Publications

Please check my Google Scholar for details.

Under review

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction

Shuijing Liu *, Peixin Chang *, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Driggs-Campbell.
In submission for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[Paper]

Learning Visual-Audio Representations for Voice-Controlled Robots

Peixin Chang, Shuijing Liu, and Katherine Driggs-Champbell.
In submission for Robotics and Automation Letters (RA-L).
[Paper]

Occlusion-Aware Crowd Navigation Using People as Sensors

Ye-Ji Mun, Masha Itkina, Shuijing Liu, and Katherine Driggs-Campbell.
In submission for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.

World in Motion: Geometry-based Video Prediction with Visual Odometry Prediction and View Synthesis

Weihang Liang, Neeloy Chakraborty *, Pranav Sriram *, Yixiao Fang, Zhe Huang, Peixin Chang, Shuijing Liu, and Katherine Driggs-Campbell.
In submission for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.

Conference

Learning to Navigate Intersections with Unsupervised Driver Trait Inference

Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, and Katherine Driggs-Champbell.
To appear in IEEE International Conference on Robotics and Automation (ICRA), 2022.
[Paper] [Website] [Code] [Video]

Off Environment Evaluation Using Convex Risk Minimization

Pulkit Katdare, Shuijing Liu, and Katherine Driggs-Champbell.
To appear in IEEE International Conference on Robotics and Automation (ICRA), 2022.
[Paper] [Code]

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Shuijing Liu *, Peixin Chang *, Weihang Liang † , Neeloy Chakraborty † , and Katherine Driggs-Champbell.
In IEEE International Conference on Robotics and Automation (ICRA), 2021.
[Paper] [Website] [Code] [Video]

Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control

Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs-Champbell.
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
[Paper] [Website] [Video]

Robust Deep Reinforcement Learning with Adversarial Attacks

Anay Pattanaik, Zhenyi Tang *, Shuijing Liu *, Gautham Bommannan, Girish Chowdhary.
In 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. (Extended Abstract)
[Paper] [Video] [Poster] [Supplementary materials]

Thesis

Prostate Cancer Diagnosis by Deep Learning

Shuijing Liu.
Undergraduate Senior Thesis, May 2018.
[Abstract] [Paper] [Slides]