{"id":"https://openalex.org/W3034616305","doi":"https://doi.org/10.1109/icme46284.2020.9102721","title":"Hardware-Aware Transformable Architecture Search with Efficient Search Space","display_name":"Hardware-Aware Transformable Architecture Search with Efficient Search Space","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034616305","doi":"https://doi.org/10.1109/icme46284.2020.9102721","mag":"3034616305"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","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/A5032664588","display_name":"Yuhang Jiang","orcid":"https://orcid.org/0000-0002-4069-7266"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Yuhang Jiang","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022927606","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-0351-2939"},"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":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339293","display_name":"Wenwu Zhu","orcid":"https://orcid.org/0000-0003-2236-9290"},"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"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Zhu","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032664588"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7816,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73865699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9962999820709229,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9947999715805054,"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":0.7789938449859619},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.7164530754089355},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6233497858047485},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6224250197410583},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.49875926971435547},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.47577038407325745},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46514618396759033},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.41988512873649597},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38214999437332153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31833571195602417},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2239026129245758},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1349494755268097},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0808592438697815},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07475277781486511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789938449859619},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.7164530754089355},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6233497858047485},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6224250197410583},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.49875926971435547},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.47577038407325745},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46514618396759033},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.41988512873649597},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38214999437332153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31833571195602417},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2239026129245758},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1349494755268097},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0808592438697815},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07475277781486511},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","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":34,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2194775991","https://openalex.org/W2553303224","https://openalex.org/W2810075754","https://openalex.org/W2886851211","https://openalex.org/W2905741102","https://openalex.org/W2928560789","https://openalex.org/W2932077855","https://openalex.org/W2945403477","https://openalex.org/W2951104886","https://openalex.org/W2962746461","https://openalex.org/W2962851801","https://openalex.org/W2962861284","https://openalex.org/W2962965870","https://openalex.org/W2963374479","https://openalex.org/W2963766446","https://openalex.org/W2963918968","https://openalex.org/W2964217527","https://openalex.org/W2964233199","https://openalex.org/W2964259004","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2970790493","https://openalex.org/W3096533519","https://openalex.org/W4300687381","https://openalex.org/W6638523607","https://openalex.org/W6726275242","https://openalex.org/W6729956949","https://openalex.org/W6748057086","https://openalex.org/W6752515464","https://openalex.org/W6756887525","https://openalex.org/W6757036269","https://openalex.org/W6761158446","https://openalex.org/W6762610423"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W3102845713","https://openalex.org/W2971502891","https://openalex.org/W3205506801","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W4382323155","https://openalex.org/W2016508734","https://openalex.org/W4224939635","https://openalex.org/W4292794827"],"abstract_inverted_index":{"While":[0],"Neural":[1],"Architecture":[2,11],"Search":[3,12],"(NAS)":[4],"discovers":[5],"the":[6,18,29,38,44,49,57,61,65,70,82,86,92,106,129,141,146],"optimal":[7,107],"topology":[8],"structure,":[9],"Transformable":[10],"(TAS)":[13],"aims":[14],"to":[15,28,47,85,104,132],"search":[16,31,58,66,83,101,121,130],"for":[17,91,109,128],"best":[19,87],"width":[20],"and":[21],"depth,":[22],"which":[23,123],"is":[24,35,117],"more":[25],"challenging":[26],"due":[27],"larger":[30],"space.":[32],"Since":[33],"FLOPs":[34],"inconsistent":[36],"with":[37],"actual":[39,71],"latency,":[40],"hardware-aware":[41,78,98,120],"TAS":[42,79],"uses":[43],"inference":[45],"latency":[46],"evaluate":[48],"efficiency.":[50,72],"However,":[51],"most":[52],"existing":[53],"work":[54],"focuses":[55],"on":[56,137],"strategy,":[59],"ignoring":[60],"critical":[62],"role":[63],"of":[64,88,114,143],"space":[67],"in":[68],"affecting":[69],"Motivated":[73],"by":[74,80],"it,":[75],"we":[76],"study":[77],"considering":[81],"space,":[84,122],"our":[89,115],"knowledge,":[90],"first":[93],"time.":[94],"We":[95],"propose":[96],"a":[97,118],"transformable":[99],"architecture":[100,108],"(HTAS)":[102],"framework":[103],"discover":[105],"different":[110],"hardware.":[111],"The":[112],"core":[113],"method":[116],"novel":[119],"provides":[124],"efficient":[125,134],"channel":[126],"choices":[127],"strategy":[131],"sample":[133],"architectures.":[135],"Experiments":[136],"CIFAR":[138],"datasets":[139],"demonstrate":[140],"superiority":[142],"HTAS":[144],"over":[145],"state-of-the-art":[147],"method.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
