ABOUT ME

I am a second-year M.S. student in Automation at Xi’an Jiaotong University, affiliated with the Institute of Systems Engineering, School of Automation Science and Engineering. I am supervised by Prof. Yu Yang.

My research interests are in the area of reinforcement learning (RL) and learning-based decision-making for complex cyber-physical and interactive dynamical systems. The goal is to develop principled RL methods that can learn compact representations and latent dynamics of complex environments, thereby enabling robust, efficient, and reliable long-horizon decision-making under uncertainty. My current research focuses on topics such as latent dynamics learning, representation learning, model-augmented RL, and decision-focused learning.

Beyond that, I am also interested in developing physically grounded and decision-oriented learning frameworks for real-world autonomous systems. By incorporating physics-consistent modeling, these frameworks can support robust and efficient control and optimization in diverse dynamic environments, including energy systems, AI data centers, and broader autonomous systems.