{"id":"https://openalex.org/W4416430008","doi":"https://doi.org/10.1109/iccad66269.2025.11240976","title":"DIVE: Dynamic Information-Guided Variable Expansion for Deeper Analog Circuit Optimization","display_name":"DIVE: Dynamic Information-Guided Variable Expansion for Deeper Analog Circuit Optimization","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W4416430008","doi":"https://doi.org/10.1109/iccad66269.2025.11240976"},"language":null,"primary_location":{"id":"doi:10.1109/iccad66269.2025.11240976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","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/A5108323692","display_name":"Zhuohua Liu","orcid":"https://orcid.org/0009-0001-2415-793X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuohua Liu","raw_affiliation_strings":["Beihang University,School of Integrated Circuit"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Integrated Circuit","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035707617","display_name":"Weilun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210111925","display_name":"Shenzhen Chronic Disease Prevention Center","ror":"https://ror.org/0218xmz21","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210111925"]},{"id":"https://openalex.org/I4210164269","display_name":"Shenzhen Nanshan Center for Chronic Disease Control","ror":"https://ror.org/05h3xe829","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164269"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilun Xie","raw_affiliation_strings":["Shenzhen University,School of Mechatronic Control Engineering"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,School of Mechatronic Control Engineering","institution_ids":["https://openalex.org/I4210164269","https://openalex.org/I4210111925","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102837984","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0009-0007-5487-6314"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["Beihang University,School of Integrated Circuit"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Integrated Circuit","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000861891","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-6834-9327"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Beihang University,School of Integrated Circuit"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Integrated Circuit","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698140","display_name":"Yuanqi Hu","orcid":"https://orcid.org/0000-0001-9179-6603"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqi Hu","raw_affiliation_strings":["Beihang University,School of Integrated Circuit"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Integrated Circuit","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020806445","display_name":"Wei Xing","orcid":"https://orcid.org/0000-0002-3177-8478"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei W. Xing","raw_affiliation_strings":["University of Sheffield,School of Mathematical and Physical Science"],"affiliations":[{"raw_affiliation_string":"University of Sheffield,School of Mathematical and Physical Science","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108323692"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34407349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9399999976158142,"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":0.9399999976158142,"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":0.012799999676644802,"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":0.009600000455975533,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.6434000134468079},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6216999888420105},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5640000104904175},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5436000227928162},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43070000410079956},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.4018999934196472},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.39489999413490295},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.38600000739097595},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.38519999384880066}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6434000134468079},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6216999888420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597000002861023},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.4018999934196472},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.38600000739097595},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C190560348","wikidata":"https://www.wikidata.org/wiki/Q3245116","display_name":"Circuit design","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.2605000138282776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad66269.2025.11240976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1480330138","https://openalex.org/W2092939357","https://openalex.org/W2118561568","https://openalex.org/W2769791151","https://openalex.org/W2980498459","https://openalex.org/W2998166751","https://openalex.org/W3092618035","https://openalex.org/W3121642476","https://openalex.org/W3133413229","https://openalex.org/W3212050490","https://openalex.org/W4210287482","https://openalex.org/W4386764871","https://openalex.org/W4393168969","https://openalex.org/W4401070628","https://openalex.org/W4401568381","https://openalex.org/W4409282842"],"related_works":[],"abstract_inverted_index":{"In":[0],"analog":[1,131],"circuit":[2,182],"design,":[3],"transistor":[4],"sizing":[5],"remains":[6],"a":[7,54,118,137,168],"critical":[8],"challenge":[9],"due":[10],"to":[11,98,111,146,158],"high-dimensional":[12],"parameter":[13,58,160],"spaces":[14,161],"and":[15,100,116],"expensive":[16],"simulations.":[17],"While":[18],"Bayesian":[19],"optimization":[20,59,114],"shows":[21],"promise,":[22],"existing":[23],"methods":[24],"struggle":[25],"with":[26,78],"the":[27,79,113,151],"\"curse":[28],"of":[29,36],"dimensionality.\"":[30],"Inspired":[31],"by":[32,175],"expert":[33],"designers\u2019":[34,178],"workflow":[35],"focusing":[37],"on":[38,163],"key":[39],"parameters":[40,71],"first":[41],"before":[42],"gradually":[43],"optimizing":[44],"secondary":[45],"parameters,":[46],"we":[47],"introduce":[48],"DIVE":[49,73,135,166],"(Dynamic":[50],"Information-guided":[51],"Variable":[52],"Expansion),":[53],"framework":[55,84],"that":[56,68,94,108,134],"reformulates":[57],"as":[60],"an":[61,103],"information":[62,81,92,164],"efficiency":[63],"maximization":[64],"problem.":[65],"Unlike":[66],"approaches":[67],"explore":[69],"all":[70],"simultaneously,":[72],"progressively":[74],"includes":[75],"design":[76,179],"variables":[77],"highest":[80],"content.":[82],"Our":[83,184],"introduces":[85],"three":[86],"innovations:":[87],"(1)":[88],"constraint-aware":[89],"weighted":[90],"mutual":[91,119],"analysis":[93],"evaluates":[95],"parameters\u2019":[96],"contributions":[97],"objectives":[99],"constraints;":[101],"(2)":[102],"adaptive":[104],"variable":[105],"inclusion":[106],"mechanism":[107],"determines":[109],"when":[110],"expand":[112],"space;":[115],"(3)":[117],"information-guided":[120],"kernel":[121],"learning":[122],"strategy":[123],"for":[124,171],"Gaussian":[125],"process":[126],"models.":[127],"Evaluations":[128],"across":[129],"multiple":[130],"circuits":[132],"demonstrate":[133],"achieves":[136],"1.61\u00d7-21.11\u00d7":[138],"reduction":[139],"in":[140,181],"required":[141],"simulations":[142],"while":[143],"delivering":[144],"up":[145],"2.69\u00d7":[147],"spec":[148],"improvements":[149],"over":[150],"state-of-the-art":[152],"methods.":[153],"By":[154],"progressing":[155],"from":[156],"simple":[157],"complex":[159],"based":[162],"theory,":[165],"establishes":[167],"new":[169],"paradigm":[170],"reaching":[172],"deeper":[173],"optima":[174],"mimicking":[176],"experienced":[177],"philosophy":[180],"optimization.":[183],"code":[185],"is":[186],"available<sup":[187],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[189]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-20T00:00:00"}