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ZexinLi0w0/README.md

Hey, 👋 I'm Zexin Li

About ME

I received a Ph.D. degree from the University of California, Riverside (UCR) under the advice of 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.

Feel free to contact me if we share common research interests.

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  1. ContinualAI/avalanche ContinualAI/avalanche Public

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

    Python 2.1k 321

  2. jaredpalmer/kev jaredpalmer/kev Public

    Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own

    Python 8.6k 567

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

    [TMLR 2024] Efficient Large Language Models: A Survey

    1.3k 102

  4. RTCL-AE RTCL-AE Public

    [RTSS 2026] Real-Time Continual Learning on Embedded GPUs

    Python 1