About Me

Hi there! I am a Ph.D. candidate in the Department of Automation at Tsinghua University, advised by Prof. Keyou You.

My research interests lie at the intersection of Optimization, Machine Learning, and High-Performance Computing. I am dedicated to exploring the theoretical foundations of neural control and developing efficient solvers for large-scale optimization problems. Currently, I am also working on High-performance GPU solvers for optimization.

If you are interested in my research or have any questions, please feel free to contact me via email at lixc21@mails.tsinghua.edu.cn.

Education

Ph.D. Candidate in Control Science and Engineering Tsinghua University
2021 - Present Rank: 3/86 (Top 3%)
B.Eng. in Automation Tsinghua University
2017 - 2021 Rank: 5/166 (Top 3%)

Selected Publications

ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
Xingchen Li, Keyou You
arXiv preprint arXiv:2601.16764, 2026. [arXiv]
The Bidirectional Mapping Between Linear Model Predictive Control Policies and ReLU Neural Networks
Xingchen Li, Keyou You
IEEE 64th Conference on Decision and Control (CDC), 2025.
ReLU Neural Networks for Approximating Model Predictive Control: Complexity and Stability Guarantees
Xingchen Li, Keyou You
IEEE American Control Conference (ACC), 2025.
Recent Advances in Fast Solving Optimization Problems Using Neural Network for Model Predictive Control
Xingchen Li, Tianxun Li, Keyou You
Information and Control, 2024.
Data-driven Control of Linear Systems via Quantized Feedback
Xingchen Li, Feiran Zhao, Keyou You
Journal of Systems Science and Complexity, 2024.
Data-driven Control of Unknown Linear Systems via Quantized Feedback
Feiran Zhao*, Xingchen Li*, Keyou You (*: equal contribution)
4th Annual Learning for Dynamics Control Conference (L4DC), 2022.

Honors & Awards

Excellent Undergraduate Graduation Thesis in Beijing (Top 0.5%) 2021
First Prize, Mathematical Modeling Competition in Tsinghua (Top 2%) 2022
Outstanding Teaching Assistant Award (Top 3%) 2024
Outstanding Graduate of Dept. of Automation, Tsinghua University (Top 3%) 2021
Graduate Scholarship for Outstanding Performance (Top 5%) 2022, 2023, 2024
Scholarship for Excellent Social Practice (Top 5%) 2023