Do Not Go Gentle Into That Good Night.
--『 Interstellar 』, Dylan Thomas.

Hi, I am now a Ph.D. student at The Chinese University of Hong Kong (CUHK-CSE) advised by Prof. Bei Yu. My research interests include (1) Machine Learning in VLSI Design for Manufacturability, (2) computer vision. I did some work focusing on computational lithography and mask optimization. Now, I am also looking for academic visit or research interns. My open source contributions can be found on my github profile.


Education

2021 - Present Ph.D. in Computer Science, The Chinese University of Hong Kong
2019 - 2020 M.S. in Computer Science, The Chinese University of Hong Kong
2015 - 2019 B.S. in Computer Science, Huazhong University of Science and Technology

Publications

Representative publications that I am a primary author on are highlighted.
[Google Scholar; 24+ citations, h-index: 3+]

2022

[C6] Efficient Point Cloud Analysis Using Hilbert Curve.
Wanli Chen, Xinge Zhu, Guojin Chen, and Bei Yu
ECCV 2022
[C5] AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns [abs]
Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, and Martin Wong
ICCAD 2022

2021

[C4] DevelSet: Deep Neural Level Set for Instant Mask optimization [abs]
Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, and Bei Yu
ICCAD 2021
[C3] Learning Point Clouds in EDA. **(Invited Paper)** [abs]
Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, and Bei Yu
ISPD 2021

2020

[C2] DAMO: Deep Agile Mask Optimization for Full Chip Scale [abs]
Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, and Bei Yu
ICCAD 2020
[C1] A GPU-enabled Level Set Method for Mask Optimization [abs]
Ziyang Yu, Guojin Chen, Yuzhe Ma, and Bei Yu
DATE 2020

Teaching

Python Computing (AIST 1110), TA F2022
Mobile Computing (CSCI 3310), TA S2022
Numerical Optimization (AIST 3010), TA F2021

Skills

Programming C, C++, CUDA, Python, CMake, Golang
Frameworks JAX, NumPy, Pandas, PyTorch, SciPy
Toolbox Linux, vim, evil, org, mu4e, xmonad, git, tmux, zsh

Last updated on 2022-11-24 , thanks to Bamos for the blog template.