- β‘ I am a PhD student from the IIC Laboratory at the School of Computer Science and Technology, Shandong University. My research interests include Data center networking, GPU communication, and heterogeneous communication systems (MLSys).
- π I received my master's degree from Changchun University of Science and Technology. During my master's studies, my research focused on network protocols (such as multi-path transport protocol and congestion control algorithms) and RL (including how AI technology can empower networks.) : GitHub Repository.
- π Before my master's, I worked as an independent full stack developer (Django, FastAPI, Vue, and Flutter) and participated in web security CTFs.
- π My main programming languages are Python, C/C++, and Go.
- π I am an active contributor to the open-source projects UCCL, OpenEuler#sig-high-performance-network and Kmesh.
- π± I am passionate and self-motivated when it comes to technology and research.
- π Want to be friends? Contact me at [email protected]
- π― 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.
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