Publications
Please check my Google Scholar for the most updated publications.
Equal contributions are denoted by * and †.
Preprints
DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D Livingston McPherson, Wendy A Rogers, Katherine Driggs-Campbell.
In IEEE Robotics and Automation Letters (RA-L), 2024.
[Paper] [Website] [Video] [Code]
Conference
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, and Katherine Driggs-Champbell.
In Conference on Robot Learning (CoRL), 2023.
[Paper]
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell.
In Conference on Robot Learning (CoRL), 2023.
(Best Student Paper Award Finalist [link])
[Paper] [Website] [Code]
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Driggs-Campbell.
In IEEE International Conference on Robotics and Automation (ICRA), 2023.
(Best poster award at IROS 2023 Last-Mile Robotics Workshop [link])
[Paper] [Website] [Video] [Code]
Learning Visual-Audio Representations for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, and Katherine Driggs-Champbell.
In IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Paper] [Video] [Code]
Occlusion-Aware Crowd Navigation Using People as Sensors
Ye-Ji Mun, Masha Itkina, Shuijing Liu, and Katherine Driggs-Campbell.
In IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Paper] [Video] [Code] [Newspaper article]
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty, Aamir Hasan *, Shuijing Liu *, Tianchen Ji *, Eric Liang, D. Livingston McPherson, and Katherine Driggs-Campbell
In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023. (Full paper)
[Paper] [Website] [Code]
Combining Model-Based Controllers And Generative Adversarial Imitation Learning for Traffic Simulation
Haonan Chen, Tianchen Ji, Shuijing Liu, and Katherine Driggs-Champbell.
In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022.
[Paper]
Learning to Navigate Intersections with Unsupervised Driver Trait Inference
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, and Katherine Driggs-Champbell.
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.
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]