{"id":"https://openalex.org/W4403351027","doi":"https://doi.org/10.1145/3695080.3695143","title":"AutoRank: Tensor decomposition for Automatic Neural Network compress","display_name":"AutoRank: Tensor decomposition for Automatic Neural Network compress","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4403351027","doi":"https://doi.org/10.1145/3695080.3695143"},"language":"en","primary_location":{"id":"doi:10.1145/3695080.3695143","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-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/A5100396959","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-7971-2646"},"institutions":[{"id":"https://openalex.org/I4210112761","display_name":"Kunming Metallurgical Research Institute","ror":"https://ror.org/01kfnjv17","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Kunming Metallurgical College, China"],"affiliations":[{"raw_affiliation_string":"Kunming Metallurgical College, China","institution_ids":["https://openalex.org/I4210112761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109464742","display_name":"Wenxi Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenxi Lu","raw_affiliation_strings":["Yuxi Meteorological Bureau, China"],"affiliations":[{"raw_affiliation_string":"Yuxi Meteorological Bureau, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060392276","display_name":"Pengwei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwei Zhang","raw_affiliation_strings":["Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049331486","display_name":"Zhiyi Long","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyi Long","raw_affiliation_strings":["Yunnan University, Kuwait"],"affiliations":[{"raw_affiliation_string":"Yunnan University, Kuwait","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109821480","display_name":"Yunfeng Duo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112761","display_name":"Kunming Metallurgical Research Institute","ror":"https://ror.org/01kfnjv17","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Duo","raw_affiliation_strings":["Kunming Metallurgical College, China"],"affiliations":[{"raw_affiliation_string":"Kunming Metallurgical College, China","institution_ids":["https://openalex.org/I4210112761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100396959"],"corresponding_institution_ids":["https://openalex.org/I4210112761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16647264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"363","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6656703948974609},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6597074866294861},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5524770021438599},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5367324352264404},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.43879246711730957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.394631028175354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1518946886062622},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07124525308609009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6656703948974609},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6597074866294861},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5524770021438599},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5367324352264404},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.43879246711730957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.394631028175354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1518946886062622},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07124525308609009},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3695080.3695143","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695080.3695143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Cloud Computing and Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2079705627","https://openalex.org/W2163605009","https://openalex.org/W2580834719","https://openalex.org/W2887043285","https://openalex.org/W2902251695","https://openalex.org/W2967733054","https://openalex.org/W2980137827","https://openalex.org/W2984618279","https://openalex.org/W3087257704","https://openalex.org/W4287670594","https://openalex.org/W4301409532","https://openalex.org/W4379740500","https://openalex.org/W4386047745","https://openalex.org/W4386075758","https://openalex.org/W6600195515","https://openalex.org/W6755509158","https://openalex.org/W6756944905","https://openalex.org/W6757589796","https://openalex.org/W6760780936","https://openalex.org/W6762585180"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,26,98,125],"networks":[2,27],"(CNNs)":[3,28],"have":[4,15],"been":[5],"employed":[6],"in":[7],"a":[8,30,40,82,95],"multitude":[9],"of":[10,24,33,111,124,142],"applications,":[11],"yielding":[12],"results":[13,138],"that":[14],"gained":[16],"international":[17],"recognition.":[18],"Nevertheless,":[19],"the":[20,58,73,102,112,122,133,140,147,155],"training":[21],"and":[22,35,106,149,158],"inference":[23],"convolutional":[25,97],"require":[29],"significant":[31],"amount":[32],"memory":[34,157],"computational":[36],"resources,":[37],"which":[38,152],"present":[39],"challenge":[41],"for":[42],"their":[43],"deployment":[44],"on":[45,146],"hardware":[46],"with":[47],"limited":[48],"resources.":[49],"Although":[50],"it":[51,68,108],"is":[52,65,69,128],"an":[53],"effective":[54],"method":[55,87,92,145],"to":[56,71,88,100,115,120,131],"compress":[57,89,121],"parameterized":[59],"CNN,":[60],"applying":[61],"tensor":[62,75,85,118],"compression":[63],"directly":[64],"challenging":[66],"because":[67],"difficult":[70],"choose":[72],"proper":[74],"rank.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"proposed":[81,144],"novel":[83],"automatic":[84],"decomposition":[86],"CNN.":[90],"Our":[91],"first":[93],"trains":[94],"complete":[96],"network":[99,134],"obtain":[101],"trained":[103],"weight":[104],"parameters,":[105],"then":[107],"takes":[109],"advantage":[110],"genetic":[113],"algorithm":[114],"automatically":[116],"search":[117],"ranks":[119],"parameters":[123],"networks.":[126],"Fine-tuning":[127],"also":[129],"used":[130],"optimize":[132],"performance.":[135],"Extensive":[136],"experimental":[137],"demonstrate":[139],"effectiveness":[141],"our":[143],"Alexnet":[148],"Vgg11_bn":[150],"network,":[151],"significantly":[153],"reduces":[154],"GPU":[156],"power":[159],"consumption.":[160]},"counts_by_year":[],"updated_date":"2026-03-06T06:45:51.903784","created_date":"2025-10-10T00:00:00"}
