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WilliamYi96/README.md

Hi there, I am Kai Yi.

  • 👨🏼‍💻 I am a Ph.D. candidate at KAUST supervised by Prof. Peter Richtarik
  • ⚡ I am actively seeking research internship and full-time opportunities. If you are interested in my profile, please feel free to contact me.
  • 🔭 I’m currently working on LLM Compression, Federated Learning, and Distributed Optimization.
  • 🌱 I have interned at SonyAI, Vector Institute, CMU, Tencent AI, NUS, SenseTime ...
  • ⚡ Most of my projects are open-source at GitHub and are pinned below.
  • 📫 My homepage
  • 📖 Check my publications via Google Scholar

Pinned Loading

  1. Android Android Public

    Android fundamental tools.

    Java 16 66

  2. Vision-CAIR/CIZSLv2 Vision-CAIR/CIZSLv2 Public

    CIZSL++: Creativity Inspired Generative Zero-Shot Learning. T-PAMI under review.

    Python 6 2

  3. HGR-Net HGR-Net Public

    Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.

    Python 19 2

  4. Scafflix Scafflix Public

    Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. arXiv, 2023

    Jupyter Notebook 4

  5. VR-ProxSkip VR-ProxSkip Public

    Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS, 2022

    Jupyter Notebook 3

  6. EF-BV EF-BV Public

    EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022

    Python 2