I am currently a master student in computer science at Georgia Institute of Technology. Previously, I received B.S. degrees with highest honor from Georgia Tech where I studied both Computer Science (Theory-Intelligence threads) and Electrical Engineering with a minor in economics.
My primary research interests are in the areas of 1) deep learning and 2) statistical machine learning with applications in computer vision and robotics. I am fortunate to have been working closely with many excellent researchers and professors (see collaborators).
SBEED Learning: Convergent Control with Nonlinear Function Approximation
Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song.
Towards Black-box Iterative Machine Teaching
Weiyang Liu*, Bo Dai*, Xingguo Li, Zhen Liu, James Rehg, Le Song.
Zhen Liu*, Weiyang Liu*, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James Rehg, Le Song。
(* equal contribution)
Deep Forward and Inverse Perceptual Models for Tracking and Prediction
Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots.
One Shot Learning for Semantic Segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots.
Motion Planning with Graph-Based Trajectories and Gaussian Process Inference
Eric Huang, Mustafa Mukadam, Zhen Liu, Byron Boots.
Prof. Le Song, Georgia Tech
Prof. Byron Boots, Georgia Tech
Weiyang Liu, Ph.D. student, Georgia Tech
Bo Dai, Ph.D. candidate, Georgia Tech
Amerriza Shaban, Ph.D. candidate, Georgia Tech
Eric Huang, Ph.D. candidate, CMU
Mustafa Mukadam, Ph.D. candidate, Georgia Tech
Alexender Lambert, Ph.D. candidate, Georgia Tech
Shray Bansal, Ph.D. candidate, Georgia Tech
Siddarth Choudhary, Magic Leap