{"id":"https://openalex.org/W3004647434","doi":"https://doi.org/10.1109/asicon47005.2019.8983441","title":"Genetic Architecture Search for Binarized Neural Networks","display_name":"Genetic Architecture Search for Binarized Neural Networks","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3004647434","doi":"https://doi.org/10.1109/asicon47005.2019.8983441","mag":"3004647434"},"language":"en","primary_location":{"id":"doi:10.1109/asicon47005.2019.8983441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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/A5010523156","display_name":"Yangyang Chang","orcid":"https://orcid.org/0000-0002-3331-1628"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yangyang Chang","raw_affiliation_strings":["University of Minnesota,Dept. of Electrical and Computer Engineering,Minneapolis,Minnesota,USA","Dept. of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Dept. of Electrical and Computer Engineering,Minneapolis,Minnesota,USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041064476","display_name":"Gerald E. Sobelman","orcid":"https://orcid.org/0000-0002-4415-7320"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerald E. Sobelman","raw_affiliation_strings":["University of Minnesota,Dept. of Electrical and Computer Engineering,Minneapolis,Minnesota,USA","Dept. of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota,Dept. of Electrical and Computer Engineering,Minneapolis,Minnesota,USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011384237","display_name":"Xiaofang Zhou","orcid":"https://orcid.org/0000-0001-6343-1455"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Zhou","raw_affiliation_strings":["State Key Lab of ASIC and Systems, Fudan University,Shanghai,China,200433","State Key Lab of ASIC and Systems, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC and Systems, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Lab of ASIC and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010523156"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72655606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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":0.9966999888420105,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.984499990940094,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.96670001745224,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7938336133956909},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6464815735816956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6274401545524597},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5552218556404114},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5307234525680542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5229526162147522},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.47249165177345276},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4658929109573364},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44826021790504456},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27776065468788147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7938336133956909},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6464815735816956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6274401545524597},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5552218556404114},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5307234525680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5229526162147522},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.47249165177345276},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4658929109573364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44826021790504456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27776065468788147},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/asicon47005.2019.8983441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2085649379"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4383066092","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W3215138031"],"abstract_inverted_index":{"In":[0,66],"order":[1],"for":[2,71],"deep":[3],"learning":[4],"applications":[5],"to":[6,21,55,61],"run":[7],"efficiently":[8],"on":[9,46],"low-power":[10],"edge":[11],"devices,":[12],"including":[13],"mobile":[14],"and":[15,25],"internet-of-things":[16],"systems,":[17],"it":[18],"is":[19,54],"important":[20],"reduce":[22],"their":[23],"computational":[24],"memory":[26],"requirements.":[27],"Binarized":[28],"neural":[29],"networks":[30,78],"have":[31],"shown":[32],"promise":[33],"in":[34],"this":[35,67],"area,":[36],"but":[37],"these":[38],"are":[39,79],"typically":[40],"designed":[41],"using":[42],"existing":[43],"architectures":[44],"based":[45],"floating-point":[47],"number":[48],"representations.":[49],"A":[50],"more":[51],"promising":[52],"approach":[53],"apply":[56],"network":[57],"architecture":[58],"search":[59,75],"algorithms":[60],"find":[62],"optimized":[63],"binarized":[64,77],"architectures.":[65],"paper,":[68],"encoding":[69],"schemes":[70],"the":[72,85,88],"genetic":[73],"algorithm":[74],"of":[76,87],"described.":[80],"The":[81],"simulation":[82],"results":[83],"demonstrate":[84],"effectiveness":[86],"proposed":[89],"method.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"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"}
