Zuxin Liu

Ph.D. Student, College of Engineering, Carnegie Mellon University.

M.S. Student, Machine Learning Department, Carnegie Mellon University.

Contact: zuxinl AT andrew DOT cmu DOT edu

Amazon Lab126. Applied Scientist Intern. 2022 Summer.

Nuro, Inc. Machine Learning Research Intern. Host: Dr. Wei Liu, 2021 Summer.

Dajiang Innovations (DJI) Technology Co., Ltd. Algorithm Engineer Intern, 2017 Summer.

On the Robustness of Safe Reinforcement Learning under Observational Perturbations

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li and Ding Zhao.
Under review.

[arXiv] [website]

Constrained Variational Policy Optimization for Safe Reinforcement Learning

Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Steven Wu, Bo Li and Ding Zhao.
2022 ICML.

[arXiv] [code]

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving

Hanjiang Hu^*, Zuxin Liu^*, Sharad Chitlangia, Akhil Agnihotri and Ding Zhao.
2022 CVPR.

[arXiv] [code]

Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method

Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert and Ding Zhao.
2021 ICLR Workshop on Security and Safety in Machine Learning Systems.

[arXiv] [code]

Context-Aware Safe Reinforcement Learning in Non-Stationary Environments

Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding and Ding Zhao.
IEEE International Conference on Robotics and Automation (ICRA) 2021, Xi'an.

[arXiv] [code]

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments

Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert and Ding Zhao.
IEEE International Conference on Intelligent Robots and Systems (IROS) 2020, Las Vegas.

[arXiv]

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen and Ding Zhao
2020 NeurIPS.

[arXiv] [code]

Delay-Aware Multi-Agent Reinforcement Learning

Baiming Chen, Mengdi Xu, Zuxin Liu, and Ding Zhao.
Under review.

[arXiv] [code]

SAnE: Smart Annotation and Evaluation tools for point cloud data

Hasan Arief, Mansur Arief, Guilin Zhang, Zuxin Liu, Manoj Bhat, and Ding Zhao
IEEE Access.

[arXiv] [code]

Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach

Zuxin Liu, Mansur Arief and Ding Zhao
IEEE International Conference on Robotics and Automation (ICRA) 2019, Montreal.

[arXiv] [code]

DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments

Chao Yu, Zuxin Liu and Fei Qiao
IEEE International Conference on Intelligent Robots and Systems (IROS) 2018, Madrid

[arXiv] [code]