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 Sep., 2019)

“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-Chief 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 Integration, the VLSI Journal, 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.

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: H14:30–16:30

Call For Papers / Participation

 

ACM Student Research Competition at ICCAD 2019

Nov. 04, 2019, Westminster, CO, USA

 

Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI).

Oct. 17, 2019, Shenzhen, China.

Recent News

  • July/2019: Graduate students going to oversea as data scientist or research internship: Lu Zhang (Cadence, San Jose site), Yuzhe Ma, Ran Chen, Wanli Chen (Tencent X-Lab), Haoyu Yang (Peking Univ). Wish them a productive summer by working with industry/academic experts.

  • May/2019: I will be serving as TPC Co-Chair of 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD). Please submit an abstract here. See you in Banff this September!

  • Feb/2019: Congratulations to Haoyu Yang for winning very prestigious $10,000 Nick Cobb Memorial Scholarship by SPIE and Mentor Graphics, a Siemens Business, for his contributions to the advanced lithography. (SPIE news) (CUHK-CSE news)

  • Feb/2019: 7 papers accepted by DAC 2019.

  • Jan/2019: Congratulations to Haoyu Yang for winning the best poster award in Student Research Forum at ASPDAC 2019.

  • Jan/2019: Congratulations to Hao Geng and all co-authors, our paper on SRAF insertion receives Best Paper Award Nomination at ASPDAC 2019.

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 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 2017


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