Wei-Fang Sun

28 papers A* 7A 2C 1Misc 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Compute-optimal Scaling of Diffusion Language Models.
CoRR
Chen-Hao Chao, Wei-Fang Sun, Junwei Quan, Chun-Yi Lee, Rahul G. Krishnan
2025 Misc conf
3D Gaussian Splatting with Grouped Uncertainty for Unconstrained Images.
ICASSP
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
2025 J jnl
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking.
CoRR
Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul G. Krishnan
2025 J jnl
Enhancing Memory and Imagination Consistency in Diffusion-based World Models via Linear-Time Sequence Modeling.
CoRR
Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun, Chun-Yi Lee
2025 J jnl
LOBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction.
CoRR
Sheng-Hsiang Hung, Ting-Yu Yen, Wei-Fang Sun, Simon See, Shih-Hsuan Hung, Hung-Kuo Chu
2025 C conf
PCIe Bandwidth-Aware Scheduling for Multi-Instance GPUs.
HPC Asia
Yan-Mei Tang, Wei-Fang Sun, Hsu-Tzu Ting, Ming-Hung Chen, I-Hsin Chung, Jerry Chou
2025 A* conf
Retraining-free Merging of Sparse MoE via Hierarchical Clustering.
ICML
I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee
2024 J jnl
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation.
CoRR
Mu-Yi Shen, Chia-Chi Hsu, Hao-Yu Hou, Yu-Chen Huang, Wei-Fang Sun, Chia-Che Chang, Yu-Lun Liu, Chun-Yi Lee
2024 A* conf
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning.
ICML
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee
2024 J jnl
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning.
CoRR
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee
2024 A conf
Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning.
IROS
Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee
2024 A* conf
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow.
NeurIPS
Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
2024 J jnl
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow.
CoRR
Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
2024 J jnl
Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering.
CoRR
I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee
2023 J jnl
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning.
CoRR
Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
2023 J jnl
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning.
J. Mach. Learn. Res.
Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
2023 — conf
COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU.
ASP-DAC
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung Tai Yeh, Chun-Yi Lee
2023 A* conf
On Investigating the Conservative Property of Score-Based Generative Models.
ICML
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
2023 A* conf
Training Energy-Based Normalizing Flow with Score-Matching Objectives.
NeurIPS
Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
2023 J jnl
Training Energy-Based Normalizing Flow with Score-Matching Objectives.
CoRR
Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
2022 A* conf
Denoising Likelihood Score Matching for Conditional Score-based Data Generation.
ICLR
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
2022 J jnl
Denoising Likelihood Score Matching for Conditional Score-based Data Generation.
CoRR
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
2022 J jnl
Quasi-Conservative Score-based Generative Models.
CoRR
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
2021 A conf
A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning.
AAMAS
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
2021 J jnl
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From National Tsing Hua University.
IEEE Trans. Parallel Distributed Syst.
Wei-Fang Sun, Hung-Hsin Chen, Shaofu Lin, YuanChing Lin, Jing-Wei Wu, En-Te Lin, Jerry Chou
2021 A* conf
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning.
ICML
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
2021 J jnl
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning.
CoRR
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
2020 J jnl
Quatros: a preemptive multithreaded embedded OS for education.
SIGBED Rev.
Wei-Fang Sun, Shih-Hsien Chan, Zhe-Ting Liu, Yu-Hung Yeh, Pai H. Chou