{"id":"https://openalex.org/W4401568381","doi":"https://doi.org/10.23919/date58400.2024.10546770","title":"tSS-BO: Scalable Bayesian Optimization for Analog Circuit Sizing via Truncated Subspace Sampling","display_name":"tSS-BO: Scalable Bayesian Optimization for Analog Circuit Sizing via Truncated Subspace Sampling","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4401568381","doi":"https://doi.org/10.23919/date58400.2024.10546770"},"language":"en","primary_location":{"id":"doi:10.23919/date58400.2024.10546770","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date58400.2024.10546770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Design, Automation &amp;amp; Test in Europe Conference &amp;amp; Exhibition (DATE)","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/A5073013370","display_name":"Tianchen Gu","orcid":"https://orcid.org/0000-0002-9390-2761"},"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":"Tianchen Gu","raw_affiliation_strings":["School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365346","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0001-8665-4598"},"institutions":[{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4391767993","display_name":"State Key Laboratory of Scientific and Engineering Computing","ror":"https://ror.org/02fp7dp35","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485","https://openalex.org/I4391767993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["Academy of Mathematics and Systems Science, Chinese Academy of Sciences &#x0026; University of Chinese Academy of Sciences,State Key Laboratory of Scientific and Engineering Computing,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences &#x0026; University of Chinese Academy of Sciences,State Key Laboratory of Scientific and Engineering Computing,Beijing,China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I4210165038","https://openalex.org/I4391767993"]}]},{"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 Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,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 Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,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 Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049714364","display_name":"Yajie Qin","orcid":"https://orcid.org/0000-0002-4879-5995"},"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":"Yajie Qin","raw_affiliation_strings":["School of Information Science and Technology, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005893","display_name":"Tao Cui","orcid":"https://orcid.org/0000-0002-9975-4595"},"institutions":[{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4391767993","display_name":"State Key Laboratory of Scientific and Engineering Computing","ror":"https://ror.org/02fp7dp35","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485","https://openalex.org/I4391767993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Cui","raw_affiliation_strings":["Academy of Mathematics and Systems Science, Chinese Academy of Sciences &#x0026; University of Chinese Academy of Sciences,State Key Laboratory of Scientific and Engineering Computing,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences &#x0026; University of Chinese Academy of Sciences,State Key Laboratory of Scientific and Engineering Computing,Beijing,China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I4210165038","https://openalex.org/I4391767993"]}]},{"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":["School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9987000226974487,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9973999857902527,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.7716506123542786},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7410048842430115},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5695082545280457},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5670619010925293},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5443460941314697},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5291250944137573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5146608948707581},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3756096363067627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3034791350364685},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17526978254318237},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10597863793373108}],"concepts":[{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.7716506123542786},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7410048842430115},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5695082545280457},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5670619010925293},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5443460941314697},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5291250944137573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5146608948707581},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3756096363067627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3034791350364685},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17526978254318237},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10597863793373108},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date58400.2024.10546770","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date58400.2024.10546770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Design, Automation &amp;amp; Test in Europe Conference &amp;amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1341937779","display_name":null,"funder_award_id":"2020YFA0711900,2020YFA0711901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3331854236","display_name":null,"funder_award_id":"Z220003","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4921739210","display_name":null,"funder_award_id":"62141407,62304052,61974032,61929102,61674042,62090025","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1964239621","https://openalex.org/W1993523857","https://openalex.org/W1998752433","https://openalex.org/W2036795720","https://openalex.org/W2054077951","https://openalex.org/W2074046446","https://openalex.org/W2192203593","https://openalex.org/W2769791151","https://openalex.org/W2978512279","https://openalex.org/W2998324702","https://openalex.org/W3025544109","https://openalex.org/W3092618035","https://openalex.org/W3160469020","https://openalex.org/W3185898267","https://openalex.org/W3212050490","https://openalex.org/W3213635425","https://openalex.org/W4312591505","https://openalex.org/W6766900132"],"related_works":["https://openalex.org/W2375311683","https://openalex.org/W2366062860","https://openalex.org/W2373777250","https://openalex.org/W2353956655","https://openalex.org/W2020653254","https://openalex.org/W2010454064","https://openalex.org/W2352072014","https://openalex.org/W217279133","https://openalex.org/W2393487946","https://openalex.org/W2373310108"],"abstract_inverted_index":{"We":[0,92],"propose":[1,29],"a":[2,34,47,58,76,165],"novel":[3],"scalable":[4],"Bayesian":[5,175],"optimization":[6,16],"method":[7,141,157,182],"with":[8,64,87,118],"truncated":[9,35,77],"subspace":[10,30,90],"sampling":[11,31,43],"(tSS-BO)":[12],"to":[13,33,46,57,102,108,160,173,185],"tackle":[14],"high-dimensional":[15,26],"challenges":[17],"for":[18,125],"large-scale":[19],"analog":[20,179],"circuit":[21],"sizing.":[22],"To":[23,112],"address":[24],"the":[25,41,53,65,126,132,155,174],"challenges,":[27],"we":[28,120],"subject":[32],"Gaussian":[36,98],"distribution.":[37],"This":[38],"approach":[39],"limits":[40],"effective":[42],"dimensionality":[44],"down":[45],"constant":[48],"upper":[49],"bound,":[50],"independent":[51],"of":[52,67,128,134],"original":[54],"dimensionality,":[55],"leading":[56],"significant":[59],"reduction":[60,171],"in":[61,148,188],"complexity":[62,170],"associated":[63],"curse":[66],"dimensionality.":[68],"The":[69,138],"distribution":[70],"covariance":[71],"is":[72],"iteratively":[73],"updated":[74],"using":[75],"flow,":[78],"where":[79],"approximate":[80,103],"gradients":[81,104],"and":[82,96,115,164,191],"center":[83],"steps":[84],"are":[85],"integrated":[86],"decaying":[88],"prior":[89],"features.":[91],"introduce":[93],"gradient":[94],"sketching":[95],"local":[97,122],"process":[99],"(GP)":[100],"models":[101,124],"without":[105],"additional":[106],"simulations":[107],"mitigate":[109],"systematic":[110],"errors.":[111],"enhance":[113],"efficiency":[114],"ensure":[116],"compatibility":[117],"constraints,":[119],"utilize":[121],"GP":[123],"selection":[127],"promising":[129],"candidates,":[130],"avoiding":[131],"cost":[133],"acquisition":[135],"function":[136],"optimization.":[137],"proposed":[139],"tSS-BO":[140,156],"exhibits":[142],"clear":[143],"advantages":[144],"over":[145,167],"state-of-the-art":[146],"methods":[147],"experimental":[149],"comparisons.":[150],"In":[151,177],"synthetic":[152],"benchmark":[153],"functions,":[154],"achieves":[158,183],"up":[159,184],"<tex>$4.93\\times$</tex>":[161],"evaluation":[162],"speedups":[163,187],"remarkable":[166],"<tex>$30\\times$</tex>":[168],"algorithm":[169],"compared":[172],"baseline.":[176],"real-world":[178],"circuits,":[180],"our":[181],"<tex>$2\\times$</tex>":[186],"simulation":[189],"number":[190],"runtime.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
