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ZexinLi0w0/README.md

Hey, 👋 I'm Zexin Li

About ME

I’m a current Ph.D. student in @UCRiverside.

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 ML models on real-time embedded devices, (2) system-application co-optimization of complex machine learning systems, and (3) improving performance robustness in existing ML infrastructures.

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

Statistics

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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 1

  2. ContinualAI/avalanche ContinualAI/avalanche Public

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

    Python 1.8k 290

  3. MatthewCYM/SAME MatthewCYM/SAME Public

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

    Python 5

  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 4

  5. yul091/DGSlow yul091/DGSlow Public

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

    Python 15

  6. Soroosh129/NeuOS Soroosh129/NeuOS Public

    Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"

    C++ 19 5