I am an Assistant Professor of Computer Science at Rice University.
I completed my Ph.D. at Johns Hopkins University, advised by Bloomberg Distinguished Professor Alan L. Yuille. After my PhD, I joined Meta FAIR as a postdoctoral researcher. During my doctoral studies, I also interned at Google DeepMind and Meta FAIR. I received my B.S. with honors from Peking University EECS.
[Hiring] We welcome graduate and undergraduate interns to join our projects. Feel free to drop me an email!
My research asks: how can AI learn to see, reason about, and act in the visual world with minimal supervision? I approach this from three angles:



