{"id":"https://openalex.org/W4414198969","doi":"https://doi.org/10.1109/dac63849.2025.11132886","title":"FactorHD: A Hyperdimensional Computing Model for Multi-Object Multi-Class Representation and Factorization","display_name":"FactorHD: A Hyperdimensional Computing Model for Multi-Object Multi-Class Representation and Factorization","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414198969","doi":"https://doi.org/10.1109/dac63849.2025.11132886"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11132886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5109118221","display_name":"Yifei Zhou","orcid":"https://orcid.org/0000-0001-8320-6212"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Zhou","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476409","display_name":"Xuchu Huang","orcid":"https://orcid.org/0000-0001-5900-2455"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchu Huang","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033928973","display_name":"Can Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Ni","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011854479","display_name":"Min Zhou","orcid":"https://orcid.org/0000-0003-2326-5223"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhou","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059093077","display_name":"Zheyu Yan","orcid":"https://orcid.org/0000-0003-1830-606X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheyu Yan","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071383109","display_name":"Xunzhao Yin","orcid":"https://orcid.org/0000-0003-4656-9545"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunzhao Yin","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019840038","display_name":"Cheng Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhuo","raw_affiliation_strings":["Zhejiang University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5109118221"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30066914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.8841999769210815,"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"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.8841999769210815,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.7534000277519226},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6535999774932861},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5748000144958496},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5274999737739563},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.524399995803833},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.5054000020027161},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.46790000796318054},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4350999891757965}],"concepts":[{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.7534000277519226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944000124931335},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6535999774932861},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5748000144958496},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.555899977684021},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.524399995803833},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.5054000020027161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4934000074863434},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45159998536109924},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3531999886035919},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11132886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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":23,"referenced_works":["https://openalex.org/W2019205473","https://openalex.org/W2106963348","https://openalex.org/W2157306293","https://openalex.org/W2963690694","https://openalex.org/W2983032988","https://openalex.org/W2988640543","https://openalex.org/W3019791076","https://openalex.org/W3093755763","https://openalex.org/W3094277857","https://openalex.org/W3200351420","https://openalex.org/W3214202924","https://openalex.org/W4200453463","https://openalex.org/W4206647573","https://openalex.org/W4210566186","https://openalex.org/W4293216350","https://openalex.org/W4298109238","https://openalex.org/W4312121036","https://openalex.org/W4323530352","https://openalex.org/W4360977202","https://openalex.org/W4362459302","https://openalex.org/W4362700144","https://openalex.org/W4402364428","https://openalex.org/W4404102453"],"related_works":[],"abstract_inverted_index":{"Neuro-symbolic":[0],"artificial":[1],"intelligence":[2],"(neurosymbolic":[3],"AI)":[4],"excels":[5],"in":[6,134],"logical":[7],"analysis":[8],"and":[9,33,52,79,132,136,153],"reasoning.":[10],"Hyperdimensional":[11],"Computing":[12],"(HDC),":[13],"a":[14,59,72,88,169],"promising":[15],"braininspired":[16],"computational":[17],"model,":[18],"is":[19],"integral":[20],"to":[21,30,175],"neuro-symbolic":[22,63],"AI.":[23],"Various":[24],"HDC":[25,74,147,177],"models":[26,148],"have":[27],"been":[28],"proposed":[29],"represent":[31],"class-instance":[32],"class-class":[34],"relations,":[35],"but":[36],"when":[37],"representing":[38,78,135],"the":[39,81,119,123,182,193],"more":[40,99],"complex":[41,82],"class-subclass":[42,83,141],"relation,":[43,142],"where":[44],"multiple":[45,102,138],"objects":[46,139],"associate":[47],"different":[48],"levels":[49],"of":[50,77,122,145,156,172],"classes":[51,116],"subclasses,":[53],"they":[54],"face":[55],"challenges":[56],"for":[57,62,101],"factorization,":[58],"crucial":[60],"task":[61],"AI":[64],"systems.":[65],"In":[66,104],"this":[67],"article,":[68],"we":[69],"propose":[70],"FactorHD,":[71],"novel":[73],"model":[75,127],"capable":[76],"factorizing":[80,137],"relation":[84],"efficiently.":[85],"FactorHD":[86,162,186],"features":[87],"symbolic":[89],"encoding":[90],"method":[91],"that":[92,112,161],"embeds":[93],"an":[94,108],"extra":[95],"memorization":[96,120],"clause,":[97],"preserving":[98],"information":[100],"objects.":[103],"addition,":[105],"it":[106],"employs":[107],"efficient":[109],"factorization":[110,190],"algorithm":[111],"selectively":[113],"eliminates":[114],"redundant":[115],"by":[117],"identifying":[118],"clause":[121],"target":[124],"class.":[125],"Such":[126],"significantly":[128],"enhances":[129],"computing":[130],"efficiency":[131],"accuracy":[133,191],"with":[140,181],"overcoming":[143],"limitations":[144],"existing":[146,176],"such":[149],"as":[150],"\u201csuperposition":[151],"catastrophe\u201d":[152],"\u201cthe":[154],"problem":[155],"2":[157],"\u201c.":[158],"Evaluations":[159],"show":[160],"achieves":[163,187],"approximately":[164],"$5667":[165],"\\times$":[166],"speedup":[167],"at":[168],"representation":[170],"size":[171],"$10^{9}$":[173],"compared":[174],"models.":[178],"When":[179],"integrated":[180],"ResNet-18":[183],"neural":[184],"network,":[185],"$92.48":[188],"\\%$":[189],"on":[192],"Cifar-10":[194],"dataset.":[195]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
