Portrait of Zishun Liu

Zishun Liu

Machine Learning Center, Georgia Tech

About Me

Welcome to my academic homepage. I am a fifth-year Ph.D. student in Machine Learning at the Georgia Institute of Technology, advised by Prof. Yongxin Chen. Currently, I am also a research intern at Mitsubishi Electric Research Laboratories (MERL), under the supervision of Dr. Yebin Wang and Dr. Zhaolin Ren. Previously, I received my bachelor's degree in Engineering from the Department of Automation at Shanghai Jiao Tong University in 2021. You can learn more about my work on this page.

Aside from research, I am a fan of ACGN culture. I also enjoy traveling and swimming.

Research

My research interests span robotics, machine learning, control theory, and stochastic processes. My current research focuses on, but is not limited to, the following topics:

Application Projects

A Fast and Lossless Optimal Power Allocation Scheme for Hybrid Electric Vehicles*
Z. Liu, Y. Wang, Z. Ren, J. Leung and D. Liu.

An Efficient Learning-Based Codesign Pipeline for Motor-Controller Robot Systems. *
Z. Liu and Y.Wang.

* The project was conducted during my research internship at MERL.

Selected Publications

A full list of my publications is available on my Google Scholar profile.

Preprints

Feedback Motion Planning for Stochastic Nonlinear Systems with Signal Temporal Logic Specifications
Z. Liu*, L. Ma*, G. Chou, and Y. Chen, arXiv:2605.02361, 2026. [PDF]

A New Proof of Sub-Gaussian Norm Concentration Inequality
Z. Liu, S. Power, and Y. Chen, arXiv:2503.14347, 2025. [PDF]

Journals

Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube
Z. Liu, S. Jafarpour, and Y. Chen, IEEE Transactions on Automatic Control, 2026. [PDF]

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems
Z. Liu, S. Jafarpour, and Y. Chen, Automatica, 2026. [PDF]

Probabilistic Reachability Analysis of Stochastic Control Systems
Z. Liu*, S. Jafarpour*, and Y. Chen, IEEE Transactions on Automatic Control, 2025. [PDF]

Safety Verification of Stochastic Systems under Signal Temporal Logic Specifications
L. Ma, Z. Liu, H. Yu, and Y. Chen, IEEE Control Systems Letters, 2025. [PDF]

Conferences

Model Predictive Control with High-Probability Safety Guarantee for Nonlinear Stochastic Systems
Z. Liu, L. Ma, and Y. Chen, 2026 American Control Conference, 2026. [PDF]

Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion
Z. Liu*, L. Ma*, and Y. Chen, 2025 IEEE Conference on Decision and Control, 2025. [PDF]

Safety Verification of Stochastic Systems: A Set-Erosion Approach
Z. Liu, S. Jafarpour, and Y. Chen, 2025 American Control Conference, 2025. [PDF]

* These authors shares equal contributions.

News

Contact

Email: zliu910 [at] gatech [dot] edu