Do Not Go Gentle Into That Good Night.--『 Interstellar 』, Dylan Thomas.
Greetings! I’m currently an intern at NVIDIA research, work with Haoyu Yang and Mark Ren. I’m thrilled to have this opportunity to collaborate and expand my research horizons at NVIDIA research. I am also a Ph.D. candidate at The Chinese University of Hong Kong (CUHK-CSE), where I have been fortunate to work with Professor Bei Yu and co-supervised by Professor Martin D. F. Wong.
I’m also maintaining a curated list of AI for EDA papers. Check it out here:
Awesome AI for EDA.
The list is under construction and you are welcomed to submit your publications follow
the instructions.
2024.05 - Present
NVIDIA
Research Scientist Intern |
2023.08 - 2024.5
The University of Texas at Austin
Visiting Ph.D. Student |
2018 - 2019
Tencent
Research Intern |
Representative publications that I am a primary author on are
highlighted.
[Google Scholar; 151+ citations, h-index: 6+]
[Download bibtex for all publications]
[ORCID]
[C15] |
Efficient Bilevel Source Mask Optimization
[bibtex]
[paper] Guojin Chen, Hongquan He, Peng Xu, Hao Geng, and Bei Yu DAC 2024 |
[C14] |
Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer
[bibtex]
Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, and Bei Yu DAC 2024 |
[C13] |
Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation
[bibtex]
Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, and Bei Yu DAC 2024 |
[C12] |
Open-Source Differentiable Lithography Imaging Framework
[bibtex]
[paper] [code] Guojin Chen, Hao Geng, Bei Yu, and David Z. Pan SPIE 2024 |
[C11] |
AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search
[bibtex]
[paper] Zehua Pei, Fangzhou Liu, Zhuolun He, Guojin Chen, Haisheng Zheng, Keren Zhu, and Bei Yu ICCAD 2023 |
[C10] |
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
[bibtex]
[paper] Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, and Martin Wong DAC 2023 (Best score in DFM track.) |
[C9] |
DiffPattern: Layout Pattern Generation via Discrete Diffusion
[bibtex]
[paper] Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, and Bei Yu DAC 2023 |
[C8] |
GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition
[bibtex]
[paper] Guojin Chen, Haoyu Yang, and Bei Yu SPIE 2023 |
[C7] |
Efficient Point Cloud Analysis Using Hilbert Curve.
[bibtex]
[paper] Wanli Chen, Xinge Zhu, Guojin Chen, and Bei Yu ECCV 2022 |
[C6] |
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
[bibtex]
[paper] Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, and Martin Wong ICCAD 2022 |
[C5] |
LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling
[bibtex]
[paper] Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, and Chunjing Xu ICCAD 2022 |
[C4] |
DevelSet: Deep Neural Level Set for Instant Mask optimization
[bibtex]
[abs] [paper] Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, and Bei Yu ICCAD 2021 |
[C3] |
Learning Point Clouds in EDA.
[bibtex]
[abs] [paper] Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, and Bei Yu ISPD 2021 |
[C2] |
DAMO: Deep Agile Mask Optimization for Full Chip Scale
[bibtex]
[abs] [paper] Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, and Bei Yu ICCAD 2020 |
[C1] |
A GPU-enabled Level Set Method for Mask Optimization
[bibtex]
[abs] [paper] Ziyang Yu, Guojin Chen, Yuzhe Ma, and Bei Yu DATE 2020 |
[J6] |
DeepOTF: Learning Equations-constrained Prediction for Electromagnetic Behavior
[bibtex]
Peng Xu, Siyuan Xu, Tinghuan Chen, Guojin Chen, Tsung-Yi Ho, and Bei Yu TODAES 2024 |
[J5] |
Ultra-Fast Source Mask Optimization via Conditional Discrete Diffusion
[bibtex]
[paper] Guojin Chen, Zixiao Wang, Bei Yu, David Z. Pan, and Martin D.F. Wong TCAD 2024 |
[J4] |
L2O-ILT: Learning to Optimize Inverse Lithography Techniques
[bibtex]
[paper] Binwu Zhu, Su Zheng, Ziyang Yu, Guojin Chen, Yuzhe Ma, Fan Yang, Bei Yu, and Martin Wong TCAD 2023 |
[J3] |
A GPU-Enabled Level-Set Method for Mask Optimization
[bibtex]
[paper] Ziyang Yu, Guojin Chen, Yuzhe Ma, and Bei Yu TCAD 2023 |
[J2] |
DevelSet: Deep Neural Level Set for Instant Mask optimization
[bibtex]
[paper] Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, and Bei Yu TCAD 2023 |
[J1] |
DAMO: Deep Agile Mask Optimization for Full-Chip Scale
[bibtex]
[paper] Guojin Chen, Wanli Chen, Qi Sun, Yuzhe Ma, Haoyu Yang, and Bei Yu TCAD 2022 |
1. | 54 | 2024 TorchOPC/TorchLitho Differentiable computational lithography with PyTorch |
2. | 84 | 2023 OpenOPC/OpenILT Open-source inverse lithography technology (ILT) framework |
3. | 95 | 2023 ai4eda/awesome-AI4EDA A curated paper list of existing AI for EDA studies. |
2021-2023 Design Automation Conference (DAC) |
2022-2023 AAAI Conference on Artificial Intelligence (AAAI) |
2022-2023 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) |
Python Computing (AIST 1110), TA | F2022 |
Mobile Computing (CSCI 3310), TA | S2022 |
Numerical Optimization (AIST 3010), TA | F2021 |
Last updated on 2024-05-07 , thanks to Bamos for the blog template.