{"id":"https://openalex.org/W7162665749","doi":"https://doi.org/10.1109/isqed69900.2026.11534666","title":"HeXinTimer: An AI-Enhanced STA Framework Supporting CCS and SI with Signoff Accuracy","display_name":"HeXinTimer: An AI-Enhanced STA Framework Supporting CCS and SI with Signoff Accuracy","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7162665749","doi":"https://doi.org/10.1109/isqed69900.2026.11534666"},"language":null,"primary_location":{"id":"doi:10.1109/isqed69900.2026.11534666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed69900.2026.11534666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 27th International Symposium on Quality Electronic Design (ISQED)","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/A5137299264","display_name":"Chao Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yan","raw_affiliation_strings":["HeXin Industrial Software Co., Ltd.,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HeXin Industrial Software Co., Ltd.,Shanghai,China","institution_ids":["https://openalex.org/I4210093776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065384644","display_name":"Zishu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zishu Wu","raw_affiliation_strings":["HeXin Industrial Software Co., Ltd.,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HeXin Industrial Software Co., Ltd.,Shanghai,China","institution_ids":["https://openalex.org/I4210093776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137244013","display_name":"Jingjia Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjia Xu","raw_affiliation_strings":["HeXin Industrial Software Co., Ltd.,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HeXin Industrial Software Co., Ltd.,Shanghai,China","institution_ids":["https://openalex.org/I4210093776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137301038","display_name":"Ziwei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Liu","raw_affiliation_strings":["HeXin Industrial Software Co., Ltd.,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HeXin Industrial Software Co., Ltd.,Shanghai,China","institution_ids":["https://openalex.org/I4210093776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101545200","display_name":"Boyuan Liu","orcid":"https://orcid.org/0000-0002-5108-5812"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyuan Liu","raw_affiliation_strings":["Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137248367","display_name":"Xi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["HeXin Industrial Software Co., Ltd.,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HeXin Industrial Software Co., Ltd.,Shanghai,China","institution_ids":["https://openalex.org/I4210093776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137294589","display_name":"Zefeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefeng Wang","raw_affiliation_strings":["Huzhou University,School of Information Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huzhou University,School of Information Engineering,China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86386746,"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.09780000150203705,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.09780000150203705,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.07020000368356705,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.044199999421834946,"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/process","display_name":"Process (computing)","score":0.3237999975681305},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.27639999985694885},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.24379999935626984},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.24320000410079956},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.23720000684261322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4830999970436096},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.24379999935626984},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24320000410079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23880000412464142},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.23720000684261322},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2240999937057495},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.22269999980926514},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2215999960899353}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed69900.2026.11534666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed69900.2026.11534666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 27th International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1529100118","https://openalex.org/W1861489983","https://openalex.org/W2092377129","https://openalex.org/W2103653511","https://openalex.org/W2128174223","https://openalex.org/W2163626738","https://openalex.org/W2248975694","https://openalex.org/W2532625453","https://openalex.org/W3092337895","https://openalex.org/W3137237606","https://openalex.org/W4251327556","https://openalex.org/W4256270623","https://openalex.org/W4282053837","https://openalex.org/W4396949013"],"related_works":[],"abstract_inverted_index":{"STA":[0,19],"tools":[1],"play":[2],"a":[3,37,62,93,113],"critical":[4],"role":[5],"in":[6,88],"signoff,":[7],"requiring":[8],"exceptional":[9],"accuracy":[10,85,124],"to":[11,22,107,134],"ensure":[12],"circuit":[13],"reliability.":[14],"HeXinTimer":[15,122],"is":[16],"an":[17],"industry-grade":[18],"solution":[20],"designed":[21],"support":[23],"advanced":[24],"modeling":[25],"with":[26,53,70],"high":[27],"precision.":[28],"This":[29],"work":[30],"introduces":[31],"the":[32,101],"following":[33],"key":[34],"contributions:":[35],"(1)":[36],"sophisticated":[38],"stage":[39],"delay":[40,90],"calculation":[41],"methodology":[42],"that":[43,65,99],"incorporates":[44],"Composite":[45],"Current":[46],"Source":[47],"(CCS)":[48],"driver":[49],"and":[50,80,86,95,104,111,116],"receiver":[51],"models":[52],"distributed":[54],"RC":[55],"networks,":[56],"achieving":[57],"superior":[58],"timing":[59],"accuracy;":[60],"(2)":[61],"hybrid":[63],"framework":[64,118],"combines":[66],"traditional":[67],"SI":[68],"flow":[69],"AI":[71],"predictors,":[72],"utilizing":[73],"internal":[74],"tool":[75],"data":[76],"for":[77,119],"both":[78],"training":[79],"inference,":[81],"which":[82],"significantly":[83],"enhances":[84],"performance":[87,132],"delta":[89],"estimation;":[91],"(3)":[92],"robust":[94],"efficient":[96],"root-finding":[97],"algorithm":[98],"integrates":[100],"Traub-Ostrowski":[102],"iteration":[103],"bisection":[105],"method":[106],"enhance":[108],"computational":[109],"performance;":[110],"(4)":[112],"stage-based":[114],"testing":[115],"comparison":[117],"comprehensive":[120],"validation.":[121],"achieves":[123],"within":[125],"$3\\%$":[126],"of":[127],"SPICE":[128],"results,":[129],"while":[130],"maintaining":[131],"comparable":[133],"industry-leading":[135],"tools.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-29T00:00:00"}