This page lists some representative research works that my students and I do. We are developing efficient and interpretable learning algorithms for computer vision and machine autonomy. Particularly I am interested in exploring the potential topics for facilitating human-AI interactions. Some recent examples are the human-in-the-loop image editing and the expert-in-the-loop safe policy optimization. I am also interested in understanding human-centric properties of AI models beyond their performance, such as explainability, interpretability, steerability.

Please also check out the dedicated research portfolio pages: GenForce on generative modeling, DecisionForce on machine autonomy.