Hey, 👋 I'm Zexin Li
I am a Ph.D. student at the University of California, Riverside (UCR). I am fortunate to be advised by Dr. Cong Liu. I received a bachelor’s degree from the Southern University of Science and Technology (SUSTech) under the advice of Dr. Yuqun Zhang in July 2020. My research interests lie in interdisciplinary fields of real-time embedded systems and on-device machine learning.
I am actively looking for cooperation in the following topics: (1) deploying machine learning models on real-time embedded devices, (2) system-application co-optimization of machine learning systems, and (3) improving performance robustness in machine learning systems.
I am on the job market now! I am currently on the 2025-2026 job market and open to opportunities in real-time embedded systems, on-device machine learning, cyber-physical systems, AI/ML, and embedded intelligent systems research. I welcome conversations with teams working on cutting-edge machine learning systems and embedded intelligent systems workflows. Feel free to reach out at 📧 [email protected] if you believe there might be a fit.
Feel free to contact me if we share common research interests.