{"id":"https://openalex.org/W4392903844","doi":"https://doi.org/10.1109/icassp48485.2024.10446936","title":"G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs","display_name":"G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903844","doi":"https://doi.org/10.1109/icassp48485.2024.10446936"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5057558922","display_name":"Eunseop Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunseop Shin","raw_affiliation_strings":["Kyunghee University,Department of Computer Science and Engineering,Korea","Department of Computer Science and Engineering, Kyunghee University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyunghee University,Department of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyunghee University, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089709308","display_name":"I.K. Hyun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Incheon Cho","raw_affiliation_strings":["Kyunghee University,Department of Computer Science and Engineering,Korea","Department of Computer Science and Engineering, Kyunghee University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyunghee University,Department of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyunghee University, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778584","display_name":"Muhammad Awais","orcid":"https://orcid.org/0000-0003-3791-4140"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]},{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE","KR"],"is_corresponding":false,"raw_author_name":"Awais Muhammad","raw_affiliation_strings":["Kyunghee University,Department of Computer Science and Engineering,Korea","Department of Computer Science and Engineering, Kyunghee University, Korea","MBZ University of Artificial Intelligence, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyunghee University,Department of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyunghee University, Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"MBZ University of Artificial Intelligence, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022958958","display_name":"A. F. M. Shahab Uddin","orcid":"https://orcid.org/0000-0003-1074-0515"},"institutions":[{"id":"https://openalex.org/I133190216","display_name":"Shahjalal University of Science and Technology","ror":"https://ror.org/05hm0vv72","country_code":"BD","type":"education","lineage":["https://openalex.org/I133190216"]},{"id":"https://openalex.org/I41173762","display_name":"Mawlana Bhashani Science and Technology University","ror":"https://ror.org/00gvj4587","country_code":"BD","type":"education","lineage":["https://openalex.org/I41173762"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"A F M Shahab Uddin","raw_affiliation_strings":["Jashore University of Science and Technology,Department of Computer Science and Engineering,Bangladesh","Department of Computer Science and Engineering, Jashore University of Science and Technology, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jashore University of Science and Technology,Department of Computer Science and Engineering,Bangladesh","institution_ids":["https://openalex.org/I41173762"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Jashore University of Science and Technology, Bangladesh","institution_ids":["https://openalex.org/I133190216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081312340","display_name":"YounHo Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"YounHo Jang","raw_affiliation_strings":["Kyunghee University,Department of Computer Science and Engineering,Korea","Department of Computer Science and Engineering, Kyunghee University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyunghee University,Department of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyunghee University, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005200603","display_name":"Sung\u2010Ho Bae","orcid":"https://orcid.org/0000-0003-2677-3186"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Ho Bae","raw_affiliation_strings":["Kyunghee University,Department of Computer Science and Engineering,Korea","Department of Computer Science and Engineering, Kyunghee University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyunghee University,Department of Computer Science and Engineering,Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyunghee University, Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5955","last_page":"5959"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.6959514617919922},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6686679124832153},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5856620073318481},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5070347785949707},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5060493350028992},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47559985518455505},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.44925814867019653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43383318185806274},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4194732904434204},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.41582173109054565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4033915102481842},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.31482231616973877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20635220408439636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