[14],"requirement":[15],"for":[16,40,53],"large-scale":[17,197],"information":[18,85,127,134],"systems.":[20],"Inspired":[21],"by":[22,44,168],"success":[24],"deep":[26,33,59,99,120],"semantic":[27,34,60,133],"hashing":[28,35,61],"in":[29,86],"normal":[30],"retrieval,":[32,56],"a":[37,95,111,117,143,159],"promising":[38],"approach":[39],"mapping":[45],"documents":[47,137],"into":[48,138],"hash":[50,140,174],"codes.":[51,141],"However,":[52],"existing":[58],"methods":[62],"suffer":[63],"from":[64],"following":[65],"two":[66],"problems:":[67],"(1)":[68],"they":[69,79],"cannot":[70,80],"differentiate":[71],"importance":[73,152,180],"different":[75,154,182],"field":[76,155,183],"labels;":[77],"(2)":[78],"plenty":[81],"utilize":[82],"structure":[84,126],"paper":[87,108],"citations.":[88],"To":[89],"address":[90],"these":[91],"problems,":[92],"we":[93],"propose":[94],"novel":[96],"Large-scale":[97],"Academic":[98],"Semantic":[100],"Hashing,":[101],"called":[102],"LASH.":[103],"Specifically,":[104],"LASH":[105,188],"first":[106],"treats":[107],"citations":[109],"as":[110],"citation":[112,130],"network,":[113],"and":[114,132,164],"then":[115],"employs":[116],"multi-input":[118],"variational":[119],"autoencoder":[121],"to":[122,149],"directly":[123],"encode":[124],"both":[125],"network":[131],"unified":[139,173],"Moreover,":[142],"weighted":[144],"percentage":[145],"similarity":[146],"designed":[148],"measure":[150],"labels,":[156],"which":[157],"linear":[160],"combination":[161],"Jaccard":[163],"Cosine":[165],"similarity.":[166],"Supervised":[167],"similarity,":[170],"learned":[172],"codes":[175],"can":[176],"further":[177],"preserve":[178],"labels.":[184],"Extensive":[185],"experiments":[186],"show":[187],"significantly":[189],"outperforms":[190],"state-of-the-art":[191],"baselines":[192],"over":[193],"proposed":[194],"three":[195],"real-world":[196],"datasets.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}