Skip to content
View derekwin's full-sized avatar
🍊
enjoying
🍊
enjoying
32 followers · 101 following

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Organizations

@PyCN @NetExperimentEasy @ClubWeGo

Block or report derekwin

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
derekwin/README.md

Hi there 👋

  • ⚡ I am a first-year D.Eng student at Shandong University, and I received my master's degree from Changchun University of Science and Technology in 2024.
  • ⚡ My research interests include CloudNative and High-Performance Communication Network Technology for Data Centers.
  • 🔭 During my master's studies, my research focused on network protocols (such as multi-path transport protocol and congestion control algorithms) and artificial intelligence algorithms (including how AI technology can empower networks, DRL, MARL, etc.). I have primarily maintained a repository for network research: GitHub Repository.
  • 🔭 Before my master's, I worked as an independent full stack developer (using Django, FastAPI, Vue, and Flutter) and participated in web security CTFs. My main programming languages are Python, C, and Go.
  • 🤔 I am also an open source contributor to OpenEuler#sig-high-performance-network and Kmesh.
  • 🌱 I am passionate and self-motivated when it comes to technology and research.
  • 🌈 Want to be friends? Contact me at Jacelau@outlook.com
  • 👯 Have a great day! :)

History:

  • Robust and friendly congestion control algorithm based on deep reinforcement learning. I have implemented a robust reinforcement learning-based congestion control scheme on both tcp and xquic protocols, and have derived a complete set of software and tools for research in this area. If you are interested, feel free to contact me and admins of https://github.com/NetExperimentEasy.
  • more...

Pinned Loading

  1. NetExperimentEasy/xquic_forrlcc NetExperimentEasy/xquic_forrlcc Public

    Forked from alibaba/xquic

    XQUIC Library released by Alibaba is a cross-platform implementation of QUIC and HTTP/3 protocol.

    C 1 1

  2. opendev2020/tcp_ql opendev2020/tcp_ql Public

    C 4 1

  3. dollop-net dollop-net Public

    Dollop-Net is a Streaming concurrent server framework based on quic(quic-go).

    Go