{"id":"https://openalex.org/W4414198212","doi":"https://doi.org/10.1109/dac63849.2025.11132596","title":"Graph-Guided Transfer Learning to Boost the Efficiency of System-Level Optimization of Analog/Mixed-Signal Circuits","display_name":"Graph-Guided Transfer Learning to Boost the Efficiency of System-Level Optimization of Analog/Mixed-Signal Circuits","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414198212","doi":"https://doi.org/10.1109/dac63849.2025.11132596"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11132596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5115593076","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0009-0006-6916-3790"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["ESAT-MICAS, KU Leuven,Leuven,Belgium,3001"],"affiliations":[{"raw_affiliation_string":"ESAT-MICAS, KU Leuven,Leuven,Belgium,3001","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029270525","display_name":"Georges Gielen","orcid":"https://orcid.org/0000-0002-4061-9428"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Georges G.E. Gielen","raw_affiliation_strings":["ESAT-MICAS, KU Leuven,Leuven,Belgium,3001"],"affiliations":[{"raw_affiliation_string":"ESAT-MICAS, KU Leuven,Leuven,Belgium,3001","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115593076"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":2.1983,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87931391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9467999935150146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5687000155448914},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5164999961853027},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49570000171661377},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4700999855995178},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41179999709129333},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.36890000104904175},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.36399999260902405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013000249862671},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5687000155448914},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5164999961853027},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.36890000104904175},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3617999851703644},{"id":"https://openalex.org/C2987722363","wikidata":"https://www.wikidata.org/wiki/Q192704","display_name":"Transfer efficiency","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32179999351501465},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.2816999852657318}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dac63849.2025.11132596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/782724","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/782724","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"62nd Design Automation Conference-DAC, CA, San Francisco, 22-26 June 2023","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1857383444","https://openalex.org/W2126105956","https://openalex.org/W2126139645","https://openalex.org/W2141776905","https://openalex.org/W2144022836","https://openalex.org/W2513752472","https://openalex.org/W2792774334","https://openalex.org/W2799757431","https://openalex.org/W2913218144","https://openalex.org/W3036532492","https://openalex.org/W3092618035","https://openalex.org/W3138181949","https://openalex.org/W3199544972","https://openalex.org/W3207321082","https://openalex.org/W4200312391","https://openalex.org/W4220898971","https://openalex.org/W4249363765","https://openalex.org/W4383337690","https://openalex.org/W4385192509","https://openalex.org/W4389428410","https://openalex.org/W4404134055"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,47,133],"novel":[4],"graph-guided":[5],"transfer":[6,84,118],"learning":[7,85],"approach":[8],"to":[9,57,72,99,109],"boost":[10,124],"the":[11,73,82,88,93,103,114,125,130],"efficiency":[12,40,127],"of":[13,16,76,95,136],"system-level":[14,20],"optimization":[15,21,104,110,126],"analog/mixed-signal":[17,137],"circuits.":[18],"The":[19,35,43],"is":[22,46],"based":[23],"on":[24],"Reinforcement":[25],"Learning":[26],"(RL)":[27],"in":[28,39],"combination":[29],"with":[30],"Graph":[31],"Attention":[32],"Networks":[33],"(GAT).":[34],"results":[36,105],"surpass":[37],"state-of-the-art":[38],"and":[41,61,101,128],"optimality.":[42],"key":[44],"innovation":[45],"graph":[48],"similarity":[49],"detection":[50],"method":[51],"that":[52],"leverages":[53],"embedded":[54],"design":[55],"knowledge":[56,64,117],"identify":[58],"electrical":[59],"similarities":[60],"trade-offs,":[62],"enhancing":[63],"transferability,":[65],"even":[66],"between":[67],"dissimilar":[68],"circuit":[69],"architectures.":[70],"Applied":[71],"case":[74],"study":[75],"4th-order":[77],"continuoustime":[78],"Delta-Sigma":[79],"analog-to-digital":[80],"converters,":[81],"graph-based":[83],"framework":[86,115],"enhances":[87],"RL":[89],"sampling":[90],"efficiency,":[91],"reducing":[92],"amount":[94],"simulations":[96],"by":[97,106],"up":[98],"11x,":[100],"improves":[102],"12.4%":[107],"compared":[108],"from":[111],"scratch.":[112],"As":[113],"accelerates":[116],"across":[119],"different":[120],"architectures,":[121],"it":[122],"can":[123],"improve":[129],"performance":[131],"towards":[132],"broad":[134],"range":[135],"systems.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}