{"id":"https://openalex.org/W2964472257","doi":"https://doi.org/10.1109/aicas.2019.8771498","title":"Exploration of Automatic Mixed-Precision Search for Deep Neural Networks","display_name":"Exploration of Automatic Mixed-Precision Search for Deep Neural Networks","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2964472257","doi":"https://doi.org/10.1109/aicas.2019.8771498","mag":"2964472257"},"language":"en","primary_location":{"id":"doi:10.1109/aicas.2019.8771498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas.2019.8771498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5022353450","display_name":"Xuyang Guo","orcid":"https://orcid.org/0000-0001-5663-7957"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuyang Guo","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911937","display_name":"Yuanjun Huang","orcid":"https://orcid.org/0000-0003-4922-4163"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjun Huang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103877341","display_name":"Hsin-Pai Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hsin-pai Cheng","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451327","display_name":"Bing Li","orcid":"https://orcid.org/0000-0003-4987-6129"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004435121","display_name":"Wei Wen","orcid":"https://orcid.org/0000-0002-4780-7018"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wen","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031552866","display_name":"Siyuan Ma","orcid":"https://orcid.org/0000-0002-0323-7228"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Ma","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University","Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429377","display_name":"Hai Li","orcid":"https://orcid.org/0000-0001-8504-5811"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Li","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5022353450"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59893936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9973000288009644,"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/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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/quantization","display_name":"Quantization (signal processing)","score":0.8164656758308411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480709552764893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6009759902954102},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5717474222183228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5431063175201416},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5091535449028015},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.4229845404624939},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3281782269477844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3074776232242584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13870561122894287},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08338174223899841}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8164656758308411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480709552764893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6009759902954102},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5717474222183228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5431063175201416},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5091535449028015},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.4229845404624939},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3281782269477844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3074776232242584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13870561122894287},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08338174223899841}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas.2019.8771498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas.2019.8771498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2584314014","https://openalex.org/W2612445135","https://openalex.org/W2810075754","https://openalex.org/W2892684141","https://openalex.org/W2951104886","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6700264148","https://openalex.org/W6732645701","https://openalex.org/W6737664043","https://openalex.org/W6752515464","https://openalex.org/W6754992056"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2120056071","https://openalex.org/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146","https://openalex.org/W4280610722","https://openalex.org/W3185228140"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"have":[2],"shown":[3],"great":[4],"performance":[5],"in":[6,42,55,81],"cognitive":[7],"tasks.":[8],"When":[9],"deploying":[10],"network":[11],"models":[12,54],"on":[13,61],"mobile":[14],"devices":[15],"with":[16],"limited":[17],"computation":[18],"and":[19],"storage":[20],"resources,":[21],"the":[22,46,49,53,62,67,71,87,93,111,115,136,141,144,149,154],"weight":[23],"quantization":[24,35,119,132],"technique":[25],"has":[26],"been":[27],"widely":[28],"adopted.":[29],"In":[30,100],"practice,":[31],"8-bit":[32],"or":[33],"16-bit":[34],"is":[36,98],"mostly":[37],"likely":[38],"to":[39,44,65,109,123,140,153],"be":[40],"selected":[41],"order":[43],"maintain":[45],"accuracy":[47,76,151],"at":[48,70],"same":[50],"level":[51],"as":[52],"32-bit":[56],"floating-point":[57],"precision.":[58],"Binary":[59],"quantization,":[60],"contrary,":[63],"aims":[64],"obtain":[66],"highest":[68],"compression":[69,137],"cost":[72],"of":[73,118],"much":[74],"bigger":[75],"drop.":[77],"Applying":[78],"different":[79,82],"precision":[80,95],"layers/structures":[83],"can":[84,128],"potentially":[85],"produce":[86],"most":[88],"efficient":[89],"model.":[90,157],"Seeking":[91],"for":[92],"best":[94],"configuration,":[96],"however,":[97],"difficult.":[99],"this":[101],"work,":[102],"we":[103],"proposed":[104],"an":[105],"automatic":[106],"search":[107,116],"algorithm":[108,127],"address":[110],"challenge.":[112],"By":[113],"relaxing":[114],"space":[117],"bitwidth":[120],"from":[121,143],"discrete":[122],"continuous":[124],"domain,":[125],"our":[126],"generate":[129],"a":[130],"mixed-precision":[131],"scheme":[133],"which":[134],"achieves":[135],"rate":[138],"close":[139],"one":[142],"binary-weighted":[145],"model":[146],"while":[147],"maintaining":[148],"testing":[150],"similar":[152],"original":[155],"full-precision":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
