Bei Yu Assistant Professor Department of Computer Science and Engineering The Chinese University of Hong Kong M.E. (Tsinghua), Ph.D. (Texas) Resume/CV (as of Feb., 2021)

About

I'm an assistant professor in the Department of Computer Science and Engineering, The Chinese University of Hong Kong. My research interests include machine learning and deep learning with applications in VLSI computer aided design (CAD) and computer vision (more about my research). I'm serving as the Editor of IEEE TC-CPS Newsletter. I also have served as TPC Co-Chair of ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) 2019, in the program committees of DAC, ICCAD, DATE, ASPDAC, ISPD, and in the editorial boards of ACM Transactions on Design Automation of Electronic Systems (TODAES), Integration, the VLSI Journal, and IET Cyber-Physical Systems: Theory & Applications.

I am always looking for motivated graduate students with background in computer science, microelectronics, electronic engineering, or mathematics, working on research fields of 1) hardware friendly computer vision; and/or 2) machine learning in VLSI CAD. Besides, currently my group has 1-2 post-doc positions in research field of machine learning in VLSI CAD.

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Some recent presentation slides:

• “Deep Neural Network Design Automation” (pdf)

• “Machine Learning in EDA” (pdf)

• “VLSI Mask Optimization: From Shallow To Deep Learning” (pdf)

Contact

Call For Papers / Participation

IEEE Design & Test Special Issue on Machine Learning for CAD / EDA Submission deadline: Mar. 31, 2021

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