{"id":"https://openalex.org/W3090768524","doi":"https://doi.org/10.1109/iscas45731.2020.9180405","title":"Weight Isolation-Based Binarized Neural Networks Accelerator","display_name":"Weight Isolation-Based Binarized Neural Networks Accelerator","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3090768524","doi":"https://doi.org/10.1109/iscas45731.2020.9180405","mag":"3090768524"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9180405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5069153072","display_name":"Zhangkong Xian","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangkong Xian","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029610297","display_name":"Hongge Li","orcid":"https://orcid.org/0000-0001-7107-7804"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongge Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100750717","display_name":"Yuliang Li","orcid":"https://orcid.org/0000-0002-0625-3995"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Li","raw_affiliation_strings":["School of Electronic and Information Engineeri, Beihang University, Beijing, China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineeri, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.50691709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.998199999332428,"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/T12676","display_name":"Machine Learning and ELM","score":0.9926999807357788,"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/retiming","display_name":"Retiming","score":0.8170242309570312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7665659189224243},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.6801860928535461},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6281258463859558},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5750278234481812},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5610684752464294},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5245038270950317},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.521665096282959},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5089981555938721},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4930207431316376},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.4834514558315277},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4781378507614136},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4561050534248352},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4538780450820923},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.43803736567497253},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4223434031009674},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4171648323535919},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3479729890823364},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.28822094202041626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1759229302406311},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11559900641441345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11256131529808044},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09342971444129944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08180171251296997}],"concepts":[{"id":"https://openalex.org/C41112130","wikidata":"https://www.wikidata.org/wiki/Q2146175","display_name":"Retiming","level":2,"score":0.8170242309570312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7665659189224243},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.6801860928535461},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6281258463859558},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5750278234481812},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5610684752464294},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5245038270950317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.521665096282959},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5089981555938721},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4930207431316376},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4834514558315277},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4781378507614136},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4561050534248352},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4538780450820923},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.43803736567497253},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4223434031009674},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4171648323535919},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3479729890823364},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.28822094202041626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1759229302406311},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11559900641441345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11256131529808044},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09342971444129944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08180171251296997},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas45731.2020.9180405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9180405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2163605009","https://openalex.org/W2257979135","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2565125333","https://openalex.org/W2570343428","https://openalex.org/W2765235648","https://openalex.org/W2929170389","https://openalex.org/W2935524202","https://openalex.org/W3102169921","https://openalex.org/W6684191040","https://openalex.org/W6700264148"],"related_works":["https://openalex.org/W2134549436","https://openalex.org/W233224440","https://openalex.org/W2160236198","https://openalex.org/W1951668625","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535","https://openalex.org/W4295935044","https://openalex.org/W3159906349"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,56],"introduce":[4],"a":[5,12,58,113],"binary":[6],"neural":[7],"network":[8],"accelerator":[9,92,111],"which":[10,36,63],"using":[11],"new":[13],"binarization":[14],"method":[15],"and":[16,23,42,85,118],"hardware":[17,46],"sparse.":[18],"We":[19],"propose":[20,57],"the":[21,24,38,50,70,82,86,89,101,109],"weights":[22],"activations":[25],"to":[26,76],"either":[27],"1":[28],"or":[29,34],"0":[30],"instead":[31],"of":[32,115],"+1":[33],"\u22121,":[35],"makes":[37],"convolution":[39],"process":[40],"simplified":[41],"more":[43],"suitable":[44],"for":[45],"implementation.":[47],"To":[48],"decrease":[49],"data":[51,60,67],"access":[52],"from":[53],"off-chip":[54],"memory,":[55],"novel":[59],"reuse":[61],"method,":[62],"can":[64],"reduce":[65,77],"58.8%":[66],"access,":[68],"while":[69],"weight":[71,83],"isolation":[72,84],"logic":[73],"is":[74],"designed":[75],"power":[78,95],"consumption.":[79],"Based":[80],"on":[81],"retiming":[87],"technique,":[88],"proposed":[90,110],"BNN":[91],"achieves":[93,112],"low":[94],"consumption":[96],"at":[97],"500MHz":[98],"clock":[99],"by":[100],"VC709":[102],"Evaluation":[103],"Kit.":[104],"Experimental":[105],"results":[106],"show":[107],"that":[108],"throughput":[114],"3378":[116],"GOPS":[117],"1624":[119],"GOPS/W":[120],"energy":[121],"efficiency.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
