{"id":"https://openalex.org/W7125805186","doi":"https://doi.org/10.1145/3779153.3779176","title":"DARTS-PruneNet: A Two-Stage Neural Network Pruning and Architecture Reconstruction Strategy","display_name":"DARTS-PruneNet: A Two-Stage Neural Network Pruning and Architecture Reconstruction Strategy","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W7125805186","doi":"https://doi.org/10.1145/3779153.3779176"},"language":null,"primary_location":{"id":"doi:10.1145/3779153.3779176","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779176","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3779153.3779176","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124003788","display_name":"Fuyuan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuyuan Luo","raw_affiliation_strings":["School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, Chongqing, China","institution_ids":["https://openalex.org/I145581781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123934467","display_name":"Chaoping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoping Zhu","raw_affiliation_strings":["School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, Chongqing, China","institution_ids":["https://openalex.org/I145581781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123999873","display_name":"Zhen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, Chongqing, China","institution_ids":["https://openalex.org/I145581781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124003788"],"corresponding_institution_ids":["https://openalex.org/I145581781"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7120989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9375,"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":0.9375,"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":0.01140000019222498,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0044999998062849045,"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":0.9225000143051147},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6412000060081482},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5770999789237976},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5561000108718872},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5020999908447266},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3725999891757965}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.9225000143051147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433000206947327},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6412000060081482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5940999984741211},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5561000108718872},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4706999957561493},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3725999891757965},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.32899999618530273},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2581999897956848},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3779153.3779176","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779176","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3779153.3779176","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3779153.3779176","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 9th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2276892413","https://openalex.org/W2989569745","https://openalex.org/W4312559913","https://openalex.org/W4402660142","https://openalex.org/W4402727041","https://openalex.org/W4402753755","https://openalex.org/W4402753996","https://openalex.org/W4402754154"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"excel":[4],"in":[5],"computer":[6],"vision":[7],"but":[8,30],"struggle":[9],"on":[10,110,128],"resource-constrained":[11],"edge":[12,150],"devices":[13],"due":[14],"to":[15,33,71,82],"high":[16,115],"computational":[17],"and":[18,68,77,101,112,139],"memory":[19],"demands.":[20],"Network":[21],"pruning":[22,38,58,73,99,108,140],"reduces":[23],"model":[24],"size":[25],"by":[26],"removing":[27],"redundant":[28],"weights":[29],"can":[31,141],"lead":[32],"significant":[34],"accuracy":[35,116,127],"loss":[36],"when":[37],"80-99%":[39],"of":[40,146],"weights.":[41],"Traditional":[42],"DNN":[43],"architectures":[44],"are":[45],"suboptimal":[46],"for":[47,84,149],"extreme":[48],"pruning.":[49,131],"We":[50],"propose":[51],"a":[52,89],"DARTS-based":[53],"approach":[54,105],"that":[55,94,135],"integrates":[56],"network":[57,97],"into":[59],"the":[60,75,79,144],"architecture":[61,91,102],"search":[62,76,92],"process.":[63],"Our":[64,104],"method":[65],"introduces":[66],"PrunedConv":[67],"PrunedLinear":[69],"operations":[70],"simulate":[72],"during":[74],"modifies":[78],"NAS":[80],"objective":[81],"account":[83],"sparsity.":[85],"The":[86],"result":[87],"is":[88],"pruning-aware":[90],"framework":[93],"jointly":[95],"optimizes":[96],"weights,":[98],"masks,":[100],"parameters.":[103,120],"outperforms":[106],"state-of-the-art":[107],"methods":[109],"CIFAR-10":[111],"ImageNet,":[113],"achieving":[114],"with":[117],"significantly":[118],"fewer":[119],"For":[121],"instance,":[122],"ResNet18":[123],"achieves":[124],"70.55%":[125],"Top-1":[126],"ImageNet":[129],"after":[130],"These":[132],"results":[133],"demonstrate":[134],"joint":[136],"backbone":[137],"reconstruction":[138],"greatly":[142],"enhance":[143],"efficiency":[145],"deep":[147],"networks":[148],"devices.":[151]},"counts_by_year":[],"updated_date":"2026-01-28T23:18:48.515280","created_date":"2026-01-28T00:00:00"}