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

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

Chengshu Li*, Bokui Shen*, Fei Xia*, Roberto Martín-Martín*, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese

Pre-print (under review)

[paper][website]


Chengshu Li*, Fei Xia*, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

IEEE International Conference on Robotics and Automation (ICRA) 2021

[paper][website]


HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

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

Conference on Robot Learning (CoRL) 2019

[paper][website][code]


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

[paper][project website][igibson website][code]

Gibson Env V2: Embodied Simulation Environment for Interactive Navigation

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

CVPR Workshop on Deep Learning for Visual Navigation 2019

[paper][website][code]

* 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]

Spotlight: A Smart Video Highlight Generator

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

[paper]

Effective Word Representation for Named Entity Recognition

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

[paper]

Predicting Information Virality in WeChat

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

[paper]

* denotes equal contribution