Wei-Fang Sun

According to our database, Wei-Fang Sun authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, February, 2025

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

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, Chun-Yi Lee

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Training Energy-Based Normalizing Flow with Score-Matching Objectives.

Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Investigating the Conservative Property of Score-Based Generative Models.

Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Quasi-Conservative Score-based Generative Models.

Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee

CoRR, 2022

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, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

IEEE Trans. Parallel Distributed Syst., 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

Proceedings of the 38th International Conference on Machine Learning, 2021

A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning.

Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

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