{"id":"https://openalex.org/W4410553006","doi":"https://doi.org/10.23919/date64628.2025.10993121","title":"LaRED: Efficient IR Drop Predictor with Layout-Preserving Rebuilder-Encoder-Decoder Architecture","display_name":"LaRED: Efficient IR Drop Predictor with Layout-Preserving Rebuilder-Encoder-Decoder Architecture","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410553006","doi":"https://doi.org/10.23919/date64628.2025.10993121"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10993121","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","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/A5106425552","display_name":"Chengxuan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengxuan Yu","raw_affiliation_strings":["China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802113","display_name":"Yuntian Teng","orcid":"https://orcid.org/0009-0004-9878-3759"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanshuang Teng","raw_affiliation_strings":["China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077369530","display_name":"Wenhao Dai","orcid":"https://orcid.org/0000-0002-9036-5219"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Dai","raw_affiliation_strings":["China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103280126","display_name":"Yong\u2010Jiang Li","orcid":"https://orcid.org/0000-0002-4678-9209"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjiang Li","raw_affiliation_strings":["China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","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":["The University of Sheffield,SoMaS,Sheffield,United Kingdom"],"affiliations":[{"raw_affiliation_string":"The University of Sheffield,SoMaS,Sheffield,United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446386","display_name":"Wu Xiao","orcid":"https://orcid.org/0000-0002-2793-5602"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Wu","raw_affiliation_strings":["Huada Empyrean Software Co. Ltd,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Huada Empyrean Software Co. Ltd,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020944070","display_name":"Dan Niu","orcid":"https://orcid.org/0000-0002-0715-7946"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Niu","raw_affiliation_strings":["School of Automation, Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057257864","display_name":"Zhou Jin","orcid":"https://orcid.org/0000-0002-0632-9494"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Jin","raw_affiliation_strings":["China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China University of Petroleum-Beijing,SSSLab,Dept. of CST,Beijing,China","institution_ids":["https://openalex.org/I204553293"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5106425552"],"corresponding_institution_ids":["https://openalex.org/I204553293"],"apc_list":null,"apc_paid":null,"fwci":1.368,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.820293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.6818000078201294,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.6818000078201294,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.6366000175476074,"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/T10623","display_name":"Thin-Film Transistor Technologies","score":0.6168000102043152,"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/computer-science","display_name":"Computer science","score":0.7092846632003784},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.667214572429657},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6241944432258606},{"id":"https://openalex.org/keywords/drop","display_name":"Drop (telecommunication)","score":0.520151674747467},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4215506613254547},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.346155047416687},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32666778564453125},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12359249591827393},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10860168933868408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092846632003784},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.667214572429657},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6241944432258606},{"id":"https://openalex.org/C2781345722","wikidata":"https://www.wikidata.org/wiki/Q5308388","display_name":"Drop (telecommunication)","level":2,"score":0.520151674747467},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4215506613254547},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.346155047416687},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32666778564453125},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12359249591827393},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10860168933868408},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10993121","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5595931838","display_name":null,"funder_award_id":"62234010,62204265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G806910765","display_name":null,"funder_award_id":"2462024BJRC002","funder_id":"https://openalex.org/F4320326291","funder_display_name":"Science Foundation of China University of Petroleum, Beijing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326291","display_name":"Science Foundation of China University of Petroleum, Beijing","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2099647435","https://openalex.org/W2139030761","https://openalex.org/W2167232953","https://openalex.org/W2295598076","https://openalex.org/W2560023338","https://openalex.org/W2601564443","https://openalex.org/W2738327015","https://openalex.org/W2789876780","https://openalex.org/W3013164405","https://openalex.org/W3036319002","https://openalex.org/W3094897602","https://openalex.org/W3148313567","https://openalex.org/W4238320324","https://openalex.org/W4312939495","https://openalex.org/W4381415966","https://openalex.org/W4401568772","https://openalex.org/W4404102244","https://openalex.org/W4404134074","https://openalex.org/W6676231525","https://openalex.org/W6783115343","https://openalex.org/W6783437975"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2379948177","https://openalex.org/W2038503502"],"abstract_inverted_index":{"In":[0],"the":[1,32,39,82,119,158,177],"realm":[2],"of":[3,35,42,79,84,134,147,167],"integrated":[4,186],"circuit":[5,187],"verification,":[6],"IR":[7,182],"drop":[8,183],"analysis":[9,184],"plays":[10],"a":[11,61],"crucial":[12],"role.":[13],"Recent":[14],"advancements":[15],"in":[16,171,180],"machine":[17],"learning":[18],"(ML)":[19],"significantly":[20],"enhance":[21],"its":[22,77,153],"efficiency,":[23],"yet":[24],"many":[25],"current":[26,159],"approaches":[27],"fail":[28],"to":[29,75,143,157,169],"fully":[30],"leverage":[31],"input":[33],"structure":[34,95],"feature":[36,111,123,135],"maps":[37],"and":[38,66,72,81,98,109,150],"transmission":[40,83,124],"mechanism":[41],"Power":[43],"Delivery":[44],"Network":[45],"(PDN)":[46],"layouts.":[47],"To":[48],"bridge":[49],"these":[50],"gaps,":[51],"we":[52],"introduce":[53],"Layout-Preserving":[54],"Rebuilder-Encoder-Decoder":[55,63],"Architecture":[56],"Predictor":[57],"(LaRED),":[58],"which":[59],"employs":[60],"novel":[62],"(RED)":[64],"architecture":[65],"utilizes":[67],"an":[68],"innovative":[69],"downsampling":[70],"approach":[71,140],"upsampling":[73],"framework":[74],"optimize":[76],"perception":[78],"instances":[80],"features.":[85],"LaRED":[86,142,163],"captures":[87],"information":[88,136],"from":[89],"various":[90],"regions":[91],"with":[92,189],"asymmetric":[93],"topological":[94],"while":[96],"preserving":[97],"transferring":[99],"layout":[100],"characteristics":[101],"through":[102],"deformable":[103],"convolution,":[104],"hybrid":[105],"downsampling,":[106],"cascaded":[107],"upsampling,":[108],"attentional":[110],"fusion.":[112],"The":[113,128,192],"rebuilder":[114],"rebuilds":[115],"raw":[116],"input,":[117],"whereas":[118],"encoder":[120],"ensures":[121],"comprehensive":[122],"across":[125,137],"all":[126],"instances.":[127],"decoder":[129],"then":[130],"facilitates":[131],"seamless":[132],"transfer":[133],"layers.":[138],"This":[139],"enables":[141],"integrate":[144],"chip":[145],"features":[146],"varying":[148],"topologies":[149],"scales,":[151],"enhancing":[152],"representational":[154],"power.":[155],"Compared":[156],"State-Of-The-Art":[160],"(SOTA),":[161],"MAUnet,":[162],"achieves":[164],"accuracy":[165],"improvements":[166],"34.6%":[168],"42.6%":[170],"benchmark":[172],"tests,":[173],"establishing":[174],"it":[175],"as":[176],"new":[178],"standard":[179],"static":[181],"for":[185],"design":[188],"ML":[190],"techniques.":[191],"code":[193],"is":[194],"available":[195],"at":[196],"https://github.com/Todi85/LaRED.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}