{"id":"https://openalex.org/W3129614280","doi":"https://doi.org/10.1109/tits.2021.3056426","title":"Compiler-Based Efficient CNN Model Construction for 5G Edge Devices","display_name":"Compiler-Based Efficient CNN Model Construction for 5G Edge Devices","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3129614280","doi":"https://doi.org/10.1109/tits.2021.3056426","mag":"3129614280"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3056426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3056426","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5087959517","display_name":"Kun Wan","orcid":"https://orcid.org/0009-0005-2133-3474"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kun Wan","raw_affiliation_strings":["University of California at Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442739","display_name":"Xiaolei Liu","orcid":"https://orcid.org/0000-0001-8510-4025"},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolei Liu","raw_affiliation_strings":["Institute of Computer Application, China Academy of Engineering Physics, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Application, China Academy of Engineering Physics, Mianyang, China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101948611","display_name":"Jianyu Yu","orcid":"https://orcid.org/0000-0002-1215-9882"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianyu Yu","raw_affiliation_strings":["University of California at Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California at Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780268","display_name":"Xiaosong Zhang","orcid":"https://orcid.org/0000-0001-9886-1412"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Zhang","raw_affiliation_strings":["Cyberspace Security Research Center, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Security Research Center, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060514022","display_name":"Xiaojiang Du","orcid":"https://orcid.org/0000-0003-4235-9671"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojiang Du","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029714594","display_name":"Nadra Guizani","orcid":"https://orcid.org/0000-0001-5332-2685"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nadra Guizani","raw_affiliation_strings":["School of Electrical Engineering & Computer Science, Washington State University, Pullman, WA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087959517"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":1.0027,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74755673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"8","first_page":"5261","last_page":"5274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9943000078201294,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9941999912261963,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8085557222366333},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.7058168649673462},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6338703036308289},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5979080200195312},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.540871262550354},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5230987071990967},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5169689059257507},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5040232539176941},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.49143779277801514},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.41375240683555603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3263343274593353},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13355189561843872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8085557222366333},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.7058168649673462},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6338703036308289},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5979080200195312},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.540871262550354},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5230987071990967},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5169689059257507},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5040232539176941},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.49143779277801514},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.41375240683555603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3263343274593353},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13355189561843872},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2021.3056426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3056426","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1700739897","display_name":null,"funder_award_id":"PY20210160","funder_id":"https://openalex.org/F4320321536","funder_display_name":"China Academy of Engineering Physics"}],"funders":[{"id":"https://openalex.org/F4320321536","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":111,"referenced_works":["https://openalex.org/W1549358575","https://openalex.org/W1650736245","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1798945469","https://openalex.org/W1799366690","https://openalex.org/W1836465849","https://openalex.org/W1902934009","https://openalex.org/W1935978687","https://openalex.org/W1996901117","https://openalex.org/W2056738732","https://openalex.org/W2108598243","https://openalex.org/W2114766824","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2131524184","https://openalex.org/W2161758346","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2279057335","https://openalex.org/W2300242332","https://openalex.org/W2302255633","https://openalex.org/W2319920447","https://openalex.org/W2469490737","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2550815077","https://openalex.org/W2559813832","https