About Me

I began my Ph.D. at the Institute for AI Industry Research (AIR), Tsinghua University in 2022, advised by Prof. Yunxin Liu (刘云新) and working closely with Prof. Ting Cao (曹婷). Before that, I earned my B.E. in Electronic Engineering from Tsinghua University.

My doctoral research focuses on systems optimization for on-device AI inference, with the goal of running frontier models efficiently on resource-constrained devices. Representative work includes FlexNN (MobiCom 2024), Vec-LUT (MobiSys 2026, Best Paper Award Runner-Up), and OxyGen (under review).

An overview of my doctoral work: MobiSys 2026 Rising Stars Forum

I am currently working on embodied AI, exploring efficient inference and deployment of embodied foundation models (VLAs and WAMs), as well as self-evolving physical-world agents built on top of them.

Feel free to reach out: lixiangy22@mails.tsinghua.edu.cn.

News

Awards

  • ACM MobiSys 2026 Best Paper Award Runner-Up, 2026/06
  • ACM MobiSys 2026 Student Travel Grant, 2026/05
  • 清华之友-智能产业研究院清智奖学金, 2025/12
  • 清华之友-济宁英才奖学金, 2025/11
  • 清华大学社会工作优秀奖学金, 2021/12
  • 第三十六届全国部分地区大学生物理竞赛非物理类A组特等奖(北京物理学会), 2019/12
  • 优秀艺术博物馆讲解志愿者(清华大学艺术博物馆紫荆志愿者服务总队), 2019/05
  • 清华大学2018级新生二等奖学金, 2018/12
  • 第三十四届全国中学生物理竞赛决赛三等奖(中国物理学会), 2017/11

Experiences

Internship

  • ByteDance, Big Data (Serverless/FaaS) Infrastructure Development, 2021/06–2021/09

Social Practice

Teaching Assistant

  • Tsinghua University, Computer Program Design (undergraduate), 2025 Spring & Summer
  • Tsinghua University, Basic Music Theory and Vocal Practice, 2023 Fall