{"id":"https://openalex.org/W4391183684","doi":"https://doi.org/10.1109/asicon58565.2023.10396267","title":"A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips","display_name":"A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183684","doi":"https://doi.org/10.1109/asicon58565.2023.10396267"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5089592564","display_name":"Wenyong Zhou","orcid":"https://orcid.org/0000-0001-7651-8760"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenyong Zhou","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062762447","display_name":"Yuan Ren","orcid":"https://orcid.org/0000-0002-7903-7556"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Ren","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851566","display_name":"Jiajun Zhou","orcid":"https://orcid.org/0000-0001-6328-4256"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiajun Zhou","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052750765","display_name":"Tianshu Hou","orcid":"https://orcid.org/0000-0001-5349-1825"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianshu Hou","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Micro/Nano Electronics,Shanghai,China","Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Micro/Nano Electronics,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089592564"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.4021,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62215041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"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/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":0.9966999888420105,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.8678988218307495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6859687566757202},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.47774022817611694},{"id":"https://openalex.org/keywords/memistor","display_name":"Memistor","score":0.4652562737464905},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.35793280601501465},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3481876850128174},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3379446268081665},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.23432657122612},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1357928216457367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10879051685333252},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07071524858474731}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.8678988218307495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859687566757202},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.47774022817611694},{"id":"https://openalex.org/C1895703","wikidata":"https://www.wikidata.org/wiki/Q6034938","display_name":"Memistor","level":4,"score":0.4652562737464905},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.35793280601501465},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3481876850128174},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3379446268081665},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.23432657122612},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1357928216457367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10879051685333252},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07071524858474731},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2966402716","https://openalex.org/W3005619596","https://openalex.org/W3022015628","https://openalex.org/W3034513523","https://openalex.org/W4285121610","https://openalex.org/W4389692266","https://openalex.org/W6637373629","https://openalex.org/W6677580257","https://openalex.org/W6770425567"],"related_works":["https://openalex.org/W3170109256","https://openalex.org/W2185262500","https://openalex.org/W4251693286","https://openalex.org/W1543954628","https://openalex.org/W4385367273","https://openalex.org/W2780290013","https://openalex.org/W2797315502","https://openalex.org/W2163054919","https://openalex.org/W4252977987","https://openalex.org/W3216217287"],"abstract_inverted_index":{"Designing":[0],"lightweight":[1,57],"convolutional":[2],"neural":[3],"network":[4],"(CNN)":[5],"models":[6],"is":[7,43],"an":[8,78],"active":[9],"research":[10],"area":[11],"in":[12,32,108,142],"edge":[13],"AI.":[14],"Compute-in-memory":[15],"(CIM)":[16],"provides":[17],"a":[18,44,92,99,112,125],"new":[19],"computing":[20],"paradigm":[21],"to":[22,49,111,134],"alleviate":[23],"time":[24,153],"and":[25,52,116,120,154,159,167],"energy":[26,121,155],"consumption":[27],"caused":[28],"by":[29,69],"data":[30],"transfer":[31],"von":[33],"Neumann":[34],"architecture.":[35],"Among":[36],"competing":[37],"alternatives,":[38],"resistive":[39],"random-access":[40],"memory":[41],"(RRAM)":[42],"promising":[45],"CIM":[46],"device":[47],"owing":[48],"its":[50],"reliability":[51],"multi-bit":[53],"programmability.":[54],"However,":[55],"classical":[56],"designs":[58],"such":[59],"as":[60],"depthwise":[61],"convolution":[62],"incurs":[63],"under-utilization":[64],"of":[65,88,131,138],"RRAM":[66],"crossbars":[67],"restricted":[68],"their":[70],"inherently":[71],"dense":[72],"weight-to-RRAM":[73],"cell":[74],"mapping.":[75],"To":[76],"build":[77],"RRAM-friendly":[79],"yet":[80],"efficient":[81],"CNN,":[82],"we":[83,123],"evaluate":[84],"the":[85,104,136,139],"hardware":[86],"cost":[87],"DenseNet":[89,109],"which":[90],"maintains":[91],"high":[93],"accuracy":[94,164],"vs":[95],"other":[96],"CNNs":[97],"at":[98],"small":[100],"parameter":[101],"count.":[102],"Observing":[103],"linearly":[105],"increasing":[106],"channels":[107],"leads":[110],"low":[113],"crossbar":[114],"utilization":[115],"causes":[117],"large":[118],"latency":[119],"consumption,":[122],"propose":[124],"scheme":[126],"that":[127,147],"concatenates":[128],"feature":[129],"maps":[130],"front":[132],"layers":[133],"form":[135],"input":[137],"last":[140],"layer":[141],"each":[143],"stage.":[144],"Experiments":[145],"show":[146],"our":[148],"proposed":[149],"model":[150],"consumes":[151],"less":[152],"than":[156],"conventional":[157],"ResNet":[158],"DenseNet,":[160],"while":[161],"producing":[162],"competitive":[163],"on":[165],"CIFAR":[166],"ImageNet":[168],"datasets.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}