David Zhigang Pan
Professor, Department of Electrical & Computer Engineering
Biying Xu, Yibo Lin, Xiyuan Tang, Shaolan Li, Linxiao Shen, Nan Sun and David Z. Pan. June 2019. "WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout". Las Vegas, Nevada.
Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing Ren, Brucek Khailany and David Z. Pan. June 2019. "DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement ". Las Vegas, Nevada.
Wei Ye, Mohamed Baker Alawieh, Yibo Lin, and David Z. Pan. June 2019. "LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks ". Las Vegas, Nevada.
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang and David Z. Pan. June 2019. "GAN-SRAF: Sub-Resolution Assist Feature Generation using Conditional Generative Adversarial Networks". Las Vegas, Nevada.
Mohamed Baker Alawieh, Sinead Williamson and David Z. Pan. June 2019. "Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models". Las Vegas, Nevada.
Awards & Honors
2018 - Best Paper Award, 28th ACM Great Lakes Symposium
2018 - Best Paper Award, Integration - the VLSI Journal
2017 - Best Paper Award, IEEE International Symposium
2017 - ACM ISPD Contest: First Place
2017 - SPIE Fellow
2016 - ACM International Symposium on Physical Design Contest: First Place
2016 - Franco Cerrina Memorial Best Student Paper Award, SPIE Advanced Lithography
2015 - Best in Session Award, SRC Techcon
2015 - ASP-DAC Frequently Cited Author Award
2015 - ASP-DAC 10-Year Retrospective Most Influential Paper Award Candidate