{"id":"https://openalex.org/W4391183656","doi":"https://doi.org/10.1109/asicon58565.2023.10396633","title":"Lithographic Hotspot Detection Using Adaptive Squish Pattern Sampling Combined with Faster R-CNN","display_name":"Lithographic Hotspot Detection Using Adaptive Squish Pattern Sampling Combined with Faster R-CNN","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183656","doi":"https://doi.org/10.1109/asicon58565.2023.10396633"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396633","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10396633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5001359070","display_name":"Jian Cui","orcid":"https://orcid.org/0000-0001-6643-7625"},"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":true,"raw_author_name":"Jian Cui","raw_affiliation_strings":["Southeast University,School of Microelectronics,Nanjing,China","School of Microelectronics, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Microelectronics,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Microelectronics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410025","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-9129-255X"},"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":"Jian Zhang","raw_affiliation_strings":["Southeast University,School of Microelectronics,Nanjing,China","School of Microelectronics, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Microelectronics,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Microelectronics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080025233","display_name":"Xuexiang Wang","orcid":"https://orcid.org/0000-0002-4091-8196"},"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":"Xuexiang Wang","raw_affiliation_strings":["Southeast University,School of Information Engineering,Nanjing,China","School of Information Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University,School of Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Information Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001359070"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18349401,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11338","display_name":"Advancements in Photolithography Techniques","score":1.0,"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/T11338","display_name":"Advancements in Photolithography Techniques","score":1.0,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9988999962806702,"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":0.998199999332428,"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/hotspot","display_name":"Hotspot (geology)","score":0.8188685178756714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561052799224854},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.42166903614997864},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4178972542285919},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36560577154159546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3649364709854126}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.8188685178756714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561052799224854},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.42166903614997864},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4178972542285919},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36560577154159546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3649364709854126},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396633","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10396633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2008176598","https://openalex.org/W2032647444","https://openalex.org/W2092970276","https://openalex.org/W2531057735","https://openalex.org/W2538780316","https://openalex.org/W2625434482","https://openalex.org/W2750396644","https://openalex.org/W2909831073","https://openalex.org/W3028903633","https://openalex.org/W3042783742","https://openalex.org/W3198082118","https://openalex.org/W4206648389","https://openalex.org/W4248241425","https://openalex.org/W6667407495"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640"],"abstract_inverted_index":{"In":[0],"the":[1,61,67,74,116,145,151,160,164],"early":[2],"stages":[3],"of":[4,55,63,69,76,118],"integrated":[5],"circuit":[6],"layout":[7,16,88,105],"design,":[8],"lithographic":[9,56,132],"hotspot":[10,29,57,64,70,77,81,92,112,133,153,156],"detection":[11,30,58,134,141],"is":[12],"employed":[13],"to":[14,44,49,102,128],"identify":[15],"areas":[17],"that":[18],"may":[19],"generate":[20],"manufacturing":[21],"defects,":[22],"thereby":[23],"improving":[24],"chip":[25],"yield.":[26],"Among":[27],"various":[28],"methods,":[31],"those":[32],"based":[33,95],"on":[34,96],"machine":[35],"learning":[36],"have":[37],"received":[38],"widespread":[39],"research":[40],"and":[41,73,110,123,149,170],"application":[42,126],"due":[43],"their":[45],"outstanding":[46],"performance":[47],"compared":[48],"other":[50],"techniques.":[51],"The":[52],"core":[53],"challenges":[54],"lie":[59],"in":[60],"speed":[62],"data":[65,82,93,162],"acquisition,":[66,83],"effectiveness":[68],"feature":[71],"extraction,":[72],"accuracy":[75],"detection.":[78,157],"To":[79,107,136],"accelerate":[80],"this":[84],"paper":[85],"proposes":[86],"a":[87,130,138],"indexing":[89],"method":[90],"for":[91,155,168],"extraction":[94],"grid":[97],"indexing,":[98],"which":[99],"allows":[100],"us":[101],"quickly":[103],"obtain":[104,108],"data.":[106],"effective":[109],"streamlined":[111],"features,":[113],"we":[114,143],"employ":[115],"concept":[117],"adaptive":[119],"squish":[120],"pattern":[121],"sampling":[122],"expand":[124],"its":[125],"scope":[127],"achieve":[129,171],"larger":[131],"range.":[135],"construct":[137],"more":[139],"precise":[140],"model,":[142],"use":[144,159],"Faster":[146],"R-CNN":[147],"model":[148],"input":[150],"extracted":[152],"features":[154],"We":[158],"benchmark":[161],"from":[163],"ICCAD":[165],"2012":[166],"competition":[167],"testing":[169],"satisfactory":[172],"results.":[173]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
