Be open to changes, and learn from the best.
- 4th year Ph.D. candidate at the Institute for AI Industry Research (AIR), Tsinghua University.
- Advised by Prof. Yunxin Liu（刘云新）, working closely with Prof. Ting Cao（曹婷）.
- Received my B.E. degree from the Department of Electronic Engineering (EE), Tsinghua Univeristy in 2022.
- Interested in on-device and physical AI. Previous works focused on system efficiency:
- OxyGen: unified KV cache management for multi-task VLA inference. [paper] [code]
- Vec-LUT (MobiSys 2026): LUT-based mpGeMM kernel for ultra-low-bit LLM inference. [paper] [code] [model]
- FlexNN (MobiCom 2024): memory-adaptive DNN inference on edge devices. [paper] [code]
- Personal LLM Agent (Survey, "Efficiency" Section Lead). [paper] [repo]
- Currently focused on algorithm-system co-design toward generalist embodied agents.
Looking for opportunities in Embodied AI & AI Infra. Feel free to email me: lixiangy22@mails.tsinghua.edu.cn.
-
小红书：Xyu（3612640537）