{"id":"https://openalex.org/W4213048100","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712590","title":"A Novel and Efficient Bayesian Optimization Approach for Analog Designs with Multi-Testbench","display_name":"A Novel and Efficient Bayesian Optimization Approach for Analog Designs with Multi-Testbench","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4213048100","doi":"https://doi.org/10.1109/asp-dac52403.2022.9712590"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac52403.2022.9712590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712590","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5056186150","display_name":"Jingyao Zhao","orcid":"https://orcid.org/0000-0002-3133-8683"},"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":"Jingyao Zhao","raw_affiliation_strings":["School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","State Key Lab of ASIC System, School of Microelectronics, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","institution_ids":["https://openalex.org/I4210132426"]},{"raw_affiliation_string":"State Key Lab of ASIC 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/A5037328458","display_name":"Changhao Yan","orcid":"https://orcid.org/0000-0002-8936-3945"},"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":"Changhao Yan","raw_affiliation_strings":["School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","State Key Lab of ASIC System, School of Microelectronics, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","institution_ids":["https://openalex.org/I4210132426"]},{"raw_affiliation_string":"State Key Lab of ASIC 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/A5039204202","display_name":"Zhaori Bi","orcid":"https://orcid.org/0000-0002-7315-3150"},"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":"Zhaori Bi","raw_affiliation_strings":["School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","State Key Lab of ASIC System, School of Microelectronics, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","institution_ids":["https://openalex.org/I4210132426"]},{"raw_affiliation_string":"State Key Lab of ASIC 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":["School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","State Key Lab of ASIC System, School of Microelectronics, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","institution_ids":["https://openalex.org/I4210132426"]},{"raw_affiliation_string":"State Key Lab of ASIC 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/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":["School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","State Key Lab of ASIC System, School of Microelectronics, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Lab of ASIC System,China","institution_ids":["https://openalex.org/I4210132426"]},{"raw_affiliation_string":"State Key Lab of ASIC System, School of Microelectronics, Fudan University, China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["University of Texas at Dallas,Department of Electrical Engineering,Richardson,TX,U.S.A","Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas,Department of Electrical Engineering,Richardson,TX,U.S.A","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, U.S.A","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9991999864578247,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191850543022156},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.648396372795105},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6089731454849243},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.48980236053466797},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46865811944007874},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4118332862854004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3982544541358948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21951013803482056},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1389804482460022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191850543022156},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.648396372795105},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6089731454849243},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.48980236053466797},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46865811944007874},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4118332862854004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3982544541358948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21951013803482056},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1389804482460022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asp-dac52403.2022.9712590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac52403.2022.9712590","pdf_url":null,"source":{"id":"https://openalex.org/S4363608500","display_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1673310716","https://openalex.org/W1964239621","https://openalex.org/W1998752433","https://openalex.org/W2021726697","https://openalex.org/W2065183815","https://openalex.org/W2074046446","https://openalex.org/W2107386393","https://openalex.org/W2131792768","https://openalex.org/W2147059000","https://openalex.org/W2167789032","https://openalex.org/W2171048418","https://openalex.org/W2186013251","https://openalex.org/W2192203593","https://openalex.org/W2321997726","https://openalex.org/W2769791151","https://openalex.org/W2804987245","https://openalex.org/W2945689147","https://openalex.org/W2950141829","https://openalex.org/W3092488979","https://openalex.org/W3121642476","https://openalex.org/W3157580548","https://openalex.org/W6637131181","https://openalex.org/W6675823452","https://openalex.org/W6751513613","https://openalex.org/W6788648053"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Analog":[0],"circuits":[1],"are":[2,77],"characterized":[3],"by":[4],"various":[5],"circuit":[6,31],"performances":[7],"obtained":[8],"from":[9],"multiple":[10],"testbenches":[11],"which":[12],"need":[13],"to":[14,46,79],"be":[15],"simulated":[16],"independently.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"propose":[22],"an":[23],"efficient":[24],"Bayesian":[25],"optimization":[26,105],"approach":[27,89],"for":[28,41,67],"multi-testbench":[29],"analog":[30],"design.":[32],"Predictive":[33],"Entropy":[34],"Search":[35],"with":[36,98],"Constraints":[37],"(PESC)":[38],"is":[39,52],"applied":[40],"selecting":[42],"the":[43,60,81,99],"suitable":[44],"testbench":[45],"simulate,":[47],"and":[48,69,102],"time-weighted":[49],"PESC":[50],"(wPESC)":[51],"also":[53],"proposed":[54,78,88],"considering":[55],"different":[56],"analysis":[57],"time.":[58],"Furthermore,":[59],"Feasibility":[61],"Expected":[62],"Improvement":[63],"(FEI)":[64],"acquisition":[65],"function":[66],"constraints":[68],"solving":[70],"a":[71],"multi-modal":[72],"optimal":[73],"problem":[74],"of":[75,83],"FEI":[76],"improve":[80],"efficiency":[82],"exploring":[84],"feasible":[85],"regions.":[86],"The":[87],"can":[90],"gain":[91],"<tex":[92],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$2.{7}\\sim":[94],"3.8\\times$</tex>":[95],"speedup":[96],"compared":[97],"state-of-the-art":[100],"method,":[101],"achieve":[103],"better":[104],"results.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
