Publications

• DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
  IEEE International Conference on Robotics and Automation (ICRA) RoboNerF Workshop, 2024
  Mu-Yi Shen, Chia-Chi Hsu, Hao-Yu Hou, Yu-Chen Huang, Wei-Fang Sun, Chia-Che Chang, Yu-Lun Liu, Chun-Yi Lee
  [arXiv] [website]
  
• Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
  International Conference on Machine Learning (ICML), 2024
  Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee
  [arXiv] [code]
  
• Training Energy-Based Normalizing Flow with Score-Matching Objectives
  Conference on Neural Information Processing Systems (NeurIPS), 2023
  Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
  [OpenReview] [arXiv] [code]
  
• A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
  Journal of Machine Learning Research (JMLR), 2023
  Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
  [paper] [arXiv] [code]
  
• On Investigating the Conservative Property of Score-Based Generative Models
  International Conference on Machine Learning (ICML), 2023
  Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
  [paper] [OpenReview] [arXiv] [code]
  
• COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU
  Asia and South Pacific Design Automation Conference (ASP-DAC), 2023
  Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee
  [paper]
  
• Remote Access Tag Array for Efficient GPU Intra-Cluster Data Sharing
  Synthesis and System Integration of Mixed Information Technologies Workshop (SASIMI), 2022
  Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee
  [paper]
  
• Denoising Likelihood Score Matching for Class-conditional Iterative Image Generation
  International Conference on Learning Representations (ICLR), 2022
  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
  [paper] [arXiv] [code]
  
• DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
  International Conference on Machine Learning (ICML), 2021 [Spotlight]
  Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
  [paper] [arXiv] [code]
  
• A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning
  International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2021
  Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
  [paper] [paper]
  
• Critique of Computing Planetary Interior Normal Modes with a Highly Parallel Polynomial Filtering Eigensolver by SCC Team from National Tsing Hua University
  IEEE Transactions on Parallel and Distributed Systems (TPDS) Special Issue on the Reproducibility Challenge, 2020
  Wei-Fang Sun, Hung-Hsin Chen, Shao-Fu Lin, Yuan-Ching Lin, Jing-Wei Wu, En-Te Lin, Jerry Chou
  [paper]
  
• Quatros: A Preemptive Multithreaded Embedded OS for Education
  Embedded Operating Systems Workshop (EWiLi), 2019
  Wei-Fang Sun, Shih-Hsien Chan, Zhe-Ting Liu, Yu-Hung Yeh, Pai H. Chou
  [paper]
  

For more publication details, please refer to my Google Scholar profile.