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Focusing
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Focusing
6 followers · 20 following

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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xyf2002/README.md

Hi there 👋 I'm Yufeng Xia (夏驭风) — a first-year MSc by Research student at the Institute for Computing Systems Architecture (ICSA) at the University of Edinburgh, supervised by Prof. Mahesh K. Marina. I am also a member of the Networked Systems (NetSys) Group.

My research lies at the intersection of Networking and ML Systems, with a focus on building scalable and efficient systems for distributed machine learning at the edge. I am particularly interested in reimagining communication and Radio Access Network (RAN) infrastructure as a unified platform for ML workloads.

Previously, I undertook summer research with Antonio Barbalace (Systems-Nuts research group), focusing on compiler optimization. I obtained my B.Sc. in Computer Science from the University of Edinburgh with First Class Honours.

📖 Research Interests

  • Distributed Machine Learning Systems
  • Edge Computing and Edge ML
  • Networking and ML Systems Co-Design
  • Network Digital Twin
  • Compiler Optimization

I am always open to academic discussions and potential collaborations. Please feel free to reach out to me at yufeng.xia@ed.ac.uk.

Tech Stack

C C++ Python Linux LLVM CUDA Bash Docker Kubernetes Open5GS

Pinned Loading

  1. CoSense CoSense Public

    Forked from systems-nuts/CoSenseAQ

    CoSense is a compiler that uses sensor information from datasheet to help with optimization. It is developed based on LLVM.

    C

  2. tensor-compiler tensor-compiler Public

    C++

  3. llvm-project llvm-project Public

    Forked from llvm/llvm-project

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

    LLVM

  4. xyf2002.github.io xyf2002.github.io Public

    Forked from GuangLun2000/GuangLun2000.github.io

    (Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website

    Less