Publications¶
- 3D Gaussian Splatting with Grouped Uncertainty for Unconstrained Images
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Hao-Yu Hou, Chia-Chi Hsu, Yu-Chen Huang, Mu-Yi Shen, Wei-Fang Sun, Cheng Sun, Chia-Che Chang, Yu-Lun Liu, Chun-Yi Lee - PCIe Bandwidth-Aware Scheduling for Multi-Instance GPU
International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia), 2025
Yan-Mei Tang, Wei-Fang Sun, Hsu-Tzu Ting, Ming-Hung Chen, I-Hsin Chung, Jerry Chou - Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering
Preprint, 2024
I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee
[arXiv] - Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Conference on Neural Information Processing Systems (NeurIPS), 2024
Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
[arXiv] [website] [video] [code]
- Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning
International Conference on Intelligent Robots and Systems (IROS), 2024
Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee
[paper] [website] [video]
- 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] [website] [video] [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] [website] [video] [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] [website] [video] [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] [website] [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] [website]
For more publication details, please refer to my Google Scholar profile.