Chengshu (Eric) Li
I am currently a first-year Ph.D. student in Computer Science at Stanford University. I have collaborated with Prof. Silvio Savarese and Prof. Fei-Fei Li in the Stanford Vision and Learning Lab. My research interest lies at the intersection of robot learning and computer vision.
I received my B.S. in Computer Science with Distinction from Stanford University in 2017 and M.S. in Management Science & Engineering from Stanford University in 2020. In the past, I've worked/interned at Google Brain Robotics (2019-2020), AutoX (2017-2018), Shift (2016), and Tableau (2015).
Email: chengshu@stanford.edu
CV | Google Scholar | LinkedIn
News
2021/02/28: Our paper ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation is accepted at ICRA 2020!
2021/02/17: We launched iGibson Challenge 2021 at the CVPR2021 Embodied AI Workshop! We featured Interactive and Social Navigation in dynamic environments in iGibson.
Education
Stanford University
Ph.D. Candidate in Computer Science
2020/09 - Present
Stanford, CA
Stanford University
Master of Science in Management Science and Engineering
2019/01 - 2020/06
Stanford, CA
GPA: 4.0 / 4.0
Stanford University
Bachelor of Science in Computer Science with Distinction
2013/09 - 2017/06
Stanford, CA
GPA: 3.93 / 4.0
Publications
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments
Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
IEEE Robotics and Automation Letters (RA-L) and International Conference on Robotics and Automation (ICRA) 2020
* denotes equal contribution
Industry Experience
Google Brain Robotics
Student Researcher (Part-time)
2019/11 - 2020/05
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*
[paper]
DeepShuai: Deep Reinforcement Learning based Chinese Chess Player
Chengshu Li*, Kedao Wang*, Zihua Liu*
[paper]
Effective Word Representation for Named Entity Recognition
Jun-Ting Hsieh*, Chengshu Li*, Wendi Liu*
[paper]
* denotes equal contribution