I am currently a Postdoctoral Associate in the Division of Applied Math, Brown University, where I completed my Ph.D. dissertation in August, 2018. I received my bachelor degrees from Peking University. Here’s my CV.
I am currently focused on designing probabilistic generative models for computer vision, in collaboration with Stuart Geman and Matthew Harrison. The idea is to embed discrete compositional models into continuous and differentiable architectures so as to harness modern computational tools.
More generally, I am interested in using probabilistic and statistical methods to understand
My methodological research has focused on
For more details, please refer to my research statement.