I am currently a graduate student in Department of Computer Science and Software Engineering at Auburn University. I am advised by Dr. Skjellum and Dr. Bo Liu, working in Computational Automated Learning Laboratory.

My research mainly lies on reinforcement learning, optimization and large scale machine learning.


Risk-Sensitive and Reliable Policy Gradient

Risk-sensitive management in dynamic decision problems is a primary concern in many fields, such as finance and process control. We developed a policy search framework for reinforcement learning with variance-related criteria and a variance reduction technique.

Contextual Outlier Mining Algorithm Based on PSO

Developed an outlier detection algorithm to improve the interpretability of outliers.