I am a graduate student at Georgia Tech, working with Prof. Le Song and Prof. Jim Rehg. Previously, I received a M.S. from Peking University and a B.Eng with honors from South China University of Technology. I finished a great summer internship at visual computing group, Nvidia Research.
My research interest broadly lies in statistical machine learning, (deep) representation learning and their applications to computer vision and artificial intelligence. I extremely appreciate the beauty of "light-and-sweet" algorithms: (i) light: easy to implement in practice, (ii) sweet: having clear intuitions or non-trivial theoretical guarantees. I also have the preasure to work with some talented researchers: Yandong Wen, Zhiding Yu, Meng Yang, Bo Dai, Yan-Ming Zhang, Xingguo Li and Tuo Zhao.
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, and Le Song.
NIPS 2017 (Spotlight) [Paper Forthcoming]
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Yu Chen, Linda B. Smith, James M. Rehg, and Le Song.
Prof. Meng Yang, Sun Yat-Sen University
Prof. Yuexian Zou, Peking University
Prof. Le Song, Georgia Tech
Prof. Jim Rehg, Georgia Tech
Prof. Tuo Zhao, Georgia Tech
Prof. Yan-Ming Zhang, NLPR, CASIA
Jianhan Mei, Ph.D. Candidate, Nanyang Technological University
Bo Dai, Ph.D. Candidate, Georgia Tech
Xingguo Li, Ph.D. Candidate, University of Minnesota Twin Cities
Rongmei Lin, M.S. Candidate, Emory University