My current major research topics are about:
building the bridge between causality and machine learning, e.g., causal representation learning, multi domain/task Learning;
building the bridge between Bayesian learning and deep learning, e.g., Bayesian deep learning and deep Bayesian learning;
inverse problems in various applications, e.g., computer vision, signal processing.