{"id":"https://openalex.org/W4213282001","doi":"https://doi.org/10.1145/3517130","title":"Efficient Layout Hotspot Detection via Neural Architecture Search","display_name":"Efficient Layout Hotspot Detection via Neural Architecture Search","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4213282001","doi":"https://doi.org/10.1145/3517130"},"language":"en","primary_location":{"id":"doi:10.1145/3517130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517130","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic 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/A5103103714","display_name":"Yiyang Jiang","orcid":"https://orcid.org/0000-0002-9031-3179"},"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"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Jiang","raw_affiliation_strings":["State Key Lab of AISC & System, School of Microelectronics, Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0002-9031-3179","affiliations":[{"raw_affiliation_string":"State Key Lab of AISC & System, School of Microelectronics, Fudan University, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045464812","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-2164-8175"},"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"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["State Key Lab of AISC & System, School of Microelectronics, Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0003-2164-8175","affiliations":[{"raw_affiliation_string":"State Key Lab of AISC & System, School of Microelectronics, Fudan University, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051340429","display_name":"Bei Yu","orcid":"https://orcid.org/0000-0001-6406-4810"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bei Yu","raw_affiliation_strings":["Chinese University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-6406-4810","affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["University of Texas at Dallas"],"raw_orcid":"https://orcid.org/0000-0002-2648-5232","affiliations":[{"raw_affiliation_string":"University of Texas at Dallas","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064213921","display_name":"Xuan Zeng","orcid":"https://orcid.org/0000-0002-8097-4053"},"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"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zeng","raw_affiliation_strings":["State Key Lab of AISC & System, School of Microelectronics, Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0002-8097-4053","affiliations":[{"raw_affiliation_string":"State Key Lab of AISC & System, School of Microelectronics, Fudan University, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3923,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83052329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":"6","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9725000262260437,"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":0.8554390072822571},{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.8299779891967773},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5643737316131592},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5105477571487427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47343993186950684},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.42437493801116943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3658261001110077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3630130887031555},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33318212628364563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32665520906448364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554390072822571},{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.8299779891967773},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5643737316131592},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5105477571487427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47343993186950684},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.42437493801116943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3658261001110077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3630130887031555},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33318212628364563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32665520906448364},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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:10.1145/3517130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3517130","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G8051421747","display_name":null,"funder_award_id":"2020YFA0711900, 2020YFA0711903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1976432889","https://openalex.org/W1981627777","https://openalex.org/W2008176598","https://openalex.org/W2029229890","https://openalex.org/W2037552354","https://openalex.org/W2057596653","https://openalex.org/W2097571249","https://openalex.org/W2117532720","https://openalex.org/W2119814172","https://openalex.org/W2121359873","https://openalex.org/W2192203593","https://openalex.org/W2538780316","https://openalex.org/W2553303224","https://openalex.org/W2565129985","https://openalex.org/W2625434482","https://openalex.org/W2746314669","https://openalex.org/W2767002384","https://openalex.org/W2785366763","https://openalex.org/W2941951293","https://openalex.org/W2945250736","https://openalex.org/W2946443981","https://openalex.org/W2951104886","https://openalex.org/W2963778169","https://openalex.org/W2965658867","https://openalex.org/W2998417722","https://openalex.org/W3150329878","https://openalex.org/W4245958820","https://openalex.org/W4248241425","https://openalex.org/W4300687381","https://openalex.org/W6752515464"],"related_works":["https://openalex.org/W2379637199","https://openalex.org/W2405057786","https://openalex.org/W2501832907","https://openalex.org/W2063054109","https://openalex.org/W2079602762","https://openalex.org/W2580355466","https://openalex.org/W1888682135","https://openalex.org/W2765519165","https://openalex.org/W1994086845","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Layout":[0],"hotspot":[1,20,81],"detection":[2,21,82],"is":[3],"of":[4],"great":[5,24],"importance":[6],"in":[7],"the":[8,70],"physical":[9],"verification":[10],"flow.":[11],"Deep":[12],"neural":[13,30,46,89],"network":[14],"models":[15],"have":[16],"been":[17],"applied":[18],"to":[19,36,50],"and":[22,55,63],"achieved":[23],"success.":[25],"Despite":[26],"their":[27],"success,":[28],"high-performance":[29],"networks":[31],"are":[32],"still":[33],"quite":[34],"difficult":[35],"design.":[37],"In":[38],"this":[39,53],"article,":[40],"we":[41],"propose":[42],"a":[43],"bayesian":[44],"optimization-based":[45],"architecture":[47],"search":[48],"scheme":[49,76],"automatically":[51],"do":[52],"time-consuming":[54],"fiddly":[56],"job.":[57],"Experimental":[58],"results":[59],"on":[60,80],"ICCAD":[61,64],"2012":[62],"2019":[65],"Contest":[66],"benchmarks":[67],"show":[68],"that":[69],"architectures":[71],"designed":[72,88],"by":[73],"our":[74],"proposed":[75],"achieve":[77],"higher":[78],"performance":[79],"task":[83],"compared":[84],"with":[85],"state-of-the-art":[86],"manually":[87],"networks.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}