{"id":"https://openalex.org/W4283812641","doi":"https://doi.org/10.3390/sym14071372","title":"Channel Pruning Base on Joint Reconstruction Error for Neural Network","display_name":"Channel Pruning Base on Joint Reconstruction Error for Neural Network","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W4283812641","doi":"https://doi.org/10.3390/sym14071372"},"language":"en","primary_location":{"id":"doi:10.3390/sym14071372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14071372","pdf_url":"https://www.mdpi.com/2073-8994/14/7/1372/pdf?version=1656922459","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/7/1372/pdf?version=1656922459","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100654790","display_name":"Bin Li","orcid":"https://orcid.org/0000-0001-8268-0430"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Li","raw_affiliation_strings":["Gongqing Institute of Science and Technology, No. 1 Gongqing Road, Gongqing 332020, China","School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":"https://orcid.org/0000-0001-8268-0430","affiliations":[{"raw_affiliation_string":"Gongqing Institute of Science and Technology, No. 1 Gongqing Road, Gongqing 332020, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068377923","display_name":"Shimin Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shimin Xiong","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101830018","display_name":"Huixin Xu","orcid":"https://orcid.org/0000-0002-3812-1305"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixin Xu","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100654790"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.4894,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61688299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"7","first_page":"1372","last_page":"1372"},"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":0.9954000115394592,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7656148672103882},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6946507096290588},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6367023587226868},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5910987257957458},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5568804144859314},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5330266952514648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5214837789535522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40065228939056396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3731429874897003},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06184294819831848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656148672103882},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6946507096290588},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6367023587226868},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5910987257957458},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5568804144859314},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5330266952514648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5214837789535522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40065228939056396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3731429874897003},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06184294819831848},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14071372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14071372","pdf_url":"https://www.mdpi.com/2073-8994/14/7/1372/pdf?version=1656922459","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a83338acffa94802b9744cb020933abb","is_oa":true,"landing_page_url":"https://doaj.org/article/a83338acffa94802b9744cb020933abb","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":"Symmetry, Vol 14, Iss 7, p 1372 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/7/1372/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14071372","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14071372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14071372","pdf_url":"https://www.mdpi.com/2073-8994/14/7/1372/pdf?version=1656922459","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4283812641.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1996901117","https://openalex.org/W2167215970","https://openalex.org/W2194775991","https://openalex.org/W2580834719","https://openalex.org/W2739879705","https://openalex.org/W2891967877","https://openalex.org/W2962851801","https://openalex.org/W2963145730","https://openalex.org/W2963363373","https://openalex.org/W2964233199","https://openalex.org/W2976540144","https://openalex.org/W3034368386","https://openalex.org/W3034513523","https://openalex.org/W3104591140","https://openalex.org/W3108879696","https://openalex.org/W3138154797","https://openalex.org/W3180849877","https://openalex.org/W6725543821","https://openalex.org/W6786356672"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W4321276295"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,29,50],"propose":[4,30,51],"a":[5,25,47],"neural":[6,27,48,134,149],"network":[7,73,76,88,115,135],"channel":[8,84,97,101],"pruning":[9],"method":[10,108,128,167],"based":[11],"on":[12,161],"the":[13,20,31,37,42,52,59,68,86,92,96,99,103,110,113,118,130,133,139,145,148,154,157,162,165,171,174,178,181,190],"joint":[14,69,93],"reconstruction":[15,33,54],"error":[16,94],"(JRE).":[17],"To":[18,35],"preserve":[19],"global":[21,32],"discrimination":[22],"ability":[23],"of":[24,39,46,82,132,147,156,170,173,180,189],"pruned":[26,75,87,114,182],"network,":[28,49],"error.":[34,55,70],"ensure":[36],"integrity":[38],"information":[40],"in":[41,85,102,112],"forward":[43],"propagation":[44],"process":[45],"local":[53],"Finally,":[56],"through":[57],"normalization,":[58],"two":[60],"magnitude":[61],"mismatched":[62],"losses":[63],"are":[64,77],"combined":[65],"to":[66,117],"obtain":[67],"The":[71,80,106,126],"baseline":[72,104],"and":[74,98,121,136,177],"symmetrical":[78],"structures.":[79],"importance":[81,119],"each":[83],"is":[89,184],"determined":[90],"by":[91],"between":[95],"corresponding":[100],"network.":[105,150],"proposed":[107,127,166],"prunes":[109,168],"channels":[111,172],"according":[116],"score":[120],"then":[122],"restores":[123],"its":[124],"accuracy.":[125],"reduces":[129],"scale":[131],"speeds":[137],"up":[138],"model":[140,183],"inferring":[141],"speed":[142],"without":[143],"losing":[144],"accuracy":[146,179],"Experimental":[151],"results":[152],"show":[153],"effectiveness":[155],"method.":[158],"For":[159],"example,":[160],"CIFAR-10":[163],"dataset,":[164],"50%":[169],"VGG16":[175],"model,":[176],"0.46%":[185],"higher":[186],"than":[187],"that":[188],"original":[191],"model.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