://openalex.org/W2574441566","https://openalex.org/W2581531918","https://openalex.org/W2593245696","https://openalex.org/W2605135468","https://openalex.org/W2612445135","https://openalex.org/W2617766261","https://openalex.org/W2618530766","https://openalex.org/W2701971652","https://openalex.org/W2707890836","https://openalex.org/W2739789140","https://openalex.org/W2759777444","https://openalex.org/W2763421725","https://openalex.org/W2767827820","https://openalex.org/W2786951478","https://openalex.org/W2787513570","https://openalex.org/W2809107162","https://openalex.org/W2949117887","https://openalex.org/W2950248853","https://openalex.org/W2950967261","https://openalex.org/W2962851801","https://openalex.org/W2962939807","https://openalex.org/W2962965870","https://openalex.org/W2962988160","https://openalex.org/W2963000224","https://openalex.org/W2963048316","https://openalex.org/W2963114950","https://openalex.org/W2963125010","https://openalex.org/W2963200642","https://openalex.org/W2963318827","https://openalex.org/W2963363373","https://openalex.org/W2963446712","https://openalex.org/W2963616439","https://openalex.org/W2963674932","https://openalex.org/W2963704562","https://openalex.org/W2964004663","https://openalex.org/W2964061570","https://openalex.org/W2964152344","https://openalex.org/W2964164125","https://openalex.org/W2964228333","https://openalex.org/W2964233199","https://openalex.org/W2964259004","https://openalex.org/W2964299589","https://openalex.org/W4297775537","https://openalex.org/W4297781745","https://openalex.org/W6632978964","https://openalex.org/W6637078681","https://openalex.org/W6637373629","https://openalex.org/W6638060716","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6639703010","https://openalex.org/W6640289440","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6679667936","https://openalex.org/W6684089856","https://openalex.org/W6684191040","https://openalex.org/W6684563725","https://openalex.org/W6685627644","https://openalex.org/W6698183232","https://openalex.org/W6700264148","https://openalex.org/W6720242923","https://openalex.org/W6725543821","https://openalex.org/W6725739302","https://openalex.org/W6726275242","https://openalex.org/W6728184133","https://openalex.org/W6729256011","https://openalex.org/W6730093588","https://openalex.org/W6734062232","https://openalex.org/W6737664043","https://openalex.org/W6738460352","https://openalex.org/W6739917289","https://openalex.org/W6740114376","https://openalex.org/W6740474667","https://openalex.org/W6741042017","https://openalex.org/W6741553980","https://openalex.org/W6745245109","https://openalex.org/W6745670897","https://openalex.org/W6748131973","https://openalex.org/W6748319235","https://openalex.org/W6756887525"],"related_works":["https://openalex.org/W2125855853","https://openalex.org/W4245652312","https://openalex.org/W4282568311","https://openalex.org/W4313484792","https://openalex.org/W2951473296","https://openalex.org/W2883928845","https://openalex.org/W4288420200","https://openalex.org/W4285346947","https://openalex.org/W4365793791","https://openalex.org/W3145095675"],"abstract_inverted_index":{"With":[0],"the":[1,29,34,38,69,85,97,106,110,121,131,142,151,157,161,166,171,182,186,200,219,222,235,243],"increasing":[2],"demand":[3],"to":[4,104,139,148,180],"deploy":[5],"convolutional":[6],"neural":[7,41],"networks":[8,212],"(CNNs)":[9],"on":[10,74,120,130,145],"5G":[11],"mobile":[12],"platforms,":[13],"architecture":[14],"designs":[15,43,123,144,203],"with":[16,44],"efficient":[17],"sparse":[18,201],"kernels":[19],"(SKs)":[20],"were":[21],"proposed,":[22],"which":[23],"can":[24,209,232],"save":[25],"more":[26],"parameters":[27,154],"than":[28],"standard":[30],"convolution":[31],"while":[32],"maintaining":[33],"high":[35],"accuracy.":[36,158],"Despite":[37],"great":[39],"potential,":[40],"network":[42],"SKs":[45],"still":[46],"require":[47],"a":[48,63,116,135,177],"lot":[49],"of":[50,153,189,199,218,240],"expert":[51,167],"knowledge":[52,168],"and":[53,79,102,165,221],"take":[54],"ample":[55],"time.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,82,114,133,175,231],"first":[61],"propose":[62,134],"search":[64,90,207],"scheme":[65,138,208,230],"that":[66,196],"effectively":[67],"reduces":[68],"SK":[70,143],"design":[71],"space":[72],"based":[73,129],"three":[75],"aspects:":[76],"composition,":[77],"performance,":[78],"efficiency.":[80,223],"Meanwhile,":[81],"completely":[83],"eliminate":[84],"model":[86,107,136,172,228],"training":[87],"from":[88],"our":[89,126,206,227],"scheme.":[91,127],"Instead,":[92],"an":[93,190],"easily":[94,233],"measurable":[95],"quantity,":[96],"information":[98],"field,":[99],"is":[100],"identified":[101],"used":[103],"predict":[105],"accuracy":[108,220,236],"in":[109,216],"searching":[111],"process.":[112],"Additionally,":[113],"provide":[115],"detailed":[117],"efficiency":[118,244],"analysis":[119,132],"final":[122],"found":[124],"by":[125,170,205,225],"Second,":[128],"transformation":[137,173,229],"better":[140],"utilize":[141],"existing":[146,191,249],"models":[147,197],"either":[149],"reduce":[150],"number":[152,239],"or":[155,242],"increase":[156],"Last,":[159],"considering":[160],"extra":[162],"programming":[163],"overhead":[164],"required":[169],"scheme,":[174],"develop":[176],"compiler":[178],"prototype":[179],"automate":[181],"entire":[183],"process,":[184],"given":[185],"source":[187],"code":[188],"model.":[192],"Experimental":[193],"results":[194],"show":[195],"composed":[198],"kernel":[202],"searched":[204],"beat":[210],"state-of-the-art":[211,250],"such":[213],"as":[214],"ResNets":[215],"terms":[217],"Also":[224],"using":[226],"improve":[234],"(the":[237,245],"same":[238,246],"parameters)":[241],"accuracy)":[247],"upon":[248],"models.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}