Quatros: a preemptive multithreaded embedded OS for education. - Wei-Fang Sun; Shih-Hsien Chan; Zhe-Ting Liu; Yu-Hung Yeh; Pai H. Chou (SIGBED Rev., 2020)

A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Chun-Yi Lee (AAMAS, 2021)

DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Chun-Yi Lee (ICML, 2021)

Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From National Tsing Hua University. - Wei-Fang Sun; Hung-Hsin Chen; ShaoFu Lin; YuanChing Lin; Jing-Wei Wu; En-Te Lin; Jerry Chou 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Denoising Likelihood Score Matching for Conditional Score-based Data Generation. - Chen-Hao Chao; Wei-Fang Sun; Bo-Wun Cheng; Yi-Chen Lo; Chia-Che Chang; Yu-Lun Liu 001; Yu-Lin Chang; Chia-Ping Chen; Chun-Yi Lee (ICLR, 2022)

Quasi-Conservative Score-based Generative Models. - Chen-Hao Chao; Wei-Fang Sun; Bo-Wun Cheng; Chun-Yi Lee (CoRR, 2022)

COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU. - Bo-Wun Cheng; En-Ming Huang; Chen-Hao Chao; Wei-Fang Sun; Tsung Tai Yeh; Chun-Yi Lee (ASP-DAC, 2023)

On Investigating the Conservative Property of Score-Based Generative Models. - Chen-Hao Chao; Wei-Fang Sun; Bo-Wun Cheng; Chun-Yi Lee (ICML, 2023)

Training Energy-Based Normalizing Flow with Score-Matching Objectives. - Chen-Hao Chao; Wei-Fang Sun; Yen-Chang Hsu; Zsolt Kira; Chun-Yi Lee (NeurIPS, 2023)

A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Simon See; Chun-Yi Lee (J. Mach. Learn. Res., 2023)

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning. - Chia-Cheng Chiang; Li-Cheng Lan; Wei-Fang Sun; Chien Feng; Cho-Jui Hsieh; Chun-Yi Lee (ICML, 2024)

Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning. - Hsu-Shen Liu; So Kuroki; Tadashi Kozuno; Wei-Fang Sun; Chun-Yi Lee (IROS, 2024)

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. - Chen-Hao Chao; Chien Feng; Wei-Fang Sun; Cheng-Kuang Lee; Simon See; Chun-Yi Lee (NeurIPS, 2024)

DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation. - Mu-Yi Shen; Chia-Chi Hsu; Hao-Yu Hou; Yu-Chen Huang; Wei-Fang Sun; Chia-Che Chang; Yu-Lun Liu 001; Chun-Yi Lee (CoRR, 2024)

Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering. - I-Chun Chen; Hsu-Shen Liu; Wei-Fang Sun; Chen-Hao Chao; Yen-Chang Hsu; Chun-Yi Lee (CoRR, 2024)

PCIe Bandwidth-Aware Scheduling for Multi-Instance GPUs. - Yan-Mei Tang; Wei-Fang Sun; Hsu-Tzu Ting; Ming-Hung Chen; I-Hsin Chung; Jerry Chou 001 (HPC Asia, 2025)

3D Gaussian Splatting with Grouped Uncertainty for Unconstrained Images. - Hao-Yu Hou; Chia-Chi Hsu; Yu-Chen Huang; Mu-Yi Shen; Wei-Fang Sun; Cheng Sun 004; Chia-Che Chang; Yu-Lun Liu 001; Chun-Yi Lee (ICASSP, 2025)

Enhancing Memory and Imagination Consistency in Diffusion-based World Models via Linear-Time Sequence Modeling. - Jia-Hua Lee; Bor-Jiun Lin; Wei-Fang Sun; Chun-Yi Lee (CoRR, 2025)

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking. - Chen-Hao Chao; Wei-Fang Sun; Hanwen Liang; Chun-Yi Lee; Rahul G. Krishnan (CoRR, 2025)