Chengshu (Eric) Li

I am currently a second-year master student at Stanford University. I have collaborated with Prof. Silvio Savarese in the Stanford Vision and Learning Lab. I am part of the Jackrabbot team that is focused on social and interactive robot navigation. My research interest lies at the intersection of reinforcement learning, robotics and computer vision.

I received my B.S. in Computer Science with Distinction from Stanford University in 2017. In the past, I've worked/interned at Google Brain Robotics (2019), AutoX (2017-2018), Shift (2016), and Tableau (2015).

I will start my Ph.D. at Stanford in Fall 2020.


CV | Google Scholar | LinkedIn


Stanford University

Master of Science in Management Science and Engineering

2019/01 - 2020/06 (expected)

Stanford, CA

GPA: 3.98 / 4.0

Stanford University

Bachelor of Science in Computer Science with Distinction

2013/09 - 2017/06

Stanford, CA

GPA: 3.93 / 4.0


HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

Chengshu Li, Fei Xia, Roberto Martin-Martin, Silvio Savarese

Conference on Robot Learning (CoRL) 2019


Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments

Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martin-Martin, Silvio Savarese

IEEE Robotics and Automation Letters (RA-L) and International Conference on Robotics and Automation (ICRA) 2020


Gibson Env V2: Embodied Simulation Environment for Interactive Navigation

Fei Xia, Chengshu Li, Kevin Chen, Roberto Martin-Martin, Noriaki Hirose, Amir R. Zamir, Silvio Savarese

CVPR Workshop on Deep Learning for Visual Navigation 2019


Industry Experience

Google Brain Robotics

Student Researcher (Part-time)

2019/11 - Present

Mountain View, CA

AutoX, Inc.

Research Engineer for Deep Learning and Perception

2017/09 - 2018/12

San Jose, CA

Shift Technologies, Inc.

Software Engineering Intern

2016/06 - 2016/09

San Francisco, CA

Tableau Software

Software Engineering Intern

2015/06 - 2015/09

Seattle, WA

Tech Reports

Indexed Value Function Learning via Distributional Temporal Difference

Tian Tan*, Zhihan Xiong*, Chengshu Li*


DeepShuai: Deep Reinforcement Learning based Chinese Chess Player

Chengshu Li*, Kedao Wang*, Zihua Liu*


Spotlight: A Smart Video Highlight Generator

Jun-Ting Hsieh*, Chengshu Li*, Wendi Liu*


Effective Word Representation for Named Entity Recognition

Jun-Ting Hsieh*, Chengshu Li*, Wendi Liu*


Predicting Information Virality in WeChat

Chengshu Li*, Jun-Ting Hsieh*, Yuyang Xia*


*Authors contribute equally for all the projects above.