Lintao Ye

School of Artificial Intelligence and Automation

Huazhong University of Science and Technology (HUST)

I am an Associate Professor in the School of Artificial Intelligence and Automation at the Huazhong University of Science and Technology, Wuhan, China. Previously, I was a Postdoctoral Scholar of Electrical Engineering at the University of Notre Dame from December 2020 to December 2021, where I was hosted by Professor Vijay Gupta. I received my Ph.D. degree in 2020 from the School of Electrical and Computer Engineering at Purdue University, where I was advised by Professor Shreyas Sundaram. I received my M.S. degree in 2017 from the School of Mechanical Engineering at Purdue University. Prior to joining Purdue, I received my B.E. degree from the School of Material Science and Engineering at HUST.

Research Interest:

I am broadly interested in designing algorithms to solve optimization problems in large-scale control systems potentially with model uncertainty. The core of my research is to provide provable performance guarantees of the proposed algorithms and understand the fundamental limitations of any algorithms to solve the problem. While the algorithms are designed to solve the problems in control systems, the algorithm also provides methods to solve general problems in online optimization, combinatorial optimization, etc. My research mainly draws on tools and ideas from control and optimization theory, statistics, learning theory, and network science. A list of keywords that summarize my research interest is provided below:

Reinforcement learning for control of unknown dynamical systems;
Online optimization and sequential decision-making;
Combinatorial optimization using submodularity;
Reinforcement learning for large-scale and multi-agent systems.

List of publications and Google Scholar link

News:

July 2025: Two papers have been accepted to the IEEE Conference on Decision and Control (CDC) 2025.
May 2025: New preprint "Learning Stabilizing Policies Using an Unstable Subspace Representation".
Feb. 2025: Our paper "Learning Dynamical Systems by Leveraging Data From Similar Systems" has been accepted to the IEEE Transactions on Automatic Control.
Jan. 2025: Our paper "Online Mixed Discrete and Continuous Optimization: Algorithms, Regret Analysis and Applications" has been accepted to Automatica.
Dec. 2024: Attended the 63rd IEEE Conference on Decision and Control (CDC) 2024 in Milan, Italy.
Sept. 2024: Our paper "Learning Decentralized Linear Quadratic Regulators with Squared Root T Regret" has been accepted to the SIAM Journal on Control and Optimization.
July 2024: Two papers have been accepted to the IEEE Conference on Decision and Control (CDC) 2024.
July 2024: Attended the 6th Annual Learning for Dynamics and Control (L4DC) conference in Oxford, UK (our paper).

To Perspective Students:

I am always looking for self-motivated and passionate students with strong mathematical and/or programming backgrounds. Please feel free to send me an email with your CV if you are interested in working with me.

Contact:

Email: yelintao93@hust.edu.cn OR yelintao2015@gmail.com.

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