{"id":"https://openalex.org/W2921943113","doi":"https://doi.org/10.1109/access.2019.2905138","title":"Sensitivity-Oriented Layer-Wise Acceleration and Compression for Convolutional Neural Network","display_name":"Sensitivity-Oriented Layer-Wise Acceleration and Compression for Convolutional Neural Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921943113","doi":"https://doi.org/10.1109/access.2019.2905138","mag":"2921943113"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2905138","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905138","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667287.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667287.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000288828","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0001-9715-6957"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9715-6957","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472380","display_name":"Yue Niu","orcid":"https://orcid.org/0000-0002-1663-2921"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Niu","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087863930","display_name":"Guanwen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanwen Zhang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000288828"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4082,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64093595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"38264","last_page":"38272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996999979019165,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7962490320205688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919073104858398},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7652679681777954},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6867872476577759},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5788127779960632},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.47590765357017517},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4601673483848572},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4364308714866638},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4198639690876007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4090942442417145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3491269648075104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32184433937072754},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.0981607735157013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07969433069229126},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07522255182266235}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7962490320205688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919073104858398},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7652679681777954},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6867872476577759},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5788127779960632},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.47590765357017517},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4601673483848572},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4364308714866638},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4198639690876007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4090942442417145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3491269648075104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32184433937072754},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0981607735157013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07969433069229126},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07522255182266235},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"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/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2905138","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905138","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667287.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c733c7af5d1479bb6b2deeeace432e3","is_oa":true,"landing_page_url":"https://doaj.org/article/5c733c7af5d1479bb6b2deeeace432e3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 38264-38272 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2905138","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905138","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667287.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1249516248","display_name":null,"funder_award_id":"2017JQ6019","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G3772749610","display_name":null,"funder_award_id":"61602383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4092732679","display_name":null,"funder_award_id":"2018JQ6016","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G4791232520","display_name":null,"funder_award_id":"61772424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G839588479","display_name":null,"funder_award_id":"61702418","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"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921943113.pdf","grobid_xml":"https://content.openalex.org/works/W2921943113.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1532826273","https://openalex.org/W1686810756","https://openalex.org/W1832693441","https://openalex.org/W1896080482","https://openalex.org/W1902041153","https://openalex.org/W1903029394","https://openalex.org/W1974733184","https://openalex.org/W1996901117","https://openalex.org/W2008056655","https://openalex.org/W2022508996","https://openalex.org/W2087618018","https://openalex.org/W2094756095","https://openalex.org/W2102605133","https://openalex.org/W2117696986","https://openalex.org/W2119144962","https://openalex.org/W2125389748","https://openalex.org/W2155893237","https://openalex.org/W2155968351","https://openalex.org/W2163605009","https://openalex.org/W2172166488","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2276486856","https://openalex.org/W2395611524","https://openalex.org/W2487852963","https://openalex.org/W2525098248","https://openalex.org/W2561455088","https://openalex.org/W2746553466","https://openalex.org/W2766272105","https://openalex.org/W2805667690","https://openalex.org/W2952899695","https://openalex.org/W2963048316","https://openalex.org/W2963542991","https://openalex.org/W2964228333","https://openalex.org/W2964350391","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6631798071","https://openalex.org/W6683826617","https://openalex.org/W6752344070"],"related_works":["https://openalex.org/W1512321724","https://openalex.org/W4231317009","https://openalex.org/W2367696392","https://openalex.org/W4383723869","https://openalex.org/W4293703255","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W1723410974"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"achieved":[5],"excellent":[6],"performance":[7,98],"improvement":[8],"in":[9,35,50],"image":[10],"processing":[11],"and":[12,20,37,68,139,153],"other":[13],"machine":[14],"learning":[15],"tasks.":[16],"However,":[17],"tremendous":[18],"computation":[19],"memory":[21],"consumption":[22],"for":[23],"most":[24],"classical":[25],"CNN":[26],"models":[27],"pose":[28],"a":[29,59,95],"great":[30],"challenge":[31],"to":[32],"the":[33,45,48,54,71,107,118,125,128],"deployment":[34],"portable":[36],"power-limited":[38],"devices.":[39],"In":[40,85],"this":[41],"paper,":[42],"by":[43],"analyzing":[44],"sensitivity":[46,76],"of":[47,53],"rank":[49],"each":[51],"layer":[52,73],"network":[55],"accuracy,":[56],"we":[57,87],"propose":[58],"sensitivity-oriented":[60],"layer-wise":[61,100],"low-rank":[62],"approximation":[63],"algorithm.":[64],"With":[65],"specific":[66],"compression":[67],"acceleration":[69,113],"requirement,":[70],"convolutional":[72,137],"with":[74,82,117,148],"higher":[75],"keeps":[77],"more":[78],"kernels":[79],"than":[80,99],"that":[81,90,106],"lower":[83],"sensitivity.":[84],"addition,":[86],"also":[88],"demonstrated":[89],"global":[91],"optimization":[92],"can":[93,110,131],"obtain":[94],"better":[96],"classification":[97],"fine-tuning.":[101],"The":[102],"experimental":[103],"results":[104],"show":[105],"proposed":[108,129],"method":[109,130],"achieve":[111,132],"20%":[112],"ratio":[114,135,142],"gaining":[115],"compared":[116],"traditional":[119],"rank-reducing":[120],"methods.":[121],"When":[122],"deployed":[123],"on":[124,136,143],"VGGNet-16":[126],"model,":[127],"2.7x":[133],"compression/acceleration":[134,141],"layers":[138,147],"10.9x":[140],"fully":[144],"connected":[145],"(FC)":[146],"0.05%":[149],"top-1":[150],"accuracy":[151,156],"loss":[152],"0.01%":[154],"top-5":[155],"loss.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
