M.E. (Tsinghua), Ph.D. (Texas)
Associate Professor

Research Areas
  • Applications
  • Artificial Intelligence
    • Deep Learning
  • Computer Engineering
    • Computer Architecture
    • Intelligent System Integration & Design
    • VLSI Computer-Aided Design
  • Rich Media
    • Computer Vision


  • Editor, IEEE Technical Committee on Cyber-Physical Systems (TC-CPS) Newsletter, 2019–present
  • Associate Editor, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2020–present
  • Associate Editor, Integration, the VLSI Journal, 2016–present
  • Associate Editor, IET Cyber-Physical Systems: Theory & Applications, 2016–present


Bei Yu is currently an associate professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He received the Ph.D degree from Electrical and Computer Engineering, University of Texas at Austin, USA in 2014, and the M.S. degree in Computer Science from Tsinghua University, China in 2010. His current research interests include machine learning and combinatorial algorithm with applications in VLSI computer aided design (CAD) and computer vision. He has served as TPC Chair of 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), served in the program committees of DAC, ICCAD, DATE, ASPDAC, ISPD, the editorial boards of ACM Transactions on Design Automation of Electronic Systems (TODAES), Integration, the VLSI Journal, and IET Cyber-Physical Systems: Theory & Applications. He is Editor of IEEE TCCPS Newsletter.

  • Best Paper Award, DATE 2022
  • Best Paper Award, ICCAD 2021
  • Best Paper Award, ASPDAC 2021
  • Best Paper Award, Integration, VLSI Journal 2018
  • Best Paper Award, ISPD 2017
  • Best Paper Award, ICCAD 2013
  • Best Paper Award, ASPDAC 2012
  • Best Student Paper Award, ICTAI 2019