{"id":"https://openalex.org/W4386763441","doi":"https://doi.org/10.1109/dac56929.2023.10247876","title":"DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification","display_name":"DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386763441","doi":"https://doi.org/10.1109/dac56929.2023.10247876"},"language":"en","primary_location":{"id":"doi:10.1109/dac56929.2023.10247876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102012359","display_name":"Junyao Wang","orcid":"https://orcid.org/0000-0001-8533-826X"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyao Wang","raw_affiliation_strings":["University of California,Department of Computer Science,Irvine,CA,United States","Department of Computer Science, University of California, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Computer Science,Irvine,CA,United States","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Department of Computer Science, University of California, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050532440","display_name":"Sitao Huang","orcid":"https://orcid.org/0000-0001-7669-1467"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sitao Huang","raw_affiliation_strings":["University of California,Department of Electrical Engineering and Computer Science,Irvine,CA,United States","Department of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Electrical Engineering and Computer Science,Irvine,CA,United States","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033221192","display_name":"Mohsen Imani","orcid":"https://orcid.org/0000-0002-5761-0622"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Imani","raw_affiliation_strings":["University of California,Department of Computer Science,Irvine,CA,United States","Department of Computer Science, University of California, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Computer Science,Irvine,CA,United States","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Department of Computer Science, University of California, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9911999702453613,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9628000259399414,"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":0.8432838916778564},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6824699640274048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5825513601303101},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5410003662109375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5337347388267517},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5180256962776184},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5112414360046387},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5035719275474548},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5012917518615723},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44944313168525696},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41514915227890015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32867586612701416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23010241985321045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8432838916778564},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6824699640274048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5825513601303101},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5410003662109375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5337347388267517},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5180256962776184},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5112414360046387},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5035719275474548},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5012917518615723},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44944313168525696},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41514915227890015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32867586612701416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23010241985321045},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac56929.2023.10247876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1521723576","https://openalex.org/W1857382374","https://openalex.org/W2008056655","https://openalex.org/W2014226385","https://openalex.org/W2026297770","https://openalex.org/W2055940932","https://openalex.org/W2141125852","https://openalex.org/W2144902422","https://openalex.org/W2416799949","https://openalex.org/W2476008461","https://openalex.org/W2613567208","https://openalex.org/W2766401293","https://openalex.org/W2766585573","https://openalex.org/W2767079719","https://openalex.org/W2897044384","https://openalex.org/W2910334812","https://openalex.org/W2960833983","https://openalex.org/W2964223234","https://openalex.org/W2970402754","https://openalex.org/W3019791076","https://openalex.org/W3021575660","https://openalex.org/W3021654819","https://openalex.org/W3105115497","https://openalex.org/W3208591904","https://openalex.org/W4210566186","https://openalex.org/W4226145436","https://openalex.org/W4287639545","https://openalex.org/W6681302627","https://openalex.org/W6745394014","https://openalex.org/W6758613673","https://openalex.org/W6784225549","https://openalex.org/W6810811325"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W2129146436","https://openalex.org/W3089231081"],"abstract_inverted_index":{"The":[0,169],"Internet":[1],"of":[2,88,101,108,131,173,195,204,238],"Things":[3],"(IoT)":[4],"has":[5,63,257],"become":[6],"an":[7],"emerging":[8],"trend":[9],"that":[10,53,160,200],"connects":[11],"heterogeneous":[12],"devices":[13],"and":[14,30,39,80,86,103,136,153,157,164,180,226],"enables":[15],"them":[16],"with":[17,124,185,246],"new":[18],"capabilities.":[19],"Many":[20],"applications":[21],"exploit":[22],"machine":[23],"learning":[24,48,167,178,232],"methodology":[25],"to":[26,35,69,91,260],"dissect":[27],"collected":[28],"data,":[29],"edge":[31,57],"computing":[32,43],"was":[33],"introduced":[34],"enhance":[36],"the":[37,106,162,166,177,182,235],"efficiency":[38,102],"scalability":[40],"in":[41,97,111,240,264],"resource-constrained":[42],"environments.":[44],"Unfortunately,":[45],"popular":[46],"deep":[47],"algorithms":[49,110],"involve":[50],"intensive":[51],"computations":[52],"are":[54],"overcomplicated":[55],"for":[56,145],"devices.":[58],"Brain-inspired":[59],"Hyperdimensional":[60],"Computing":[61],"(HDC)":[62],"been":[64,258],"considered":[65],"a":[66,98,120,125,192],"promising":[67],"approach":[68],"address":[70],"this":[71,115,265],"issue.":[72],"However,":[73],"existing":[74],"HDC":[75,109,122,214],"methods":[76],"use":[77],"static":[78],"encoders,":[79],"thus":[81],"require":[82],"extremely":[83],"high":[84,241],"dimensionality":[85,218],"hundreds":[87],"training":[89,225],"iterations":[90],"achieve":[92],"reasonable":[93],"accuracy.":[94],"This":[95],"results":[96],"huge":[99],"loss":[100],"severely":[104],"impedes":[105],"application":[107],"power-limited":[112],"machines.":[113],"In":[114],"paper,":[116],"we":[117],"propose":[118],"DistHD,":[119],"novel":[121],"framework":[123],"unique":[126],"dynamic":[127],"encoding":[128],"technique":[129],"consisting":[130],"two":[132],"parts:":[133],"top-2":[134,140,143],"classification":[135,141,163,197],"dimension":[137,154],"regeneration.":[138],"Our":[139,189],"provides":[142,244],"labels":[144],"each":[146],"data":[147],"sample":[148],"based":[149],"on":[150,191,206],"cosine":[151],"similarity,":[152],"regeneration":[155],"identifies":[156],"regenerates":[158],"dimensions":[159],"mislead":[161],"reduce":[165],"quality.":[168],"highly":[170],"parallel":[171],"algorithm":[172],"DistHD":[174,201,245,256],"effectively":[175],"accelerates":[176],"process":[179],"achieves":[181],"desired":[183],"accuracy":[184,210],"considerably":[186],"lower":[187],"dimensionality.":[188],"evaluation":[190],"wide":[193],"range":[194],"practical":[196],"tasks":[198],"shows":[199],"is":[202],"capable":[203],"achieving":[205],"average":[207],"2.12%":[208],"higher":[209,248],"than":[211,230,253],"state-of-the-art":[212],"(SOTA)":[213],"approaches":[215],"while":[216],"reducing":[217],"by":[219],"8.0\u00d7.":[220],"It":[221],"delivers":[222],"5.97\u00d7":[223],"faster":[224,228],"8.09\u00d7":[227],"inference":[229],"SOTA":[231,254],"algorithms.":[233],"Additionally,":[234],"holographic":[236],"distribution":[237],"patterns":[239],"dimensional":[242],"space":[243],"12.90\u00d7":[247],"robustness":[249],"against":[250],"hardware":[251],"errors":[252],"DNNs.":[255],"open-sourced":[259],"enable":[261],"future":[262],"research":[263],"field.":[266],"<sup":[267],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[268],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[269]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
