Bei Yu Associate Professor Department of Computer Science and Engineering The Chinese University of Hong Kong M.E. (Tsinghua), Ph.D. (Texas) Resume/CV (as of Nov., 2024)

About

I'm an associate 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 electronic design automation (EDA) and computer vision (more about my research). I'm serving as the Editor of IEEE TC-CPS Newsletter, 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, 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.

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 EDA. Besides, currently my group has 1-2 post-doc positions in research field of machine learning in EDA.

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Some recent presentation slides:

• “Large Language Model in EDA” (pdf)

• “EDA for AI Chip Designs” (pdf)

• “Large Scale VLSI Mask Optimization” (pdf)

• “Hardware Friendly Computer Vision” (pdf)

• “Machine Learning in EDA” (2024-pdf) (2023-pdf) (2021-pdf)

• “Placement in Advanced Technology Nodes” (pdf)

A curated paper list of AI x EDA research.

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