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Bei YuAssociate Professor
Resume/CV (as of Feb., 2023) |
About
I'm an associate professor in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, and a member of Deep Vision Lab. 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, 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 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:
“Hardware Friendly Computer Vision” (pdf)
“Machine Learning in EDA” (pdf)
“Design for Manufacturability: From Layout To Chip” (pdf)
“Placement in Advanced Technology Nodes” (pdf)
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: | Thursday 14:30–16:30 (by appointment or Zoom: https://cuhk.zoom.us/j/91451203243) |
Recent News
Jan/2023: Congratulations to Jianwang Zhai and all co-authors, our paper on RISC-V architecture modeling receives Best Paper Award Nomination at ASPDAC 2023!
Dec/2022: IEEE TCSDM Mid-Career Award, “for outstanding contributions to methodologies, algorithms and tools of machine learning in Computer System Design”. (TCSDM webpage)
Oct/2022: IEEE CEDA Ernest S. Kuh Early Career Award, “for contributions to machine learning in physical design and design for manufacturability”. (photo1) (CEDA webpage) (twitter) (linkedin) (UT ECE news)
Seg/2022: Congratulations to Binwu Zhu and all co-authors, our paper on Design Rule Checking (DRC) receives Best Paper Award Nomination at MLCAD 2022!
Jun/2022: Congratulations to Wei Li for receiving the Faculty's Outstanding Thesis Award 2021! (CUHK-CSE news)
Mar/2022: Hao Geng (PhD, 2021) will join ShanghaiTech University, as a tenure-track Assistant Professor. Congratulations!
Mar/2022: Congratulations to Siting Liu and all co-authors, our paper FastGR receives Best Paper Award at DATE 2022! (photo) (CUHK-CSE news)
Nov/2021: Congratulations to Chen Bai and all co-authors, our paper on RISC-V BOOM Microarchitecture Design Space Exploration receives William J. McCalla Best Paper Award at ICCAD 2021! (photo1) (photo2) (CUHK-CSE news) (jiqizhixin-news)
Nov/2021: Yuzhe Ma (PhD, 2020) will join Hong Kong University of Science and Technology (Guangzhou), as a tenure-track Assistant Professor. Congratulations!
Nov/2021: Congratulations to Qi Sun for winning the ICCAD 2021 Student Research Competition Third Place in Graduate Category, for his work titled ‘‘Fast and Efficient Deployment of Deep Learning Algorithms via Learning-based Methods’’. (photo).
Nov/2021: 9 papers accepted by ICCAD 2021.
Oct/2021: 3 papers accepted by ICCV 2021.
Sep/2021: 2nd Place Award at ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment Task 3.1 (photo).
Selected Awards
| 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 | 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 |
| Mid-Career Award | TCSDM | 2022 |
| Ernest S. Kuh Early Career Award | CEDA | 2022 |
| Meritorious Service Award | 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 | 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 |
| 2nd Place Award in ICDAR Competition | ICDAR | 2021 |
My Calendar