{"id":"https://openalex.org/W4416706906","doi":"https://doi.org/10.1109/tai.2025.3636850","title":"KR-SWP: Knowledge Reuse for Stripe-Wise Pruning","display_name":"KR-SWP: Knowledge Reuse for Stripe-Wise Pruning","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4416706906","doi":"https://doi.org/10.1109/tai.2025.3636850"},"language":null,"primary_location":{"id":"doi:10.1109/tai.2025.3636850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3636850","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-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/A5040958758","display_name":"Zheng Huo","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Huo","raw_affiliation_strings":["Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0007-3128-4033","affiliations":[{"raw_affiliation_string":"Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101196081","display_name":"Jiazhen Xu","orcid":"https://orcid.org/0009-0006-7870-0340"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazhen Xu","raw_affiliation_strings":["Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0006-5457-9996","affiliations":[{"raw_affiliation_string":"Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022066800","display_name":"Jiafei Wu","orcid":"https://orcid.org/0009-0001-8125-1586"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiafei Wu","raw_affiliation_strings":["University of Aizu, Fukushima, Japan"],"raw_orcid":"https://orcid.org/0009-0001-8125-1586","affiliations":[{"raw_affiliation_string":"University of Aizu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329436","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0002-0541-2210"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Wang","raw_affiliation_strings":["Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-6016-6545","affiliations":[{"raw_affiliation_string":"Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenxiu Huang","orcid":"https://orcid.org/0009-0002-1769-7249"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiu Huang","raw_affiliation_strings":["Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0002-1769-7249","affiliations":[{"raw_affiliation_string":"Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004828717","display_name":"Jiangbo Qian","orcid":"https://orcid.org/0000-0003-4245-3246"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Qian","raw_affiliation_strings":["Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-4245-3246","affiliations":[{"raw_affiliation_string":"Merchants&#x2019; Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33050081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"6","first_page":"3248","last_page":"3258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7441999912261963,"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":0.7441999912261963,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.019099999219179153,"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":0.01600000075995922,"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/pruning","display_name":"Pruning","score":0.9024999737739563},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6962000131607056},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.553600013256073},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.536300003528595},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5335999727249146},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5174999833106995}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.9024999737739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559999823570251},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6962000131607056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5996000170707703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5809999704360962},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5174999833106995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2778583558","wikidata":"https://www.wikidata.org/wiki/Q771245","display_name":"Code reuse","level":3,"score":0.2687999904155731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3636850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3636850","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3852547248","display_name":null,"funder_award_id":"62271274","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pruning":[0],"neural":[1],"networks":[2],"presents":[3],"a":[4,21,79,120],"promising":[5],"avenue":[6],"for":[7,89],"compressing":[8],"and":[9,105],"accelerating":[10],"contemporary":[11],"deep":[12],"convolutional":[13],"networks.":[14],"Recently,":[15],"researchers":[16],"have":[17],"increasingly":[18],"focused":[19],"on":[20,127],"new":[22],"kind":[23],"of":[24,49,70,134],"stripe-wise":[25,87],"pruning":[26,41,60],"(SWP)":[27],"methods,":[28,42],"which":[29],"offers":[30],"finer":[31],"granularity":[32],"compared":[33],"to":[34,66,103],"traditional":[35],"techniques.":[36],"However,":[37],"most":[38],"prior":[39],"network":[40],"including":[43],"SWP,":[44],"suffer":[45],"from":[46,85],"the":[47,67,99,132],"issue":[48],"\u201cwrong":[50],"pruning.\u201d":[51],"During":[52],"model":[53],"training,":[54],"particularly":[55],"in":[56],"its":[57],"early":[58],"stages,":[59],"decisions":[61],"are":[62,96,116],"often":[63],"sub-optimal,":[64],"leading":[65],"premature":[68],"elimination":[69],"crucial":[71],"weights.":[72],"To":[73],"mitigate":[74],"this":[75],"problem,":[76],"we":[77],"propose":[78],"novel":[80],"framework":[81],"that":[82],"re-utilizes":[83],"knowledge":[84],"pruned":[86],"weights":[88],"SWP.":[90],"The":[91,138],"unique":[92],"stripe":[93],"repair":[94,106],"phases":[95],"inserted":[97],"into":[98],"standard":[100],"training":[101],"process":[102],"identify":[104],"those":[107],"mis-pruned":[108],"stripes.":[109],"Additionally,":[110],"halfway-pruned":[111],"models":[112],"with":[113],"varying":[114],"structures":[115],"also":[117],"selectively":[118],"reused":[119],"self-knowledge":[121],"distillation":[122],"manner.":[123],"Comprehensive":[124],"experiments":[125],"conducted":[126],"three":[128],"public":[129],"datasets":[130],"demonstrate":[131],"effectiveness":[133],"our":[135],"proposed":[136],"model.":[137],"code":[139],"will":[140],"be":[141],"released":[142],"subsequently.":[143]},"counts_by_year":[],"updated_date":"2026-06-02T06:17:35.589633","created_date":"2025-11-27T00:00:00"}
