My current research interest is machine learning with distribution shifts, including domain adaptation, domain generalization, and out-of-distribution (OOD) robustness. I am trying to provide a deeper (theoretical) understanding of them while developing applicable algorithms. Previously, I have worked on meta-learning and multi-task learning.