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 Jul., 2020)

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

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

Some recent presentation slides:

  • “Deep Neural Network Design Automation” (pdf)

  • “Machine Learning in EDA” (pdf)

  • “VLSI Mask Optimization: From a Deep Learning Perspective” (pdf)

Contact

E-mail: byu[at]cse.cuhk.edu.hk
Phone: (852)-3943-8435
Fax: (852)-2603-5024
Office: Rm914 Rm907, Ho Sin Hang Engineering Building (map: by-walking; by-shuttle)
Consultation Hours: H16:30–18:30

Recent News

  • Jun/2020: 3rd Place Award in ISPD 2020 Contest: congratulations to Leon and the whole team (photo).

  • Jan/2020: Congratulations to Yuzhe Ma for winning the best poster award in Student Research Forum at ASPDAC 2020 (photo).

  • Nov/2019: Congratulations to Yuzhe Ma and all co-authors, our paper on DNN compression and acceleration receives Best Student Paper Award at ICTAI 2019. (photo) (CUHK-CSE news)

Selected Awards

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 ASPDAC 2019
Best Paper Award Nomination DAC 2014
Best Paper Award Nomination ASPDAC 2013
Best Paper Award Nomination ICCAD 2011
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 2018
2nd Place Award in CAD Contest ICCAD 2013
2nd Place Award in CAD Contest ICCAD 2012
3rd Place Award in ISPD Contest ISPD 2020
3rd Place Award in ISPD Contest ISPD 2017


My Calendar