{"id":"https://openalex.org/W2945015747","doi":"https://doi.org/10.1145/3316781.3317863","title":"Meta-Model based High-Dimensional Yield Analysis using Low-Rank Tensor Approximation","display_name":"Meta-Model based High-Dimensional Yield Analysis using Low-Rank Tensor Approximation","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2945015747","doi":"https://doi.org/10.1145/3316781.3317863","mag":"2945015747"},"language":"en","primary_location":{"id":"doi:10.1145/3316781.3317863","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3316781.3317863","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317863","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317863","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xiao Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"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","US"],"is_corresponding":true,"raw_author_name":"Xiao Shi","raw_affiliation_strings":["State Key Lab of ASIC &amp; System, Microelectronics Dept., Fudan University, China and Electrical and Computer Engineering Dept., University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC &amp; System, Microelectronics Dept., Fudan University, China and Electrical and Computer Engineering Dept., University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067","https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040139371","display_name":"Hao Yan","orcid":"https://orcid.org/0000-0002-5312-4483"},"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":"Hao Yan","raw_affiliation_strings":["Electrical Engineering Dept., Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Dept., Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058632983","display_name":"Qiancun Huang","orcid":null},"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":"Qiancun Huang","raw_affiliation_strings":["Electrical Engineering Dept., Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Dept., Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417654","display_name":"Jiajia Zhang","orcid":"https://orcid.org/0009-0007-6884-0638"},"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":"Jiajia Zhang","raw_affiliation_strings":["Electrical Engineering Dept., Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Dept., Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499715","display_name":"Longxing Shi","orcid":"https://orcid.org/0000-0002-0629-7154"},"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":"Longxing Shi","raw_affiliation_strings":["Electrical Engineering Dept., Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Dept., Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008695429","display_name":"Lei He","orcid":"https://orcid.org/0000-0002-5266-3805"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Lei He","raw_affiliation_strings":["State Key Lab of ASIC &amp; System, Microelectronics Dept., Fudan University, China and Electrical and Computer Engineering Dept., University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"State Key Lab of ASIC &amp; System, Microelectronics Dept., Fudan University, China and Electrical and Computer Engineering Dept., University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067","https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765","https://openalex.org/I24943067","https://openalex.org/I4210132426"],"apc_list":null,"apc_paid":null,"fwci":2.324,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91095402,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9987999796867371,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7187522649765015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.578126072883606},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5770092010498047},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5693523287773132},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5408113598823547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4363248348236084},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.43590760231018066},{"id":"https://openalex.org/keywords/spice","display_name":"Spice","score":0.4265492558479309},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.41512736678123474},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4133298397064209},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39892956614494324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3023245334625244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24389734864234924},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11224442720413208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08061563968658447}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7187522649765015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.578126072883606},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5770092010498047},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5693523287773132},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5408113598823547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4363248348236084},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.43590760231018066},{"id":"https://openalex.org/C2780077345","wikidata":"https://www.wikidata.org/wiki/Q16891888","display_name":"Spice","level":2,"score":0.4265492558479309},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.41512736678123474},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4133298397064209},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39892956614494324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3023245334625244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24389734864234924},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11224442720413208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08061563968658447},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3316781.3317863","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3316781.3317863","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317863","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3316781.3317863","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3316781.3317863","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317863","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945015747.pdf","grobid_xml":"https://content.openalex.org/works/W2945015747.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1499812209","https://openalex.org/W2018159038","https://openalex.org/W2033246483","https://openalex.org/W2049774453","https://openalex.org/W2063978378","https://openalex.org/W2103793078","https://openalex.org/W2119312496","https://openalex.org/W2135046866","https://openalex.org/W2153628901","https://openalex.org/W2158683023","https://openalex.org/W2329870304","https://openalex.org/W2519965010","https://openalex.org/W2809533575"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"\"Curse":[0],"of":[1,34,89],"dimensionality\"":[2],"has":[3],"become":[4],"the":[5],"major":[6],"challenge":[7],"for":[8,48],"existing":[9],"high-sigma":[10],"yield":[11],"analysis":[12],"methods.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"develop":[18],"a":[19,59],"meta-model":[20,54],"using":[21],"Low-Rank":[22],"Tensor":[23],"Approximation":[24],"(LRTA)":[25],"to":[26],"substitute":[27],"expensive":[28],"SPICE":[29],"simulation.":[30],"The":[31],"polynomial":[32],"degree":[33],"our":[35],"LRTA":[36,53,81],"model":[37],"grows":[38],"linearly":[39],"with":[40,58,66],"circuit":[41,50],"dimension.":[42],"This":[43],"makes":[44],"it":[45],"especially":[46],"promising":[47],"high-dimensional":[49],"problems.":[51],"Our":[52],"is":[55],"solved":[56],"efficiently":[57],"robust":[60],"greedy":[61],"algorithm,":[62],"and":[63,75,91],"calibrated":[64],"iteratively":[65],"an":[67],"adaptive":[68],"sampling":[69],"method.":[70],"Experiments":[71],"on":[72],"bit":[73],"cell":[74],"SRAM":[76],"column":[77],"validate":[78],"that":[79],"proposed":[80],"method":[82],"outperforms":[83],"other":[84],"state-of-the-art":[85],"approaches":[86],"in":[87],"terms":[88],"accuracy":[90],"efficiency.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
