Bei Yu

Bei Yu is a Professor in the Department of Computer Science and Engineering, and Assistant Dean (Mainland Affairs) in the Engineering Faculty, at The Chinese University of Hong Kong. His research interests include machine learning and deep learning with applications in electronic design automation (EDA) and computer vision. He served as TPC Chair of ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) 2019, International Symposium of EDA (ISEDA) 2025 & 2026, ACM International Symposium on Physical Design (ISPD) 2028, and IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC) 2029, in the program committees of DAC, ICCAD, DATE, ASPDAC, ISPD, AAAI, and in the editorial boards of IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ACM Transactions on Design Automation of Electronic Systems (TODAES), and Integration, the VLSI Journal.