{"id":"https://openalex.org/W4392088190","doi":"https://doi.org/10.1145/3589334.3645538","title":"MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment","display_name":"MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4392088190","doi":"https://doi.org/10.1145/3589334.3645538"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.13525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024822157","display_name":"Hongtao Huang","orcid":"https://orcid.org/0009-0001-1239-1286"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongtao Huang","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","School of Computer Science and Engineering, University of New South Wales Kensington, NSW 2052, Australia"],"raw_orcid":"https://orcid.org/0009-0001-1239-1286","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales Kensington, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["Faculty of Engineering &amp; Information Technology, University of Technology Sydney, Sydeny, Australia","Faculty of Engineering & Information Technology, University of Technology Sydney Ultimo, NSW 2007, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7778-8807","affiliations":[{"raw_affiliation_string":"Faculty of Engineering &amp; Information Technology, University of Technology Sydney, Sydeny, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Faculty of Engineering & Information Technology, University of Technology Sydney Ultimo, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042014818","display_name":"Wen Hu","orcid":"https://orcid.org/0000-0002-4076-1811"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wen Hu","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","School of Computer Science and Engineering, University of New South Wales Kensington, NSW 2052, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4076-1811","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales Kensington, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["CSIRO's Data61 and University of New South Wales, Sydney, Australia","CSIRO's Data61 and University of New South Wales Eveleigh, NSW 2015, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4149-839X","affiliations":[{"raw_affiliation_string":"CSIRO's Data61 and University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I42894916"]},{"raw_affiliation_string":"CSIRO's Data61 and University of New South Wales Eveleigh, NSW 2015, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I31746571","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0200311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2965","last_page":"2975"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9955999851226807,"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/porting","display_name":"Porting","score":0.9513245820999146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7837233543395996},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7246977090835571},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6423242092132568},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6243724822998047},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6236891746520996},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6072547435760498},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5828326344490051},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5489084720611572},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5470741987228394},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.491458535194397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4665133059024811},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4521113932132721},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37315502762794495},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2664411664009094},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21911486983299255},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.15139180421829224}],"concepts":[{"id":"https://openalex.org/C106251023","wikidata":"https://www.wikidata.org/wiki/Q851989","display_name":"Porting","level":3,"score":0.9513245820999146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837233543395996},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7246977090835571},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6423242092132568},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6243724822998047},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6236891746520996},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6072547435760498},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5828326344490051},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5489084720611572},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5470741987228394},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.491458535194397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4665133059024811},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4521113932132721},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37315502762794495},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2664411664009094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21911486983299255},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.15139180421829224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3589334.3645538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.13525","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.13525","pdf_url":"https://arxiv.org/pdf/2402.13525","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.13525","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.13525","pdf_url":"https://arxiv.org/pdf/2402.13525","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392088190.pdf","grobid_xml":"https://content.openalex.org/works/W4392088190.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W618024573","https://openalex.org/W1975165783","https://openalex.org/W2037227137","https://openalex.org/W2108598243","https://openalex.org/W2138011018","https://openalex.org/W2982083293","https://openalex.org/W3133496440","https://openalex.org/W3168622113","https://openalex.org/W4367047170"],"related_works":["https://openalex.org/W2356602486","https://openalex.org/W2351992668","https://openalex.org/W2324828474","https://openalex.org/W2374315191","https://openalex.org/W2391207559","https://openalex.org/W2384715785","https://openalex.org/W2349624418","https://openalex.org/W2064459023","https://openalex.org/W2384611437","https://openalex.org/W2347873412"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"seen":[3],"the":[4,52,73,125],"explosion":[5],"of":[6,54,75],"edge":[7,42],"intelligence":[8],"with":[9,47],"powerful":[10,22],"Deep":[11],"Neural":[12],"Networks":[13],"(DNNs).":[14],"One":[15],"popular":[16],"scheme":[17,86],"is":[18],"training":[19],"DNNs":[20,39,89,129],"on":[21],"cloud":[23],"servers":[24],"and":[25,44,61,104,107,130],"subsequently":[26],"porting":[27,88],"them":[28,46],"to":[29,68,90],"mobile":[30,91],"devices":[31],"after":[32],"being":[33],"lightweight.":[34],"Conventional":[35],"approaches":[36,58],"manually":[37],"specialized":[38],"for":[40,87,111,114],"various":[41],"platforms":[43,55],"retrain":[45],"real-world":[48,65],"data.":[49],"However,":[50],"as":[51,120],"number":[53],"increases,":[56],"these":[57],"become":[59],"labour-intensive":[60],"computationally":[62],"prohibitive.":[63],"Additionally,":[64],"data":[66,106],"tends":[67],"be":[69],"sparse-label,":[70],"further":[71],"increasing":[72],"difficulty":[74],"lightweight":[76],"models.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,94],"propose":[82],"MatchNAS,":[83],"a":[84,97],"novel":[85],"devices.":[92],"Specifically,":[93],"simultaneously":[95],"optimise":[96],"large":[98],"network":[99],"family":[100],"using":[101],"both":[102],"labelled":[103],"unlabelled":[105],"then":[108],"automatically":[109],"search":[110],"tailored":[112],"networks":[113],"different":[115],"hardware":[116],"platforms.":[117],"MatchNAS":[118],"acts":[119],"an":[121],"intermediary":[122],"that":[123],"bridges":[124],"gap":[126],"between":[127],"cloud-based":[128],"edge-based":[131],"DNNs.":[132]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
