{"id":"https://openalex.org/W3089812288","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207413","title":"EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search","display_name":"EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089812288","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207413","mag":"3089812288"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5110476655","display_name":"Yong Yuan","orcid":"https://orcid.org/0000-0001-8310-2712"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Yuan","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418568","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-3957-7061"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016446416","display_name":"Xiyuan Hu","orcid":"https://orcid.org/0000-0002-7095-6986"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Hu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043440896","display_name":"Silong Peng","orcid":"https://orcid.org/0000-0002-3594-5843"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silong Peng","raw_affiliation_strings":["Beijing Visystem Co. Ltd","Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Beijing Visystem Co. Ltd","institution_ids":[]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110476655"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.8563,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88010015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7872958183288574},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7732847332954407},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5782628059387207},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4864346981048584},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4718634784221649},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.43112218379974365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3551740050315857},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35438400506973267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28843989968299866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872958183288574},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7732847332954407},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5782628059387207},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4864346981048584},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4718634784221649},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.43112218379974365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3551740050315857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35438400506973267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28843989968299866},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1841592590","https://openalex.org/W1902934009","https://openalex.org/W2119144962","https://openalex.org/W2167215970","https://openalex.org/W2267635276","https://openalex.org/W2279098554","https://openalex.org/W2286365479","https://openalex.org/W2300242332","https://openalex.org/W2469490737","https://openalex.org/W2553303224","https://openalex.org/W2783538964","https://openalex.org/W2787884921","https://openalex.org/W2810075754","https://openalex.org/W2883780447","https://openalex.org/W2886851211","https://openalex.org/W2894568827","https://openalex.org/W2899771611","https://openalex.org/W2901508112","https://openalex.org/W2903260438","https://openalex.org/W2912168260","https://openalex.org/W2915478146","https://openalex.org/W2944878710","https://openalex.org/W2949941638","https://openalex.org/W2950248853","https://openalex.org/W2951104886","https://openalex.org/W2963114950","https://openalex.org/W2963163009","https://openalex.org/W2963273111","https://openalex.org/W2963374099","https://openalex.org/W2964264300","https://openalex.org/W2964299589","https://openalex.org/W2965658867","https://openalex.org/W2970102825","https://openalex.org/W2970601456","https://openalex.org/W2982479999","https://openalex.org/W2998218113","https://openalex.org/W3106250896","https://openalex.org/W3143293593","https://openalex.org/W4295262505","https://openalex.org/W6638523607","https://openalex.org/W6638783484","https://openalex.org/W6639703010","https://openalex.org/W6677580257","https://openalex.org/W6684563725","https://openalex.org/W6693397755","https://openalex.org/W6695314431","https://openalex.org/W6696004547","https://openalex.org/W6698200048","https://openalex.org/W6720242923","https://openalex.org/W6729956949","https://openalex.org/W6746370421","https://openalex.org/W6752515464","https://openalex.org/W6753490951","https://openalex.org/W6753767121","https://openalex.org/W6756040250","https://openalex.org/W6756979132","https://openalex.org/W6757149818","https://openalex.org/W6758625146","https://openalex.org/W6759144272","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2579473328","https://openalex.org/W2509147714","https://openalex.org/W4239898203","https://openalex.org/W46955353","https://openalex.org/W2315021981","https://openalex.org/W4293226380","https://openalex.org/W2955295882","https://openalex.org/W2145869671","https://openalex.org/W4386245174","https://openalex.org/W4200132709"],"abstract_inverted_index":{"Network":[0],"quantization":[1,71,105,115,135,160,211],"can":[2,76,118,201],"effectively":[3],"reduce":[4],"computation":[5,83],"and":[6,36,90,107,140,155,186,194,206],"memory":[7],"costs":[8],"without":[9,81],"modifying":[10],"network":[11],"structures,":[12],"facilitating":[13],"the":[14,27,39,78,86,100,104,108,112,120,129,134,142,146,153,159,163,169,203,208,214],"deployment":[15],"of":[16,26,88,114,137,158,180,216],"deep":[17],"neural":[18],"networks":[19],"(DNNs)":[20],"on":[21,176,188,196],"edge":[22],"devices.":[23],"However,":[24],"most":[25],"existing":[28,209],"methods":[29],"usually":[30],"need":[31],"time-consuming":[32],"training":[33,41],"or":[34,50],"fine-tuning":[35],"access":[37],"to":[38,48,67,98,144,167],"original":[40],"dataset":[42],"that":[43,63],"may":[44],"be":[45],"unavailable":[46],"due":[47],"privacy":[49],"security":[51],"concerns.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,94,132,151],"introduce":[57],"a":[58,177],"novel":[59],"method":[60,200],"named":[61],"EvoQ":[62],"employs":[64],"evolutionary":[65],"search":[66,92,130],"achieve":[68],"mixed":[69],"precision":[70],"with":[72],"limited":[73],"data,":[74],"which":[75,117],"optimize":[77,145],"resource":[79],"allocation":[80],"adding":[82],"consumption.":[84],"Considering":[85],"shortage":[87],"samples":[89,97,166],"expensive":[91],"costs,":[93],"use":[95],"50":[96,165],"measure":[99],"output":[101],"difference":[102],"between":[103],"model":[106,110,161],"pre-trained":[109],"for":[111],"evaluation":[113],"policy,":[116],"save":[119],"time":[121],"obviously":[122],"while":[123],"maintaining":[124],"high":[125],"accuracy.":[126],"To":[127],"improve":[128,168,202],"efficiency,":[131],"analyze":[133],"sensitivity":[136],"each":[138],"layer":[139],"utilize":[141],"results":[143],"mutation":[147],"operation.":[148],"At":[149],"last,":[150],"calibrate":[152],"outputs":[154],"intermediate":[156],"features":[157],"using":[162],"selected":[164],"performance":[170,204],"further.":[171],"We":[172],"implement":[173],"extensive":[174],"experiments":[175],"diverse":[178],"set":[179],"models,":[181],"including":[182],"ResNet18/50/101,":[183],"SqueezeNet,":[184],"ShuffleNetV2,":[185],"MobileNetV2":[187],"ImageNet,":[189],"as":[190,192],"well":[191],"SSD-VGG":[193],"SSD-ResNet50":[195],"PASCAL":[197],"VOC.":[198],"Our":[199],"apparently":[205],"outperforms":[207],"post-training":[210],"methods,":[212],"demonstrating":[213],"effectiveness":[215],"EvoQ.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
