{"id":"https://openalex.org/W4392904454","doi":"https://doi.org/10.1109/icassp48485.2024.10448202","title":"Optimal ANN-SNN Conversion with Group Neurons","display_name":"Optimal ANN-SNN Conversion with Group Neurons","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904454","doi":"https://doi.org/10.1109/icassp48485.2024.10448202"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.19061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005977834","display_name":"Liuzhenghao Lv","orcid":"https://orcid.org/0000-0001-5604-1678"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuzhenghao Lv","raw_affiliation_strings":["Peking University,School of Electronic and Computer Engineering,China","School of Electronic and Computer Engineering, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic and Computer Engineering,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086567612","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0002-5561-7249"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["Peking University,School of Computer Science,China","School of Computer Science, Peking University, China","Peng Cheng Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yuan","raw_affiliation_strings":["Peking University,School of Electronic and Computer Engineering,China","School of Electronic and Computer Engineering, Peking University, China","Peng Cheng Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic and Computer Engineering,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["Peking University,School of Electronic and Computer Engineering,China","Peng Cheng Laboratory, China","School of Computer Science, Peking University, China","School of Electronic and Computer Engineering, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic and Computer Engineering,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6475","last_page":"6479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9987000226974487,"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/T10581","display_name":"Neural dynamics and brain function","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.8809897899627686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8149297833442688},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7438994646072388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435034275054932},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6378425359725952},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5207857489585876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5048988461494446},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4893597960472107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3682911992073059},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.06345802545547485}],"concepts":[{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.8809897899627686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149297833442688},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7438994646072388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435034275054932},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6378425359725952},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5207857489585876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5048988461494446},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4893597960472107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3682911992073059},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.06345802545547485},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.19061","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.19061","pdf_url":"https://arxiv.org/pdf/2402.19061","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2402.19061","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.19061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.19061","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.19061","pdf_url":"https://arxiv.org/pdf/2402.19061","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G4587952244","display_name":null,"funder_award_id":"62027804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5151253548","display_name":null,"funder_award_id":"62332002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8504279988","display_name":null,"funder_award_id":"62202014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8836417728","display_name":null,"funder_award_id":"No. 62027804","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392904454.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1995341919","https://openalex.org/W2006370340","https://openalex.org/W2020676607","https://openalex.org/W2164653071","https://openalex.org/W2621826044","https://openalex.org/W2775079417","https://openalex.org/W2783525259","https://openalex.org/W2944996566","https://openalex.org/W2966081953","https://openalex.org/W3035644810","https://openalex.org/W3126711481","https://openalex.org/W3157479837","https://openalex.org/W3165499928","https://openalex.org/W3170540448","https://openalex.org/W3188250490","https://openalex.org/W3213590062","https://openalex.org/W4221157818","https://openalex.org/W4280558494","https://openalex.org/W4285605441","https://openalex.org/W4297474556","https://openalex.org/W4321594125","https://openalex.org/W4323708667","https://openalex.org/W4382450050","https://openalex.org/W6790089871","https://openalex.org/W6796421320","https://openalex.org/W6796939779","https://openalex.org/W6850092244","https://openalex.org/W6850626707"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2055243143","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W3128807919","https://openalex.org/W3176411177"],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"(SNNs)":[3],"have":[4,82,115],"emerged":[5],"as":[6,18,102],"a":[7,34,84],"promising":[8],"third":[9],"generation":[10],"of":[11,29,54,87,97,147,171,177],"neural":[12,43,106],"networks,":[13],"offering":[14],"unique":[15],"characteristics":[16],"such":[17],"binary":[19],"outputs,":[20],"high":[21,64],"sparsity,":[22],"and":[23,63,104,165,181],"biological":[24],"plausibility.":[25],"However,":[26],"the":[27,49,117,125,129,133,169,172],"lack":[28],"effective":[30],"learning":[31],"algorithms":[32],"remains":[33],"challenge":[35],"for":[36,51],"SNNs.":[37],"For":[38],"instance,":[39],"while":[40,77],"converting":[41],"artificial":[42],"networks":[44],"(ANNs)":[45],"to":[46,60,70,152],"SNNs":[47,130],"circumvents":[48],"need":[50],"direct":[52],"training":[53],"SNNs,":[55,141],"it":[56],"encounters":[57],"issues":[58],"related":[59],"conversion":[61,75,120,135],"errors":[62,76],"inference":[65,79,158,179],"time":[66],"delays.":[67],"In":[68],"order":[69],"reduce":[71],"or":[72],"even":[73,154],"eliminate":[74],"decreasing":[78],"time-steps,":[80],"we":[81,114,123],"introduced":[83],"novel":[85],"type":[86],"neuron":[88],"called":[89],"Group":[90],"Neurons":[91],"(GNs).":[92],"One":[93],"GN":[94],"is":[95,184],"composed":[96],"multiple":[98],"Integrate-and-Fire":[99],"(IF)":[100],"neurons":[101,127],"members,":[103],"its":[105],"dynamics":[107],"are":[108,145],"meticulously":[109],"designed.":[110],"Based":[111],"on":[112,162],"GNs,":[113,144],"optimized":[116],"traditional":[118,134],"ANN-SNN":[119],"framework.":[121],"Specifically,":[122],"replace":[124],"IF":[126],"in":[128,175],"obtained":[131],"by":[132],"framework":[136],"with":[137],"GNs.":[138],"The":[139,160],"resulting":[140],"which":[142],"utilize":[143],"capable":[146],"achieving":[148],"accuracy":[149,180],"levels":[150],"comparable":[151],"ANNs":[153],"within":[155],"extremely":[156],"short":[157],"time-steps.":[159],"experiments":[161],"CIFAR10,":[163],"CIFAR100,":[164],"ImageNet":[166],"datasets":[167],"demonstrate":[168],"superiority":[170],"proposed":[173],"methods":[174],"terms":[176],"both":[178],"latency.":[182],"Code":[183],"available":[185],"at":[186],"https://github.com/Lyu6PosHao/ANN2SNN_GN.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
