I am currently a graduate student at Georgia Tech. Previously, I received a M.S. from Peking University and a B.E. from South China University of Technology. I finished a great internship at Nvidia Research.
My research interest broadly lies in statistical learning, (deep) representation learning and their applications to computer vision. 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 great pleasure to work closely with Yandong Wen, Zhiding Yu, Bo Dai, Zhen Liu, Xingguo Li and Tuo Zhao.
Towards Black-box Iterative Machine Teaching
Weiyang Liu*, Bo Dai*, Xingguo Li, James M. Rehg, and Le Song.
Technical Report, 2017 [arXiv]
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, and Le Song.
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
Yandong Wen, Ph.D. candidate, CMU
Zhiding Yu, Ph.D. candidate, CMU
Zhen Liu, M.S. student, Georgia Tech
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. student, Emory University