{"id":"https://openalex.org/W4379115649","doi":"https://doi.org/10.1109/vts56346.2023.10139963","title":"Hybrid Binary Neural Networks: A Tutorial Review","display_name":"Hybrid Binary Neural Networks: A Tutorial Review","publication_year":2023,"publication_date":"2023-04-24","ids":{"openalex":"https://openalex.org/W4379115649","doi":"https://doi.org/10.1109/vts56346.2023.10139963"},"language":"en","primary_location":{"id":"doi:10.1109/vts56346.2023.10139963","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vts56346.2023.10139963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 41st VLSI Test Symposium (VTS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080469744","display_name":"Ahmet Enis \u00c7etin","orcid":"https://orcid.org/0000-0002-3449-1958"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmet Enis Cetin","raw_affiliation_strings":["University of Illinois Chicago,Dept. of Electrical and Engineering,Chicago,Illinois","Dept. of Electrical and Engineering, University of Illinois Chicago, Chicago, Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago,Dept. of Electrical and Engineering,Chicago,Illinois","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Dept. of Electrical and Engineering, University of Illinois Chicago, Chicago, Illinois","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002608156","display_name":"Hongyi Pan","orcid":"https://orcid.org/0000-0001-9421-3936"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyi Pan","raw_affiliation_strings":["University of Illinois Chicago,Dept. of Electrical and Engineering,Chicago,Illinois","Dept. of Electrical and Engineering, University of Illinois Chicago, Chicago, Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago,Dept. of Electrical and Engineering,Chicago,Illinois","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Dept. of Electrical and Engineering, University of Illinois Chicago, Chicago, Illinois","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hadamard-transform","display_name":"Hadamard transform","score":0.7705140113830566},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.7699649930000305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7508809566497803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7057039737701416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46304944157600403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.428288996219635},{"id":"https://openalex.org/keywords/walsh-function","display_name":"Walsh function","score":0.41713747382164},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41520100831985474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30587366223335266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14030173420906067},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.12167015671730042}],"concepts":[{"id":"https://openalex.org/C60292330","wikidata":"https://www.wikidata.org/wiki/Q1014065","display_name":"Hadamard transform","level":2,"score":0.7705140113830566},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7699649930000305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7508809566497803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057039737701416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46304944157600403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.428288996219635},{"id":"https://openalex.org/C164319782","wikidata":"https://www.wikidata.org/wiki/Q1934233","display_name":"Walsh function","level":2,"score":0.41713747382164},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41520100831985474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30587366223335266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14030173420906067},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.12167015671730042},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vts56346.2023.10139963","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vts56346.2023.10139963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 41st VLSI Test Symposium (VTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1779006005","https://openalex.org/W1925312670","https://openalex.org/W1982621871","https://openalex.org/W2097117768","https://openalex.org/W2099585902","https://openalex.org/W2146842127","https://openalex.org/W2152281536","https://openalex.org/W2163605009","https://openalex.org/W2168587114","https://openalex.org/W2172166488","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2300242332","https://openalex.org/W2302255633","https://openalex.org/W2319920447","https://openalex.org/W2322432035","https://openalex.org/W2333786694","https://openalex.org/W2395611524","https://openalex.org/W2508689583","https://openalex.org/W2549139847","https://openalex.org/W2732618413","https://openalex.org/W2753301142","https://openalex.org/W2804564502","https://openalex.org/W2885527679","https://openalex.org/W2885647100","https://openalex.org/W2886934227","https://openalex.org/W2921526792","https://openalex.org/W2940390282","https://openalex.org/W2954048742","https://openalex.org/W2963037989","https://openalex.org/W2963112712","https://openalex.org/W2963163009","https://openalex.org/W2963495494","https://openalex.org/W2963551763","https://openalex.org/W2964350391","https://openalex.org/W2972442919","https://openalex.org/W2973854309","https://openalex.org/W2981689412","https://openalex.org/W2982083293","https://openalex.org/W2982536526","https://openalex.org/W2985488694","https://openalex.org/W3003910221","https://openalex.org/W3007570526","https://openalex.org/W3011862431","https://openalex.org/W3015879607","https://openalex.org/W3015887714","https://openalex.org/W3026536359","https://openalex.org/W3104151879","https://openalex.org/W3106941003","https://openalex.org/W3108720720","https://openalex.org/W3133262691","https://openalex.org/W3137850513","https://openalex.org/W3141650351","https://openalex.org/W3162090017","https://openalex.org/W3170336723","https://openalex.org/W3174892017","https://openalex.org/W4210398316","https://openalex.org/W4287824105","https://openalex.org/W4295262505","https://openalex.org/W4382681649","https://openalex.org/W6637373629","https://openalex.org/W6640054144","https://openalex.org/W6684191040","https://openalex.org/W6685405536","https://openalex.org/W6693397755","https://openalex.org/W6698183232","https://openalex.org/W6698200048","https://openalex.org/W6700264148","https://openalex.org/W6744700018","https://openalex.org/W6751372320","https://openalex.org/W6754930508","https://openalex.org/W6760613829","https://openalex.org/W6769621349","https://openalex.org/W6772326514","https://openalex.org/W6774408551","https://openalex.org/W6785563446","https://openalex.org/W6847515769"],"related_works":["https://openalex.org/W4385456289","https://openalex.org/W2011252634","https://openalex.org/W3100437958","https://openalex.org/W2303723627","https://openalex.org/W2513780272","https://openalex.org/W1983699456","https://openalex.org/W2101698554","https://openalex.org/W281425268","https://openalex.org/W2567265172","https://openalex.org/W1998849373"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"review":[4],"neural":[5,52],"networks":[6,14,26,53],"which":[7],"have":[8],"neurons":[9,29],"with":[10,27],"binary":[11,17,28,31],"operations":[12],"or":[13,30],"that":[15],"use":[16],"transforms":[18],"such":[19],"as":[20,47,49],"the":[21,50,55,58],"Walsh-Hadamard":[22],"transform":[23],"(WHT).":[24],"Neural":[25],"layers":[32],"can":[33],"be":[34],"used":[35],"in":[36,54],"edge":[37],"applications":[38,40],"and/or":[39],"requiring":[41],"energy-efficient":[42],"decision-making.":[43],"WHT-based":[44],"network":[45],"is":[46],"accurate":[48],"regular":[51],"CIFAR-10":[56],"and":[57],"Tiny":[59],"ImageNet":[60],"image":[61],"databases.":[62]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
