My current research focuses on developing computational methods to improve the generalization capability of machine learning algorithms through the combination of knowledge transfer and relation learning. I am also passionate about applying these methods for solving social problems (i.e., AI for social good). Revolving around this goal, I mainly study the following topics:

- Machine Learning: meta-learning, few-shot learning, transfer learning, multi-task learning, continual learning, AutoML, relation learning, physics-guided machine learning

- Applications: transportation, environment, healthcare, education, bioinformatics