I am an undergraduate student in Computer Science Dual-Degree Program(DDP) between Simon Fraser University and Zhejiang University. I have broad interests in solving real-world problems using machine learning techniques. I spent a wonderful year working with Prof. Greg Mori on sports video analysis, efficient deep learning and eight months working with Prof. Alexandre Alahi on social navigation in crowds. Currently, I’m working with Manolis Savva on relational graph reasoning for navigation. And I will be pursuing my PhD in Computer Science at UT Austin advised by Kristen Grauman starting this Fall. Here is my CV.
B.Sc in Computing Science, 2016
Simon Fraser University
B.Eng in Computer Science, 2014
Zhejiang University
Navigation in Crowds: From 2D Navigation to Visual Navigation
Invited Talk at SwissAI Meetup, Lausanne, Switzerland
Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Invited Talk at Swiss Machine Learning Day, Lausanne, Switzerland
Use a meta-network to learn importance and correlation of filters and prune the neural network weights accordingly.
The first principled treatment of deep network compression under operational constraints. This framework is both platform independent and constraint type independent.
To overcome the greediness of traditional linkage criteria in agglomerative clustering, we proposed a reinforcement learning approach to learn a non-greedy merge policy.
Implement several state-of-art models including single frame ResNet, LRCN, optical flow model and two-stream model.
President’s & Dean’s Honour Roll (Oct. 2017)
SFU Alumni Scholarship (Sept. 2017)
SFU Alumni Scholarship (Jan. 2017)
Simon Fraser University Entrance Award (Sept. 2016)