{"id":"https://openalex.org/W4312628108","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892389","title":"Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration","display_name":"Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312628108","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892389"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892389","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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 International Joint Conference on Neural Networks (IJCNN)","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/A5029390521","display_name":"Jianrong Xu","orcid":"https://orcid.org/0000-0002-2168-2296"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrong Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090328369","display_name":"Boyu Diao","orcid":"https://orcid.org/0000-0002-8360-7718"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyu Diao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016869017","display_name":"Bifeng Cui","orcid":"https://orcid.org/0000-0003-3880-6010"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bifeng Cui","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405797","display_name":"Kang Yang","orcid":"https://orcid.org/0000-0001-9435-4202"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Yang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323094","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-6110-6210"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069578798","display_name":"Hailong Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Hong","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1","last_page":"8"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.6535908579826355},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.651416540145874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6052992343902588},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.562009334564209},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5209023356437683},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5149205923080444},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.509865403175354},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.5059735178947449},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4847947657108307},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.47237733006477356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4446415305137634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.433524489402771},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42930975556373596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4131363034248352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3660179376602173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23374223709106445},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09337380528450012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535908579826355},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.651416540145874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6052992343902588},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.562009334564209},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5209023356437683},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5149205923080444},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.509865403175354},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.5059735178947449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4847947657108307},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.47237733006477356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4446415305137634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.433524489402771},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42930975556373596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4131363034248352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3660179376602173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23374223709106445},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09337380528450012},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892389","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2119144962","https://openalex.org/W2120972216","https://openalex.org/W2125389748","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2285660444","https://openalex.org/W2585123518","https://openalex.org/W2764043458","https://openalex.org/W2792760996","https://openalex.org/W2808168148","https://openalex.org/W2896409484","https://openalex.org/W2919192593","https://openalex.org/W2924515500","https://openalex.org/W2928560789","https://openalex.org/W2954650510","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963363373","https://openalex.org/W2963382930","https://openalex.org/W2963828549","https://openalex.org/W2963920537","https://openalex.org/W2964266063","https://openalex.org/W3093992893","https://openalex.org/W3104591140","https://openalex.org/W3137329786","https://openalex.org/W3176153963","https://openalex.org/W3185811833","https://openalex.org/W3187127611","https://openalex.org/W4221155125","https://openalex.org/W4286988270","https://openalex.org/W4287777801","https://openalex.org/W4287864863","https://openalex.org/W6631943919","https://openalex.org/W6637050416","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6678000929","https://openalex.org/W6678583879","https://openalex.org/W6684191040","https://openalex.org/W6726275242","https://openalex.org/W6745148473","https://openalex.org/W6745499552","https://openalex.org/W6749776392","https://openalex.org/W6755843862","https://openalex.org/W6763067651","https://openalex.org/W6777017071","https://openalex.org/W6786356672","https://openalex.org/W6790051038","https://openalex.org/W6796978233","https://openalex.org/W6798016242","https://openalex.org/W6800703260","https://openalex.org/W6810127701"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2565094479","https://openalex.org/W2594301978","https://openalex.org/W2390829436","https://openalex.org/W2379704676","https://openalex.org/W4205181450","https://openalex.org/W4206030159","https://openalex.org/W1510085384"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"achieved":[3],"impressive":[4],"results":[5],"in":[6,63],"many":[7],"areas,":[8],"but":[9],"the":[10,57,67,73,89,95,113,120,124,137,151],"deployment":[11],"of":[12,66,72,108],"edge":[13],"intelligent":[14],"devices":[15],"is":[16,77,110,154],"still":[17],"very":[18],"slow.":[19],"To":[20],"solve":[21],"this":[22],"problem,":[23],"we":[24],"propose":[25],"a":[26],"novel":[27],"compression":[28],"and":[29,69,99],"acceleration":[30],"method":[31],"based":[32],"on":[33,133,140,158],"data":[34],"distribution":[35],"characteristics":[36],"for":[37],"deep":[38],"neural":[39],"networks,":[40],"namely":[41],"Pruning":[42],"Filter":[43],"via":[44],"Gaussian":[45],"Distribution":[46],"Feature":[47],"(PFGDF).":[48],"Compared":[49],"with":[50,61,144],"previous":[51],"advanced":[52],"pruning":[53,83,106],"methods,":[54],"PFGDF":[55,76,109,117,129,135],"compresses":[56,136],"model":[58,114],"by":[59,116,142,156],"filters":[60],"insignificance":[62],"distribution,":[64],"regardless":[65],"contribution":[68],"sensitivity":[70],"information":[71],"convolution":[74,138],"filter.":[75],"significantly":[78],"different":[79],"from":[80],"weight":[81,97],"sparsification":[82],"because":[84],"it":[85],"does":[86],"not":[87],"require":[88],"special":[90],"accelerated":[91,155],"library":[92],"to":[93],"process":[94,107],"sparse":[96],"matrix":[98],"introduces":[100],"no":[101],"more":[102,145],"extra":[103],"parameters.":[104],"The":[105],"automated.":[111],"Furthermore,":[112],"compressed":[115],"can":[118],"restore":[119],"same":[121],"performance":[122],"as":[123],"uncompressed":[125],"model.":[126],"We":[127],"evaluate":[128],"through":[130],"extensive":[131],"experiments,":[132],"CIFAR-10,":[134],"filter":[139],"VGG-16":[141],"66.62%":[143],"than":[146],"90%":[147],"parameter":[148],"reduced,":[149],"while":[150],"inference":[152],"time":[153],"83.73%":[157],"Huawei":[159],"MATE":[160],"10.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
