{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:23Z","timestamp":1750220603352,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,1,18]],"date-time":"2021-01-18T00:00:00Z","timestamp":1610928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003200","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["109-2636-E-011-002"],"award-info":[{"award-number":["109-2636-E-011-002"]}],"id":[{"id":"10.13039\/501100003200","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,1,18]]},"DOI":"10.1145\/3394885.3431564","type":"proceedings-article","created":{"date-parts":[[2021,1,29]],"date-time":"2021-01-29T11:32:46Z","timestamp":1611919966000},"page":"678-683","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning-based Structural Pre-route Insertability Prediction and Improvement with Guided Backpropagation"],"prefix":"10.1145","author":[{"given":"Tao-Chun","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shao-Yun","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hsien-Shih","family":"Chiu","sequence":"additional","affiliation":[{"name":"Synopsys Taiwan Co., Ltd., Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai-Shun","family":"Hu","sequence":"additional","affiliation":[{"name":"Synopsys Taiwan Co., Ltd., Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chin-Hsiung","family":"Hsu","sequence":"additional","affiliation":[{"name":"Synopsys Taiwan Co., Ltd., Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip Hui-Yuh","family":"Tai","sequence":"additional","affiliation":[{"name":"Synopsys, Inc., USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cindy Chin-Fang","family":"Shen","sequence":"additional","affiliation":[{"name":"Synopsys Taiwan Co., Ltd., Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,1,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317876"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317803"},{"key":"e_1_3_2_1_3_1","volume-title":"Design Automation Conference (DAC)","author":"Barboza E. C.","year":"2019","unstructured":"E. C. Barboza , N. Shukla , Y. Chen , and J. Hu . \" Machine Learning-Based Pre-Routing Timing Prediction with Reduced Pessimism,\" in Proc . Design Automation Conference (DAC) , 2019 . E. C. Barboza, N. Shukla, Y. Chen, and J. Hu. \"Machine Learning-Based Pre-Routing Timing Prediction with Reduced Pessimism,\" in Proc. Design Automation Conference (DAC), 2019."},{"key":"e_1_3_2_1_4_1","volume-title":"Automation and Test in Europe Conference and Exhibition (DATE)","author":"Huang Y. H.","year":"2019","unstructured":"Y. H. Huang , Z. Xie , G. Q. Fang , T. C. Yu , H. Ren , S. Y. Fang , Y. Chen , and J. Hu . \" Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model,\" in Proc. Design , Automation and Test in Europe Conference and Exhibition (DATE) , 2019 . Y. H. Huang, Z. Xie, G. Q. Fang, T. C. Yu, H. Ren, S. Y. Fang, Y. Chen, and J. Hu. \"Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model,\" in Proc. Design, Automation and Test in Europe Conference and Exhibition (DATE), 2019."},{"key":"e_1_3_2_1_5_1","volume-title":"International Symposium on Physical Design (ISPD)","author":"Chan W. T. J.","year":"2017","unstructured":"W. T. J. Chan , P.-H. Ho , A. B. Kahng , and P. Saxena . \" Routability Optimization for Industrial Designs at Sub-14nm Process Nodes Using Machine Learning,\" in Proc . International Symposium on Physical Design (ISPD) , 2017 . W. T. J. Chan, P.-H. Ho, A. B. Kahng, and P. Saxena. \"Routability Optimization for Industrial Designs at Sub-14nm Process Nodes Using Machine Learning,\" in Proc. International Symposium on Physical Design (ISPD), 2017."},{"key":"e_1_3_2_1_6_1","volume-title":"Asia Symposium on Quality Electronic Design (ASQED)","author":"Zhou Q.","year":"2015","unstructured":"Q. Zhou , X. Wang , Z. Qi , Z. Chen , Q. Zhou , and Y. Cai . \" An Accurate Detailed Routing Routability Prediction Model in Placement,\" in Proc . Asia Symposium on Quality Electronic Design (ASQED) , 2015 . Q. Zhou, X. Wang, Z. Qi, Z. Chen, Q. Zhou, and Y. Cai. \"An Accurate Detailed Routing Routability Prediction Model in Placement,\" in Proc. Asia Symposium on Quality Electronic Design (ASQED), 2015."