959514617919922},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6686679124832153},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5856620073318481},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5070347785949707},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5060493350028992},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47559985518455505},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.44925814867019653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43383318185806274},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4194732904434204},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.41582173109054565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4033915102481842},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.31482231616973877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20635220408439636},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1478288009","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G3872958509","display_name":null,"funder_award_id":"RS-2022-00155911","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4643994530","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4932531269","display_name":null,"funder_award_id":"RS-2022-00155911","funder_id":"https://openalex.org/F4320321332","funder_display_name":"Kyung Hee University"},{"id":"https://openalex.org/G585115220","display_name":null,"funder_award_id":"RS-2022-00155911","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6006750528","display_name":null,"funder_award_id":"2022-0-00759","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6988310032","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320324891","funder_display_name":"Iran Telecommunication Research Center"}],"funders":[{"id":"https://openalex.org/F4320321332","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1902041153","https://openalex.org/W1996901117","https://openalex.org/W2104636679","https://openalex.org/W2108598243","https://openalex.org/W2889609569","https://openalex.org/W2905878277","https://openalex.org/W2912251751","https://openalex.org/W2916954108","https://openalex.org/W2963363373","https://openalex.org/W2963809228","https://openalex.org/W2998843058","https://openalex.org/W3025722110","https://openalex.org/W3034818206","https://openalex.org/W3035421056","https://openalex.org/W3038789195","https://openalex.org/W3046975144","https://openalex.org/W3083297955","https://openalex.org/W3093643905","https://openalex.org/W3118608800","https://openalex.org/W3127751632","https://openalex.org/W3166225737","https://openalex.org/W3172942063","https://openalex.org/W4220855320","https://openalex.org/W4287121196","https://openalex.org/W4297775537","https://openalex.org/W4312691607","https://openalex.org/W6679667936","https://openalex.org/W6753710810","https://openalex.org/W6757119728","https://openalex.org/W6759236802","https://openalex.org/W6760069825","https://openalex.org/W6772166930","https://openalex.org/W6777505618","https://openalex.org/W6781206857","https://openalex.org/W6784594103"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W3102845713","https://openalex.org/W2971502891","https://openalex.org/W3205506801","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W2591697403","https://openalex.org/W4382323155","https://openalex.org/W2016508734","https://openalex.org/W4287067436"],"abstract_inverted_index":{"Filter":[0],"Decomposition":[1],"(FD)":[2],"methods":[3],"have":[4,21,38],"gained":[5],"traction":[6],"in":[7,109,123],"compressing":[8],"large":[9],"neural":[10],"networks":[11],"by":[12,27,62],"dividing":[13],"weights":[14],"into":[15],"basis":[16,30,44],"and":[17,100,117,126,151],"coefficients.":[18],"Recent":[19],"advancements":[20],"focused":[22],"on":[23,45],"reducing":[24],"weight":[25],"redundancy":[26],"sharing":[28,36,43],"either":[29],"or":[31],"coefficients":[32],"stage-wise.":[33],"However,":[34],"traditional":[35],"approaches":[37],"overlooked":[39],"the":[40,68,72,134],"potential":[41],"of":[42,74],"a":[46,78,106,146],"network-wide":[47],"scale.":[48],"In":[49],"this":[50],"study,":[51],"we":[52,76],"introduce":[53],"an":[54],"FD":[55],"technique":[56],"called":[57],"G-SharP":[58,119,139],"that":[59,93],"elevates":[60],"performance":[61],"using":[63],"globally":[64],"shared":[65],"kernels":[66],"throughout":[67],"network.":[69],"To":[70],"bolster":[71],"efficacy":[73],"G-SharP,":[75],"unveil":[77],"novel":[79],"batch":[80],"normalization-based":[81],"co-efficient":[82],"pruning":[83],"strategy":[84],"aiming":[85],"to":[86,133],"boost":[87],"computational":[88,98],"efficiency.":[89,152],"Comprehensive":[90],"evaluations":[91],"show":[92],"our":[94],"method":[95],"notably":[96],"diminishes":[97],"demands":[99],"model":[101,124],"size":[102],"while":[103],"incurring":[104],"only":[105],"slight":[107],"decline":[108],"performance.":[110],"On":[111],"benchmarks":[112],"like":[113],"CIFAR-10,":[114],"ImageNet,":[115],"PASCAL-VOC,":[116],"MS-COCO,":[118],"achieves":[120],"significant":[121],"reductions":[122],"dimensions":[125],"FLOPs":[127],"yet":[128],"maintains":[129],"accuracy":[130],"levels":[131],"akin":[132],"original":[135],"uncompressed":[136],"models.":[137],"Notably,":[138],"surpasses":[140],"numerous":[141],"leading":[142],"lightweight":[143],"models,":[144],"striking":[145],"commendable":[147],"balance":[148],"between":[149],"precision":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}