Research Interests

We are interested in making machine learning and deep learning algorithms more reliable, robust, efficient, and interpretable. Our research interests include thustworthy machine learning, federated learning, reinforcement learning, security and efficency. We focus on the practical applications and theoretical solutions based on statistical analysis. Our work directly benefits applications such as computer vision, natural language process, graph networks, and privacy-preserving machine learning systems. Here is my Google Scholar. Specifically, we are interested in the following topics:

• Trustworthy AI
• Medical AI
• Generative AI/AIGC/LLM
• Federated Learning
• Reinforcement Learning