- ⚡ 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 [email protected]
- 👯 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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