{"id":"https://openalex.org/W4284682915","doi":"https://doi.org/10.1145/3477495.3531761","title":"L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks","display_name":"L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284682915","doi":"https://doi.org/10.1145/3477495.3531761"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531761","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th 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/A5017670541","display_name":"Fangxin Liu","orcid":"https://orcid.org/0000-0002-8769-293X"},"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":true,"raw_author_name":"Fangxin Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai , China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai , China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399528","display_name":"Haoming Li","orcid":"https://orcid.org/0000-0002-2939-6534"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomin Li","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"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":"Xiaokang Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053801300","display_name":"Li Jiang","orcid":"https://orcid.org/0000-0002-7353-8798"},"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":"Li Jiang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017670541"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.8668,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95513345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1844","last_page":"1848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7546169757843018},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6256784796714783},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6148073673248291},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5677779316902161},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.523910641670227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5066927075386047},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48677870631217957},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4740683436393738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3803057372570038},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3322734236717224},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20714518427848816},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10890141129493713},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09855398535728455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546169757843018},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6256784796714783},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6148073673248291},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5677779316902161},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.523910641670227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5066927075386047},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48677870631217957},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4740683436393738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3803057372570038},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3322734236717224},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20714518427848816},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10890141129493713},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09855398535728455},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3531761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531761","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th 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/G1303213773","display_name":null,"funder_award_id":"2018YFB1403400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5712927979","display_name":null,"funder_award_id":"61834006 and U19B2035","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1986427413","https://openalex.org/W2081497813","https://openalex.org/W2099924982","https://openalex.org/W2155714768","https://openalex.org/W2295416969","https://openalex.org/W2796260258","https://openalex.org/W2797652130","https://openalex.org/W2895910969","https://openalex.org/W2915418849","https://openalex.org/W2946584982","https://openalex.org/W2970691381","https://openalex.org/W2993412634","https://openalex.org/W3027128361","https://openalex.org/W3032819016","https://openalex.org/W3103415979","https://openalex.org/W3105237797","https://openalex.org/W3130554079","https://openalex.org/W3158860039","https://openalex.org/W3175575864","https://openalex.org/W3189995700","https://openalex.org/W3195842288","https://openalex.org/W3204021316","https://openalex.org/W3212827699"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W2752178021"],"abstract_inverted_index":{"Brain-inspired":[0],"hyperdimensional":[1],"computing":[2,10],"(HDC)":[3],"has":[4,37],"been":[5],"introduced":[6],"as":[7,48],"an":[8],"alternative":[9],"paradigm":[11],"to":[12,27],"achieve":[13],"efficient":[14],"and":[15,53,89,103],"robust":[16],"learning.":[17],"HDC":[18,73,93],"simulates":[19],"cognitive":[20],"tasks":[21],"by":[22],"mapping":[23],"all":[24],"data":[25],"points":[26],"patterns":[28],"of":[29,45,83,92,101],"neural":[30],"activity":[31],"in":[32,41],"the":[33,81,87,99,105,110],"high-dimensional":[34],"space,":[35],"which":[36],"demonstrated":[38],"promising":[39],"performances":[40],"a":[42],"wide":[43],"range":[44],"applications":[46],"such":[47],"robotics,":[49],"biomedical":[50],"signal":[51],"processing,":[52],"genome":[54],"sequencing.":[55],"Language":[56],"tasks,":[57],"generally":[58],"solved":[59],"using":[60],"machine":[61],"learning":[62],"methods,":[63],"are":[64],"widely":[65],"deployed":[66],"on":[67],"low-power":[68,84],"embedded":[69,85],"devices.":[70],"However,":[71],"existing":[72],"solutions":[74],"suffer":[75],"from":[76],"major":[77],"challenges":[78],"that":[79],"impede":[80],"deployment":[82],"devices:":[86],"storage":[88],"computation":[90],"overhead":[91],"models":[94],"grows":[95],"dramatically":[96],"with":[97],"(i)":[98],"number":[100],"dimensions":[102],"(ii)":[104],"complex":[106],"similarity":[107],"metric":[108],"during":[109],"inference.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}