Chengshu (Eric) Li

I am currently a second-year Ph.D. student in Computer Science at Stanford University. I am advised by Prof. Fei-Fei Li and Prof. Silvio Savarese at 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).


CV | Google Scholar | LinkedIn



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


BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Sanjana Srivastava*, Chengshu Li*, Michael Lingelbach*, Roberto Martín-Martín*, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

Conference on Robot Learning (CoRL) 2021


iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Chengshu Li*, Fei Xia*, Roberto Martín-Martín*, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

Conference on Robot Learning (CoRL) 2021


iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes

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

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021


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

IEEE International Conference on Robotics and Automation (ICRA) 2021


Interactive Gibson Benchmark (iGibson 0.5): 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]

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


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


* 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*


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*


* denotes equal contribution