I am a first-year direct PhD student at ETH Zurich, working with Prof. Adrian Perrig on the SCION network. I am currently completing the associated Master’s degree, with coursework spanning security, AI, and systems. I recently finished a small project on multipath video streaming, which was presented as a poster at CoNEXT 2025.
Before joining ETH Zurich, I completed a six-month research internship at the University of Chicago with Prof. Junchen Jiang, where I focused on KV cache optimization for LLM inference. I am an early developer of the LMCache project (GitHub 6k+ stars).
I received my B.Eng. in Automation from Zhejiang University, where I ranked first among 113 students in the “Mixed Class” honors program. I worked with Prof. Yuanchao Shu on bridging the gap between increasingly large AI models and resource-constrained mobile devices. I was awarded a ¥100,000 undergraduate research grant from the National Natural Science Foundation of China and contributed to the Confidant project, a collaborative LLM fine-tuning framework presented at MobiCom 2025.
I am actively looking for collaborations and internship opportunities in networking for AI. Feel free to contact me at yuyqin@student.ethz.ch
Direct PhD, Sep 2025 -
ETH Zürich
Visiting Student, July 2024 - Dec 2024
the University of Chicago
B.E. in Automation, Sep 2021 - June 2025
Zhejiang University
If you are to do important work then you must work on the right problem at the right time and in the right way. Without any one of the three, you may do good work but you will almost certainly miss real greatness.
-- A stroke of genius: striving for greatness in all you do by R.W. Hamming
A cool thing a day keeps motivation alive.
-- Yuyang Qin