Research Interests: latent variable models (LVMs). Specifically, I am interested in (1) designing LVMs to address various complex modeling issues presented in big data; (2) developing diversity-promoting regularization approaches of LVMs to capture infrequent patterns and reduce model complexity; (3) designing distributed systems to facilitate large scale inference and learning of LVMs; (4) developing privacy preservation techniques to protect users' privacy in cloud machine learning. Currently I am focusing on the second and third aspect.
Bio: I am working with Prof. Eric Xing in SAILING lab.
My research interests lie in latent variable models, in particular developing diversity-promoting regularization approaches to capture infrequent patterns and reduce model complexity, and building distributed systems to facilitate large scale latent variable modeling..
Before coming to CMU,
I obtained a M.E. from Tsinghua University in 2013
and a B.E. from Sichuan University in 2010. I am the recipient of Siebel Scholarship, Goldman Sachs Global Leader Scholarship and National Scholarship of China.