Postgraduate Thesis 
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
Wenxuan Yuan*, Xiaoyuan Cheng*, Sibo Cheng
Expected submission to Journal of Machine Learning Research (JMLR)
Publications
You can also find my articles on my Google Scholar profile.
Ongoing Work
Preprint
On Stability and Robustness of Diffusion Posterior Sampling for Bayesian Inverse Problems
Yiming Yang, Xiaoyuan Cheng, Yi He, Kaiyu Li, Wenxuan Yuan, Zhuo Sun
Submitted to International Conference on Machine Learning (ICML), 2026
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
Xiaoyuan Cheng*, Wenxuan Yuan*, Boyang Li, Yuanchao Xu, Yiming Yang, Hao Liang, Bei Peng, Robert Loftin, Zhuo Sun, Yukun Hu
Submitted to International Conference on Machine Learning (ICML), 2026
Conference
Oral 
Information Shapes Koopman Representation
Xiaoyuan Cheng*, Wenxuan Yuan*, Yiming Yang, Yuanzhao Zhang, Sibo Cheng, Yi He, Zhuo Sun
Published in International Conference on Learning Representations (ICLR), 2026
Oral 
MSTCN-VAE: An unsupervised learning method for micro gesture recognition based on skeleton modality
Wenxuan Yuan, Shanchuan He, Jianwen Dou
Published in International Joint Conference on Artificial Intelligence (IJCAI), 2023
Journal
Undergraduate Thesis 
Physics-guided multistage neural network: A physically guided network for step initial values and dispersive shock wave phenomena
Wenxuan Yuan, Rui Guo
Published in Physical Review E, 2024
Physics-informed Neural Network method for the Modified Nonlinear Schrödinger equation
Wenxuan Yuan, Rui Guo, Yining Gao
Published in Optik, 2023