Biography

I am a first-year Ph.D. student in Electrical and Computer Engineering at Purdue University, advised by Prof. Ziran Wang. Prior to joining Purdue, I received my M.S. in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, and my B.E. in Digital Media Technology from Communication University of China.

My research interests lie at the intersection of foundation models, autonomous vehicles, and intelligent traffic systems.

📰 News

  • Aug 2026   Started my Ph.D. in Electrical and Computer Engineering at Purdue University.
  • Jul 2026   Our paper ScreenTutor: Learning Computer-Use Agents from Unlabeled Tutorial Videos was accepted to the COLM 2026 Workshop on Lifelong Agents.
  • May 2026   Received my M.S. in Electrical and Computer Engineering from the University of Michigan, Ann Arbor.
  • Mar 2025   Our paper Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-Generated Image Compression was published at DCC 2025.

🔬 Experience

Purdue Digital Twin Lab, Purdue University
Graduate Research Assistant
Advisor: Prof. Ziran Wang
Deep Learning Group, University of Michigan
Research Intern
Faculty Advisor: Prof. Honglak Lee
Research Mentor: Yeda Song, Ph.D. Candidate
Mobility Transformation Lab, University of Michigan
Research Intern
Faculty Advisor: Prof. Henry Liu
Research Mentor: Jiawei Wang, Ph. D.
State Key Laboratory of Media Convergence and Communication, Communication University of China
Research Assistant
Advisor: Prof. Qi Mao

📝 Publications

  • ScreenTutor: Learning Computer-Use Agents from Unlabeled Tutorial Videos
    ScreenTutor: Learning Computer-Use Agents from Unlabeled Tutorial Videos
    Yeda Song, Ryan Kwon*, Ruijie Chen*, Jaekyeom Kim, Lajanugen Logeswaran, Tiange Luo, Sungryull Sohn, Honglak Lee
    The 2nd Workshop on Lifelong Agents @ COLM, 2026
    Paper
  • Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-Generated Image Compression
    Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-Generated Image Compression
    Ruijie Chen, Qi Mao, Zhengxue Cheng
    Data Compression Conference (DCC), 2025
    Paper
  • Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision
    Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision
    Qi Mao, Chongyu Wang, Meng Wang, Shiqi Wang, Ruijie Chen, Libiao Jin, Siwei Ma
    IEEE Transactions on Image Processing (TIP), 2024
    Paper

*Equal contribution