I am an Assistant Professor in the Department of Computer Science at the University of Pittsburgh. I obtained my Ph.D. degree at the University of Minnesota, under the supervision of Prof. Vipin Kumar. Prior to that, I got my B.S. and M.S. from the University of Science and Technology of China (USTC) and State University of New York at Buffalo.
My research is focused on developing data mining and machine learning methods to solve real-world problems with great societal and scientific impacts.
I am looking for self-motivated Ph.D. students who are interested in data mining and machine learning. Please email me your CV if you are interested. More details can be found here.
We aim to build a new generation of ML models by integrating scientific theory into ML models for knowledge discovery in scientific problems. Under extensive collaboration with domain scientists, we hope to use these ML techniques to solve some major challenges that face human beings.
How to mine important patterns from the spatio-temporal data to provide accurate and timely information that helps better understand global changes? We need cutomized deep learning solutions (e.g., spatio-temporal models and graph models) that are context-aware, interpretable, and generalizable.
Use data-driven reinforcement learning methods to inform human decisions on complex systems, e.g., temperature control, device deployment, and automation control.
We develop new algorithms to quantify model uncertainty so that human interventions can be conducted properly to better manage complex systems.