Hello, I'm a student pursuing Master's degree in Computer Science (CS) at National Tsing Hua University (NTHU).
I develop software and tools in my free time:
If you often read papers on arXiv, arxiv-utils can improve your user experience.
If you use TensorBoard for logging, tbparse can parse the logged events for you.
I'm currently interested in Reinforcement Learning (RL) & Robotics,
and conduct research under the joint lab of ElsaLab@NTHU & NVIDIA AI Technology Center (NVAITC).
Click here for a list of my publications.
If you have any question or just want to say hi, feel free to email me!
Experiences
Employment
Deep Learning Intern at NVIDIA (Nov. 2019 - Present)
Conduct research on Reinforcement Learning (RL) / Robotics.
Penetration Tester at NTHU (Oct. 2019 - Dec. 2022)
Find vulnerabilities and provide solutions.
Research Assistant at NTHU (Mar. - Jun. 2019)
Work on Continuous Deployment (CD) for Raspberry Pi.
Teaching Assistant at NTHU (2018 - 2021)
Deep Reinforcement Learning (Spring 2021)
Introduction to Parallel Programming (Spring 2021)
Design and Analysis of Algorithms (Fall 2019)
Logic Design Laboratory (Fall 2019)
Introduction to Programming I & II (Fall 2018 - Fall 2020)
Education
National Tsing Hua University (Sept. 2017 - Present)
Pursuing M.S. in Computer Science.
B.S. in Computer Science. (Graduated in June 2021)
Taipei Municipal Jianguo High School (Sept. 2014 - Sept. 2017)
Honors & Awards
Dr. Mei Yi-Chi Memorial Prize (2021)
The highest honor for college graduates at NTHU.
Student Cluster Competition (SCC19) (2019)
2nd highest total score out of 16 teams worldwide, competed in Denver, US.
Course Project Competitions (2017 - 2021)
1st place in 5 course project compeititions.
Additional Experiences
Lead of Development of Mei-Chu Hackathon (2019)
I managed 10 people to develop 4 projects for the main event, and assisted 6 companies in holding pre-hackathon workshops & determining their hackathon theme.
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao,
Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee,
"COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU,"
accepted as regular paper in Asia and South Pacific Design Automation Conference (ASP-DAC), 2023.
(peer-reviewed, proceeding: TBA)
SASIMI 2022
Hardware Design
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao,
Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee,
"Remote Access Tag Array for Efficient GPU Intra-Cluster Data Sharing,"
accepted as short paper in Synthesis and System Integration of Mixed Information Technologies Workshop (SASIMI), 2022.
(peer-reviewed, proceeding: SASIMI)
ICLR 2022 & GTC 2022
Generative Models
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng,
Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee,
"Denoising Likelihood Score Matching for Class-conditional Iterative Image Generation,"
accepted as full paper in International Conference on Learning Representations (ICLR), 2022.
(peer-reviewed, proceeding: Open Review,
arXiv,
Code on GitHub)
ICML 2021
Reinforcement Learning
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee,
"DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning,"
accepted as spotlight paper in International Conference on Machine Learning (ICML), 2021.
(peer-reviewed, presented online, proceeding: PMLR,
arXiv,
Code on GitHub)
AAMAS 2021 & GTC 2021
Reinforcement Learning
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee,
"A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning,"
accepted as extended abstract in International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2021.
(peer-reviewed, presented online, DOI: 10.5555/3463952.3464196,
proceeding: IFAAMAS)
IEEE TPDS 2020
High Performance Computing
Wei-Fang Sun, Hung-Hsin Chen, Shao-Fu Lin, Yuan-Ching Lin, Jing-Wei Wu, En-Te Lin, Jerry Chou,
"Critique of Computing Planetary Interior Normal Modes with a Highly Parallel Polynomial Filtering Eigensolver by SCC Team from National Tsing Hua University,"
accepted as full paper in IEEE Transactions on Parallel and Distributed Systems (TPDS) Special Issue on the Reproducibility Challenge, 2020.
(peer-reviewed, presented in Denver, U.S., DOI:10.1109/TPDS.2021.3051725)
EWiLi 2019 (ESWeek)
Embedded Systems
Wei-Fang Sun, Shih-Hsien Chan, Zhe-Ting Liu, Yu-Hung Yeh, Pai H. Chou,
"Quatros: A Preemptive Multithreaded Embedded OS for Education,"
accepted as full paper in Embedded Operating Systems Workshop (EWiLi), 2019.
(peer-reviewed, presented in New York, U.S., DOI: 10.1145/3412821.3412829)