{"id":"https://openalex.org/W4408356257","doi":"https://doi.org/10.1109/icassp49660.2025.10890361","title":"Memory-Free and Parallel Computation for Quantized Spiking Neural Networks","display_name":"Memory-Free and Parallel Computation for Quantized Spiking Neural Networks","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408356257","doi":"https://doi.org/10.1109/icassp49660.2025.10890361"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5046162247","display_name":"Dehao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dehao Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328259","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0002-0288-4212"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016813192","display_name":"Yichen Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Xiao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041639029","display_name":"Wenjie Wei","orcid":"https://orcid.org/0009-0002-7753-2948"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Wei","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101215843","display_name":"Yimeng Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimeng Shan","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108854577","display_name":"Malu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Malu Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397644","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-6297-5722"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5046162247"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.6232,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89108473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9839000105857849,"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":0.7398503422737122},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5677222013473511},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5195144414901733},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5017292499542236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47207188606262207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29908180236816406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1640736162662506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398503422737122},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5677222013473511},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5195144414901733},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5017292499542236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47207188606262207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29908180236816406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1640736162662506}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2002137130","https://openalex.org/W2006370340","https://openalex.org/W2108598243","https://openalex.org/W2164653071","https://openalex.org/W2619510810","https://openalex.org/W2621826044","https://openalex.org/W2892077605","https://openalex.org/W2962804204","https://openalex.org/W2971198113","https://openalex.org/W2984844508","https://openalex.org/W3102040318","https://openalex.org/W3106704229","https://openalex.org/W3135613337","https://openalex.org/W3175499161","https://openalex.org/W3180917267","https://openalex.org/W3200038452","https://openalex.org/W3208074141","https://openalex.org/W4200001736","https://openalex.org/W4238614602","https://openalex.org/W4286221450","https://openalex.org/W4319866562","https://openalex.org/W4382459223","https://openalex.org/W4385482698","https://openalex.org/W4386708398","https://openalex.org/W4386825396","https://openalex.org/W4388052796","https://openalex.org/W4392903743","https://openalex.org/W4393158681","https://openalex.org/W4393160430","https://openalex.org/W4393168988","https://openalex.org/W4394698802","https://openalex.org/W4403791196","https://openalex.org/W4408173737","https://openalex.org/W4409346389","https://openalex.org/W6787972765","https://openalex.org/W6853666707"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Quantized":[0],"Spiking":[1],"Neural":[2],"Networks":[3],"(QSNNs)":[4],"offer":[5],"superior":[6],"energy":[7,104],"efficiency":[8,149],"and":[9,22,94,103,112,120,137,144,150],"are":[10],"well-suited":[11],"for":[12,41,158],"deployment":[13],"on":[14,134],"resource-limited":[15],"edge":[16],"devices.":[17],"However,":[18],"limited":[19],"bit-width":[20],"weight":[21],"membrane":[23,53,73],"potential":[24,157],"result":[25],"in":[26,76],"a":[27,37,61,91,118],"notable":[28],"performance":[29,78,133],"decline.":[30],"In":[31],"this":[32,42,57],"study,":[33],"we":[34,59,89],"first":[35],"identify":[36],"new":[38],"underlying":[39],"cause":[40],"decline:":[43],"the":[44,51,86,108,153],"loss":[45],"of":[46,152],"historical":[47,68],"information":[48,69],"due":[49],"to":[50,116],"quantized":[52],"potential.":[54],"To":[55,83],"tackle":[56],"issue,":[58],"introduce":[60],"memory-free":[62,110],"quantization":[63,111],"method":[64],"that":[65,98,128],"captures":[66],"all":[67],"without":[70],"directly":[71],"storing":[72],"potentials,":[74],"resulting":[75],"better":[77],"with":[79],"less":[80,142],"memory":[81,143],"requirements.":[82],"further":[84],"improve":[85],"computational":[87],"efficiency,":[88],"propose":[90],"parallel":[92,113],"training":[93,101,146],"asynchronous":[95],"inference":[96],"framework":[97],"greatly":[99],"increases":[100],"speed":[102],"efficiency.":[105],"We":[106],"combine":[107],"proposed":[109],"computation":[114],"methods":[115],"develop":[117],"high-performance":[119],"efficient":[121],"QSNN,":[122],"named":[123],"MFP-QSNN.":[124],"Extensive":[125],"experiments":[126],"show":[127],"our":[129],"MFP-QSNN":[130,154],"achieves":[131],"state-of-the-art":[132],"various":[135],"static":[136],"neuromorphic":[138,160],"image":[139],"datasets,":[140],"requiring":[141],"faster":[145],"speeds.":[147],"The":[148],"efficacy":[151],"highlight":[155],"its":[156],"energy-efficient":[159],"computing.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
