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ZexinLi0w0/README.md

Hey, 👋 I'm Zexin Li

About ME

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.

Job Market

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.

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  1. R3 R3 Public

    Source code for the paper: "R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics"

    Python 5

  2. ContinualAI/avalanche ContinualAI/avalanche Public

    Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

    Python 2k 312

  3. MatthewCYM/SAME MatthewCYM/SAME Public

    Official implementation of ACL 2023 paper "Dynamic Transformers Provide a False Sense of Efficiency"

    Python 6

  4. asteriaaaa/smartCoopScheduler asteriaaaa/smartCoopScheduler Public

    Source code for the paper: "Efficient algorithms for task mapping on heterogeneous CPU/GPU platforms for fast completion time"

    C 6 1

  5. yul091/DGSlow yul091/DGSlow Public

    Codebase for the ACL 2023 paper: White-Box Multi-Objective Adversarial Attack on Dialogue Generation.

    Python 16

  6. AIoT-MLSys-Lab/Efficient-LLMs-Survey AIoT-MLSys-Lab/Efficient-LLMs-Survey Public

    [TMLR 2024] Efficient Large Language Models: A Survey

    1.2k 98