},{"key":"e_1_3_2_1_7_1","volume-title":"Design Automation Conference (DAC)","author":"Tabrizi A. F.","year":"2018","unstructured":"A. F. Tabrizi , N. K. Darav , S. Xu , L. Rakai , I. Bustany , A. Kennings and, L. Behjat . \" A Machine Learning Framework to Identify Detailed Routing Short Violations from a Placed Netlist,\" in Proc . Design Automation Conference (DAC) , 2018 . A. F. Tabrizi, N. K. Darav, S. Xu, L. Rakai, I. Bustany, A. Kennings and, L. Behjat. \"A Machine Learning Framework to Identify Detailed Routing Short Violations from a Placed Netlist,\" in Proc. Design Automation Conference (DAC), 2018."},{"key":"e_1_3_2_1_8_1","volume-title":"International Conference on Computer Design (ICCD)","author":"Qi Z.","year":"2014","unstructured":"Z. Qi , Y. Cai and Q. Zhou . \" Accurate Prediction of Detailed Routing Congestion using Supervised Data Learning,\" in Proc . International Conference on Computer Design (ICCD) , 2014 . Z. Qi, Y. Cai and Q. Zhou. \"Accurate Prediction of Detailed Routing Congestion using Supervised Data Learning,\" in Proc. International Conference on Computer Design (ICCD), 2014."},{"key":"e_1_3_2_1_9_1","volume-title":"Design Automation Conference (DAC)","author":"Yu T. C.","year":"2019","unstructured":"T. C. Yu , S. Y. Fang , H. S. Chiu , K. S. Hu , P. H. Y. Tai , C. C. F. Shen , and H. Sheng . \" Pin Accessibility Prediction and Optimization with Deep Learning-based Pin Pattern Recognition,\" in Proc . Design Automation Conference (DAC) , 2019 . T. C. Yu, S. Y. Fang, H. S. Chiu, K. S. Hu, P. H. Y. Tai, C. C. F. Shen, and H. Sheng. \"Pin Accessibility Prediction and Optimization with Deep Learning-based Pin Pattern Recognition,\" in Proc. Design Automation Conference (DAC), 2019."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI-DAT.2017.7939657"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Computer Design (ICCD)","author":"Chan W. T. J.","year":"2016","unstructured":"W. T. J. Chan , Y. Du , A. B. Kahng , S. Nath and K. Samadi . \" BEOL Stack-aware Routability Prediction from Placement Using Data Mining Techniques,\" in Proc . International Conference on Computer Design (ICCD) , 2016 . W. T. J. Chan, Y. Du, A. B. Kahng, S. Nath and K. Samadi. \"BEOL Stack-aware Routability Prediction from Placement Using Data Mining Techniques,\" in Proc. International Conference on Computer Design (ICCD), 2016."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240843"},{"key":"e_1_3_2_1_13_1","volume-title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps,\" in arXiv:1312.6034, also appeared at ICLR Workshop","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan , A. Vedaldi , and A. Zisserman . \" Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps,\" in arXiv:1312.6034, also appeared at ICLR Workshop 2014 , 2014. URL http:\/\/arxiv.org\/abs\/1312.6034. K. Simonyan, A. Vedaldi, and A. Zisserman. \"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps,\" in arXiv:1312.6034, also appeared at ICLR Workshop 2014, 2014. URL http:\/\/arxiv.org\/abs\/1312.6034."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"e_1_3_2_1_15_1","volume-title":"Striving for Simplicity: The All Convolutional Net,\" arXiv:1412.6806","author":"Springenberg J. T.","year":"2014","unstructured":"J. T. Springenberg , A. Dosovitskiy , T. Brox , and M. Riedmiller . \" Striving for Simplicity: The All Convolutional Net,\" arXiv:1412.6806 . 2014 . 5 J. T. Springenberg, A. Dosovitskiy, T. Brox, and M. Riedmiller. \"Striving for Simplicity: The All Convolutional Net,\" arXiv:1412.6806. 2014. 5"},{"key":"e_1_3_2_1_16_1","unstructured":"Tensorflow C++ Reference. https:\/\/www.tensorflow.org\/api_docs\/cc\/  Tensorflow C++ Reference. https:\/\/www.tensorflow.org\/api_docs\/cc\/"}],"event":{"name":"ASPDAC '21: 26th Asia and South Pacific Design Automation Conference","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CAS","IEEE CEDA"],"location":"Tokyo Japan","acronym":"ASPDAC '21"},"container-title":["Proceedings of the 26th Asia and South Pacific Design Automation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394885.3431564","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394885.3431564","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:02Z","timestamp":1750195922000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394885.3431564"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,18]]},"references-count":16,"alternative-id":["10.1145\/3394885.3431564","10.1145\/3394885"],"URL":"https:\/\/doi.org\/10.1145\/3394885.3431564","relation":{},"subject":[],"published":{"date-parts":[[2021,1,18]]},"assertion":[{"value":"2021-01-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}