ZHILIN YANG

Research: Zhilin Yang aims at empowering AI with the ability to learn natural language like human, especially the ability to learn without a large, static labeled dataset. Towards this goal, he designed deep learning algorithms and models that learn by modeling priors from unlabeled data, by generative modeling, by transferring latent structure, and by interacting with humans in an environment.

Bio: Zhilin Yang is a third-year PhD student at Carnegie Mellon University, advised by Ruslan Salakhutdinov and William Cohen. He works on deep unsupervised learning and its applications in natural language understanding. In the past two years, he published 11 papers (9 first-author) in ICLR, NIPS, ICML, and other top AI venues. He had research experience at Facebook AI Research, and received a B.E. in computer science with top1 GPA from Tsinghua University.