{"id":"https://openalex.org/W4404134168","doi":"https://doi.org/10.1145/3649329.3658479","title":"LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding","display_name":"LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404134168","doi":"https://doi.org/10.1145/3649329.3658479"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3658479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3658479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","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/A5115600637","display_name":"Yuyang Chen","orcid":"https://orcid.org/0009-0009-0143-0719"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuyang Chen","raw_affiliation_strings":["Shanghaitech University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghaitech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104091958","display_name":"Yiwen Wu","orcid":"https://orcid.org/0000-0003-3653-0444"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Wu","raw_affiliation_strings":["ShanghaiTech University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639523","display_name":"Jingya Wang","orcid":"https://orcid.org/0000-0003-1122-0634"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingya Wang","raw_affiliation_strings":["ShanghaiTech University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103108204","display_name":"Tao Wu","orcid":"https://orcid.org/0000-0003-1563-2994"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["ShanghaiTech University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015970030","display_name":"Xuming He","orcid":"https://orcid.org/0000-0003-2150-1237"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming He","raw_affiliation_strings":["ShanghaiTech University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049850790","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0002-8580-0036"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["ShanghaiTech University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101413344","display_name":"Hao Geng","orcid":"https://orcid.org/0000-0002-0943-7714"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210114190","display_name":"Shanghai Zhangjiang Laboratory","ror":"https://ror.org/0208qbg77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Geng","raw_affiliation_strings":["ShanghaiTech University, Shanghai, Shanghai, China","Zhangjiang Laboratory, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Zhangjiang Laboratory, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210114190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5115600637"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":1.9247,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87399196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.986299991607666,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.986299991607666,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9728000164031982,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9460999965667725,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.7219254970550537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6803051829338074},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4528433382511139},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4127342700958252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3105383515357971},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15019512176513672},{"id":"https://openalex.org/keywords/geophysics","display_name":"Geophysics","score":0.10209283232688904}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.7219254970550537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803051829338074},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4528433382511139},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4127342700958252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3105383515357971},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15019512176513672},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.10209283232688904}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649329.3658479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3658479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","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":15,"referenced_works":["https://openalex.org/W2008176598","https://openalex.org/W2068961782","https://openalex.org/W2072675230","https://openalex.org/W2092719971","https://openalex.org/W2092970276","https://openalex.org/W2625434482","https://openalex.org/W2804151869","https://openalex.org/W2896457183","https://openalex.org/W2918342466","https://openalex.org/W2946443981","https://openalex.org/W2979826702","https://openalex.org/W3111269108","https://openalex.org/W3135367836","https://openalex.org/W4280510627","https://openalex.org/W4312121035"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2379637199","https://openalex.org/W2405057786","https://openalex.org/W2501832907","https://openalex.org/W2063054109","https://openalex.org/W2079602762","https://openalex.org/W2580355466","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Layout":[0],"hotspot":[1,113],"detection":[2,28,114],"approaches":[3],"are":[4,24,118],"challenged":[5],"by":[6,125],"the":[7,62,67,84,88,91,105,147,155,161,170],"time-to-market":[8],"constraint":[9],"and":[10,21,57,93,133,160,172],"complex":[11],"designs":[12],"under":[13],"rapid":[14],"downscaling":[15],"of":[16,41,72,90,98],"technology":[17],"nodes.":[18],"Pattern":[19],"matching":[20],"learning-based":[22],"detectors":[23,33],"proposed":[25,148],"as":[26,45,77],"quick":[27],"methods.":[29],"These":[30],"layout":[31,42,112],"image-based":[32],"use":[34],"images":[35],"transformed":[36],"from":[37],"binary":[38,122],"database":[39,123],"files":[40,124],"like":[43],"GDSII":[44],"their":[46],"inputs.":[47],"Italy":[48],"leads":[49],"to":[50,65],"foreground":[51],"information":[52,75],"(e.g.,":[53],"metal":[54,157],"polygons)":[55],"loss":[56],"even":[58],"distortion":[59],"when":[60],"shrinking":[61],"image":[63],"size":[64],"fit":[66],"approach":[68],"input.":[69],"Moreover,":[70],"plenty":[71],"irrelevant":[73],"background":[74],"such":[76],"non-polygon":[78],"pixels":[79],"is":[80],"also":[81],"fed":[82],"into":[83],"model,":[85],"which":[86,168],"hinders":[87],"fitting":[89],"model":[92],"results":[94,152],"in":[95],"a":[96,110,127,134],"waste":[97],"computational":[99],"resources.":[100],"In":[101],"this":[102],"work,":[103],"for":[104],"first":[106],"time,":[107],"we":[108],"propose":[109],"new":[111],"paradigm,":[115],"where":[116],"hotspots":[117],"directly":[119],"detected":[120],"on":[121,153],"exploiting":[126],"hierarchical":[128],"GDS":[129],"semantic":[130],"representation":[131],"scheme":[132],"well-designed":[135],"pre-trained":[136],"natural":[137],"language":[138],"processing":[139],"(NLP)":[140],"model.":[141],"Compared":[142],"with":[143],"state-of-the-art":[144],"(SOTA)":[145],"works,":[146],"detector":[149],"achieves":[150],"better":[151],"both":[154],"ICCAD2012":[156],"layer":[158,166],"benchmark":[159],"more":[162],"challenging":[163],"ICCAD2020":[164],"via":[165],"benchmark,":[167],"demonstrates":[169],"effectiveness":[171],"efficiency.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
