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 Aug., 2024)

“If I knew what I was doing, it wouldn't be called research.” - Albert Einstein.

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.

Asking for Recommendation Letters? Please read these conditions and details.

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.

Contact

E-mail: byu[at]cse.cuhk.edu.hk
Phone: (852)-3943-8435 (hardly reachable, email better)
Fax: (852)-2603-5024
Office: Rm907, Ho Sin Hang Engineering Building (map: by-walking; by-shuttle)
Consultation Hours: Monday 15:00–16:00 (by appointment or Zoom: https://cuhk.zoom.us/j/91451203243)

Recent News

Selected Awards

Best Paper Award ICCAD 2024
Best Paper Award IEEE TSM 2022
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
Best Student Paper Award SPIE 2016
Best Paper Award Nomination ICCAD 2024
Best Paper Award Nomination ISPD 2024
Best Paper Award Nomination ASPDAC 2023
Best Paper Award Nomination MLCAD 2022
Best Paper Award Nomination DATE 2021
Best Paper Award Nomination ASPDAC 2019
Best Paper Award Nomination DAC 2014
Best Paper Award Nomination ASPDAC 2013
Best Paper Award Nomination ICCAD 2011
Research Fellow Scheme (RFS) RGC 2024
Under-40 Innovator Award DAC 2024
Distinguished Lecturer IEEE CEDA 2024
Mid-Career Award IEEE TCSDM 2022
Ernest S. Kuh Early Career Award IEEE CEDA 2022
Meritorious Service Award ACM SIGDA 2021
Outstanding Dissertation Award EDAA 2014
Outstanding Students Abroad Award China Scholarship Council 2014
SPIE Scholarship SPIE 2013
IBM Ph.D. Scholarship IBM 2012
1st Place Award in CAD Contest ICCAD 2015
2nd Place Award in CAD Contest ICCAD 2024
2nd Place Award in CAD Contest ICCAD 2018
2nd Place Award in CAD Contest ICCAD 2013
2nd Place Award in CAD Contest ICCAD 2012
3rd Place Award in CAD Contest ICCAD 2022
3rd Place Award in ISPD Contest ISPD 2020
3rd Place Award in ISPD Contest ISPD 2017
2nd Place Award in ICDAR Competition ICDAR 2021


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