{"id":"https://openalex.org/W3015362971","doi":"https://doi.org/10.1109/icassp40776.2020.9054428","title":"MoGA: Searching Beyond Mobilenetv3","display_name":"MoGA: Searching Beyond Mobilenetv3","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015362971","doi":"https://doi.org/10.1109/icassp40776.2020.9054428","mag":"3015362971"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101512474","display_name":"Xiangxiang Chu","orcid":"https://orcid.org/0000-0003-2548-0605"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiangxiang Chu","raw_affiliation_strings":["Xiaomi AI Lab"],"affiliations":[{"raw_affiliation_string":"Xiaomi AI Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037683529","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0003-0564-617X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Xiaomi AI Lab"],"affiliations":[{"raw_affiliation_string":"Xiaomi AI Lab","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028438926","display_name":"Ruijun Xu","orcid":"https://orcid.org/0000-0002-1532-891X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruijun Xu","raw_affiliation_strings":["Xiaomi AI Lab"],"affiliations":[{"raw_affiliation_string":"Xiaomi AI Lab","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101512474"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8102,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.94629294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4042","last_page":"4046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.995199978351593,"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":0.785224974155426},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6417473554611206},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6114617586135864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5027036666870117},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4842354953289032},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43848085403442383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3957805633544922},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36802369356155396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32878637313842773},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.29068523645401},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1268140971660614},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11168897151947021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785224974155426},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6417473554611206},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6114617586135864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5027036666870117},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4842354953289032},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43848085403442383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3957805633544922},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36802369356155396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32878637313842773},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29068523645401},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1268140971660614},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11168897151947021},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2126105956","https://openalex.org/W2194775991","https://openalex.org/W2612445135","https://openalex.org/W2622263826","https://openalex.org/W2808938483","https://openalex.org/W2810075754","https://openalex.org/W2885820039","https://openalex.org/W2908108015","https://openalex.org/W2932077855","https://openalex.org/W2951104886","https://openalex.org/W2953604046","https://openalex.org/W2962861284","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963420686","https://openalex.org/W2963918968","https://openalex.org/W2964081807","https://openalex.org/W2964259004","https://openalex.org/W2967733054","https://openalex.org/W2982083293","https://openalex.org/W2994749257","https://openalex.org/W3030728803","https://openalex.org/W3096533519","https://openalex.org/W3129158555","https://openalex.org/W3203915045","https://openalex.org/W4234552385","https://openalex.org/W4297775537","https://openalex.org/W6674330103","https://openalex.org/W6737664043","https://openalex.org/W6739622702","https://openalex.org/W6743731764","https://openalex.org/W6752515464","https://openalex.org/W6753344092","https://openalex.org/W6756887525","https://openalex.org/W6758222532","https://openalex.org/W6761158446","https://openalex.org/W6761209512","https://openalex.org/W6765297142","https://openalex.org/W6767064347"],"related_works":["https://openalex.org/W2588198209","https://openalex.org/W1909006023","https://openalex.org/W4205824991","https://openalex.org/W3200723557","https://openalex.org/W2307385607","https://openalex.org/W4312713546","https://openalex.org/W2362195430","https://openalex.org/W2347494122","https://openalex.org/W2159099865","https://openalex.org/W2998256594"],"abstract_inverted_index":{"The":[0],"evolution":[1,124],"of":[2,42,105,132,149],"MobileNets":[3],"has":[4,54],"laid":[5],"a":[6,93,147],"solid":[7],"foundation":[8],"for":[9,84,134],"neural":[10,20,75],"network":[11,28,95],"applications":[12],"on":[13,38],"mobile":[14,34,94],"end.":[15],"With":[16,138],"the":[17,44,63,70,88,103,130,155],"latest":[18],"MobileNetV3,":[19],"architecture":[21,76],"search":[22,77],"again":[23],"claimed":[24],"its":[25],"supremacy":[26],"in":[27,50,66,78,97],"design.":[29],"Unfortunately,":[30],"till":[31],"today":[32],"all":[33],"methods":[35],"mainly":[36],"focus":[37],"CPU":[39],"latencies":[40],"instead":[41],"GPU,":[43],"latter,":[45],"however,":[46],"is":[47,115],"much":[48],"preferred":[49],"practice":[51],"because":[52],"it":[53],"faster":[55],"speed,":[56],"lower":[57],"overhead":[58],"and":[59],"less":[60],"interference.":[61],"Bearing":[62],"target":[64],"hardware":[65],"mind,":[67],"we":[68,127,145],"propose":[69],"first":[71],"Mobile":[72],"GPU-Aware":[73],"(MoGA)":[74],"order":[79],"to":[80,91],"be":[81],"precisely":[82],"tailored":[83],"real-world":[85],"applications.":[86],"Further,":[87],"ultimate":[89],"objective":[90],"devise":[92],"lies":[96],"achieving":[98],"better":[99],"performance":[100],"by":[101,122],"maximizing":[102],"utilization":[104],"bounded":[106],"resources.":[107],"Urging":[108],"higher":[109,135],"capability":[110],"while":[111],"restraining":[112],"time":[113],"consumption":[114],"not":[116],"reconcilable.":[117],"We":[118],"alleviate":[119],"this":[120],"tension":[121],"weighted":[123],"techniques.":[125],"Moreover,":[126],"encourage":[128],"increasing":[129],"number":[131],"parameters":[133],"representational":[136],"power.":[137],"200\u00d7":[139],"fewer":[140],"GPU":[141],"days":[142],"than":[143],"MnasNet,":[144],"obtain":[146],"series":[148],"models":[150],"that":[151],"outperform":[152],"MobileNetV3":[153],"under":[154],"similar":[156],"latency":[157],"constraints":[158],"<sup":[159],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[161],".":[162]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
