Tongxin Li

Teaching Complex Bldg, 608

School of Data Science

CUHK-Shenzhen

I am a tenure-track assistant professor in the School of Data Science at The Chinese University of Hong Kong, Shenzhen.

Prior to joining CUHK-Shenzhen, I received my PhD in Computing and Mathematical Sciences at the California Institute of Technology. I also worked as an applied scientist intern at AWS Security in 2020 and 2021.

My research connects control, online decision-making, optimization, machine learning, and power systems. I develop reliable AI theory and tools for critical real-world systems.

Publications CV Email

AI + Energy Reinforcement Learning Control Theory Online Optimization

Openings

I am looking for PhD students and postdoctoral researchers interested in:

AI + Energy
Control, reinforcement learning and online decision-making

Please feel free to email me with your CV. I also welcome other forms of local and remote collaboration.

News & updates

Talks, workshops, student milestones, and other academic notes. View all →

Aug 26, 2026	Workshop CDC 2026 Workshop on Control under Unreliable Predictions
Aug 26, 2026	Service Technical Program Committee Service at ACM SIGMETRICS 2027
Aug 26, 2026	Service Technical Program Committee Service at ACM e-Energy 2027
Jun 26, 2026	Service Technical Program Committee Service at ACM e-Energy 2026
May 2, 2026	Service We are organizing the IFAC World Congress 2026 full-day workshop Contextual Control: Integrating Learning, Optimization, and Physical Structures in Control Systems on Sunday, August 23, 2026 in Busan.
Jul 20, 2025	Paper Two papers (Predictive SLS and InstructMPC) accepted by CDC 2025. Congragualtions to Yifei and Ruixiang.
Jul 20, 2024	Service Served as Session Chair in 2024 INFORMS Annual Meeting. Topic: optimization and learning for sustainable grids
Jul 20, 2023	Service Served as Session Chair in 2023 INFORMS Annual Meeting. Topic: learning-augmented decision-making in cyber-physical systems
Jul 20, 2023	Workshop Panel discussion in PESGM 2023. Slides
Nov 19, 2022	Award I received the SIGEnergy Doctoral Dissertation Award Honorable Mention.
Oct 28, 2022	Talk Talk in algorithms with predictions seminar course. Slides
Oct 22, 2022	Talk Invited Talk in 2022 INFORMS Annual Meeting. Slides
Oct 23, 2021	Talk Invited Talk in 2021 INFORMS Annual Meeting. Slides
Jul 12, 2021	Paper Two new papers on LQR with untrusted predictions and learning-based predictive control.
Jun 15, 2021	Talk Talk of the paper in ACM SIGMETRICS. Slides