{"id":"https://openalex.org/W4213110004","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712483","title":"Dynamic CNN Accelerator Supporting Efficient Filter Generator with Kernel Enhancement and Online Channel Pruning","display_name":"Dynamic CNN Accelerator Supporting Efficient Filter Generator with Kernel Enhancement and Online Channel Pruning","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4213110004","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712483"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac52403.2022.9712483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712483","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101867082","display_name":"Chen Tang","orcid":"https://orcid.org/0000-0001-6830-4113"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Tang","raw_affiliation_strings":["Tsinghua University Beijing China,Department of Electronic Engineering","Department of Electronic Engineering, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University Beijing China,Department of Electronic Engineering","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042633139","display_name":"Wenyu Sun","orcid":"https://orcid.org/0009-0009-3361-8097"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Sun","raw_affiliation_strings":["Tsinghua University Beijing China,Department of Electronic Engineering","Department of Electronic Engineering, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University Beijing China,Department of Electronic Engineering","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023029393","display_name":"Wenxun Wang","orcid":"https://orcid.org/0009-0007-1999-6441"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxun Wang","raw_affiliation_strings":["Tsinghua University Beijing China,Department of Electronic Engineering","Department of Electronic Engineering, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University Beijing China,Department of Electronic Engineering","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045721867","display_name":"Yongpan Liu","orcid":"https://orcid.org/0000-0002-4892-2309"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongpan Liu","raw_affiliation_strings":["Tsinghua University Beijing China,Department of Electronic Engineering","Department of Electronic Engineering, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University Beijing China,Department of Electronic Engineering","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"436","last_page":"441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/pruning","display_name":"Pruning","score":0.8210077881813049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.794610857963562},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6355383992195129},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6116087436676025},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5524385571479797},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5449106693267822},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4374941885471344},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.4289700388908386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4176478981971741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39740732312202454},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3755074143409729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3204781413078308},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.27694636583328247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10153478384017944}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8210077881813049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794610857963562},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6355383992195129},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6116087436676025},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5524385571479797},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5449106693267822},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4374941885471344},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.4289700388908386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4176478981971741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39740732312202454},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3755074143409729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3204781413078308},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.27694636583328247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10153478384017944},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asp-dac52403.2022.9712483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712483","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2604998962","https://openalex.org/W2752037867","https://openalex.org/W2806990599","https://openalex.org/W2884751099","https://openalex.org/W2896006880","https://openalex.org/W2905741102","https://openalex.org/W2928560789","https://openalex.org/W2963125010","https://openalex.org/W2982101047","https://openalex.org/W2987129023","https://openalex.org/W3092216062","https://openalex.org/W3092611426","https://openalex.org/W3127087574","https://openalex.org/W4297659253","https://openalex.org/W6694251005","https://openalex.org/W6743912273","https://openalex.org/W6751913510","https://openalex.org/W6753179690","https://openalex.org/W6755526309","https://openalex.org/W6757036269","https://openalex.org/W6767312599","https://openalex.org/W6864424756"],"related_works":["https://openalex.org/W4382323155","https://openalex.org/W4315697128","https://openalex.org/W3205506801","https://openalex.org/W2971502891","https://openalex.org/W2982536526","https://openalex.org/W4288417960","https://openalex.org/W2921438861","https://openalex.org/W3092292339","https://openalex.org/W4292794827","https://openalex.org/W4224939635"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"network":[2,33,64],"achieves":[3],"exciting":[4],"performance":[5],"in":[6],"several":[7],"tasks":[8],"with":[9,101],"heavy":[10],"storing":[11],"and":[12,44,62,77],"computing":[13],"costs.":[14],"Previous":[15],"works":[16],"adopt":[17],"pruning-based":[18],"methods":[19],"to":[20,57,136,142],"slim":[21],"deep":[22],"network.":[23],"For":[24],"traditional":[25],"pruning,":[26],"either":[27],"the":[28,32,41,67,74,78,88,91,95,112],"convolution":[29],"kernel":[30,60],"or":[31,104],"inference":[34,65],"is":[35],"static,":[36],"which":[37],"cannot":[38],"fully":[39],"compress":[40],"model":[42,121],"parameter":[43],"restrains":[45],"their":[46],"performance.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,86],"propose":[52],"an":[53],"online":[54],"pruning":[55,82,106],"algorithm":[56],"support":[58],"dynamic":[59,63,105],"generation":[61],"at":[66,124],"same":[68],"time.":[69],"Two":[70],"novel":[71],"techniques":[72],"including":[73],"filter":[75],"generator":[76],"importance-level":[79],"based":[80],"channel":[81],"are":[83,140],"proposed.":[84],"Moreover,":[85],"validate":[87],"success":[89],"of":[90],"proposed":[92],"method":[93,109],"by":[94,116],"implementation":[96],"on":[97,122,145],"Ultra96-v2":[98],"FPGA.":[99],"Compared":[100],"state-of-art":[102],"static":[103],"methods,":[107],"our":[108],"can":[110,129],"reduce":[111],"top-5":[113],"accuracy":[114,133],"drop":[115],"nearly":[117],"50%":[118,137],"for":[119],"ResNet":[120],"ImageNet":[123],"similar":[125],"compressing":[126],"level.":[127],"It":[128],"also":[130],"achieve":[131],"better":[132],"while":[134],"up":[135],"fewer":[138],"weights":[139],"reduced":[141],"be":[143],"saved":[144],"chip.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
