{"id":"https://openalex.org/W4396782873","doi":"https://doi.org/10.1109/tcsvt.2024.3398691","title":"Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search","display_name":"Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search","publication_year":2024,"publication_date":"2024-05-09","ids":{"openalex":"https://openalex.org/W4396782873","doi":"https://doi.org/10.1109/tcsvt.2024.3398691"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3398691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3398691","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5108945887","display_name":"Menghao Tan","orcid":"https://orcid.org/0009-0007-6778-2747"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Menghao Tan","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047167952","display_name":"Weifeng Gao","orcid":"https://orcid.org/0000-0003-3853-0771"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Gao","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596539","display_name":"Hong Li","orcid":"https://orcid.org/0000-0001-8709-5839"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Li","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056456094","display_name":"Jin Xie","orcid":"https://orcid.org/0000-0001-8007-5683"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xie","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, International Research Center for Intelligent Perception and Computation, Ministry of Education, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, International Research Center for Intelligent Perception and Computation, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108945887"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.2733,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9270633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"34","issue":"10","first_page":"9153","last_page":"9165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9049999713897705,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9049999713897705,"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":0.6186227202415466},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.56989985704422},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.49609073996543884},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.45300403237342834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42777299880981445},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3747105002403259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3012998104095459},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1858328878879547},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.0995563268661499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186227202415466},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.56989985704422},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.49609073996543884},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.45300403237342834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42777299880981445},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3747105002403259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3012998104095459},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1858328878879547},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0995563268661499}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3398691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3398691","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1917244243","display_name":null,"funder_award_id":"62276202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5966497531","display_name":null,"funder_award_id":"62106186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1996901117","https://openalex.org/W2068590323","https://openalex.org/W2108598243","https://openalex.org/W2147940346","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2469490737","https://openalex.org/W2553303224","https://openalex.org/W2554592357","https://openalex.org/W2622826443","https://openalex.org/W2746314669","https://openalex.org/W2794284562","https://openalex.org/W2798275680","https://openalex.org/W2806956262","https://openalex.org/W2809624076","https://openalex.org/W2887447938","https://openalex.org/W2908314593","https://openalex.org/W2912839047","https://openalex.org/W2944578243","https://openalex.org/W2951104886","https://openalex.org/W2952797486","https://openalex.org/W2962847160","https://openalex.org/W2962851801","https://openalex.org/W2963263347","https://openalex.org/W2963448345","https://openalex.org/W2963521187","https://openalex.org/W2963821229","https://openalex.org/W2964137095","https://openalex.org/W2964259004","https://openalex.org/W2965658867","https://openalex.org/W2966671006","https://openalex.org/W2969652651","https://openalex.org/W2972830778","https://openalex.org/W2975350394","https://openalex.org/W2981748264","https://openalex.org/W2982234100","https://openalex.org/W2982344224","https://openalex.org/W2996409713","https://openalex.org/W2997112073","https://openalex.org/W2999270366","https://openalex.org/W3000556572","https://openalex.org/W3004061291","https://openalex.org/W3008515144","https://openalex.org/W3010557233","https://openalex.org/W3022761792","https://openalex.org/W3028151507","https://openalex.org/W3034297393","https://openalex.org/W3035297311","https://openalex.org/W3090955883","https://openalex.org/W3095248970","https://openalex.org/W3103046660","https://openalex.org/W3104151879","https://openalex.org/W3108720720","https://openalex.org/W3118608800","https://openalex.org/W4226034202","https://openalex.org/W4255158661","https://openalex.org/W4280580818","https://openalex.org/W4282934996","https://openalex.org/W4283833515","https://openalex.org/W4298858017","https://openalex.org/W4300687870","https://openalex.org/W4312376588","https://openalex.org/W4312395522","https://openalex.org/W4320474661","https://openalex.org/W4380607092","https://openalex.org/W6631190155","https://openalex.org/W6700264148","https://openalex.org/W6720242923","https://openalex.org/W6726497184","https://openalex.org/W6729788942","https://openalex.org/W6743428213","https://openalex.org/W6752342186","https://openalex.org/W6752515464","https://openalex.org/W6753069482","https://openalex.org/W6753303928","https://openalex.org/W6756887525","https://openalex.org/W6757204547","https://openalex.org/W6757713054","https://openalex.org/W6760526021","https://openalex.org/W6767878749","https://openalex.org/W6767994309","https://openalex.org/W6768287286","https://openalex.org/W6770599708","https://openalex.org/W6771784742","https://openalex.org/W6771859737","https://openalex.org/W6772803787","https://openalex.org/W6849381436","https://openalex.org/W7064562601"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1604739066","https://openalex.org/W2115878407","https://openalex.org/W2353011204"],"abstract_inverted_index":{"Binary":[0],"Neural":[1,24],"Networks":[2],"(BNNs)":[3],"using":[4],"1-bit":[5],"weights":[6],"and":[7,18,60,96,104,138,160,182,185],"activations":[8],"are":[9,64],"emerging":[10],"as":[11],"a":[12,73,109,141],"promising":[13],"approach":[14],"for":[15,66,117,135],"mobile":[16],"devices":[17],"edge":[19],"computing":[20],"platforms.":[21],"Concurrently,":[22],"traditional":[23],"Architecture":[25],"Search":[26],"(NAS)":[27],"has":[28],"gained":[29],"widespread":[30],"usage":[31],"in":[32,41,48,100],"automatically":[33],"designing":[34],"network":[35,102,144],"architectures.":[36],"However,":[37],"the":[38,52,86,93,98,118,123,130,147,155,170,186,189,192],"computation":[39],"involved":[40],"binary":[42,58,62,75,101,119,143],"NAS":[43,49],"is":[44,81,89,151,165],"more":[45],"complex":[46],"than":[47],"due":[50],"to":[51,91,153,167],"substantial":[53],"information":[54],"loss":[55],"incurred":[56],"by":[57],"modules,":[59],"different":[61,67,158],"spaces":[63],"required":[65],"tasks.":[68],"To":[69,121],"address":[70],"these":[71],"challenges,":[72],"universal":[74,142],"neural":[76],"architecture":[77],"search":[78,111],"(UBNAS)":[79],"algorithm":[80],"proposed.":[82],"In":[83],"this":[84],"paper,":[85],"ApproxSign":[87],"function":[88],"used":[90],"reduce":[92,169],"gradient":[94],"error":[95],"accelerate":[97],"convergence":[99],"searching":[103],"training.":[105],"Moreover,":[106],"UBNAS":[107],"adopts":[108],"novel":[110],"space":[112,125],"consisting":[113],"of":[114,132,157,191],"operations":[115,159],"appropriate":[116],"methods.":[120],"improve":[122],"original":[124],"operation":[126],"module,":[127],"we":[128],"explore":[129],"effect":[131],"diverse":[133],"structures":[134],"various":[136],"modules":[137],"ultimately":[139],"obtain":[140],"structure.":[145],"Additionally,":[146],"channel":[148],"sampling":[149],"ratio":[150],"adjusted":[152],"balance":[154],"advantages":[156],"an":[161],"early":[162],"stopping":[163],"strategy":[164],"implemented":[166],"significantly":[168],"computational":[171],"burden":[172],"associated":[173],"with":[174],"searching.":[175],"We":[176],"perform":[177],"extensive":[178],"experiments":[179],"on":[180],"CIFAR10,":[181],"ImageNet":[183],"datasets":[184],"results":[187],"demonstrate":[188],"effectiveness":[190],"proposed":[193],"method.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}