I am Muyao Yuan (袁慕遥), a Ph.D. candidate in the MOEKLINNS Lab at Xi’an Jiaotong University, under the guidance of Prof. Weizhan Zhang. My research interests include model compression, model adaptation, and edge computing.

🔥 News

• 📅 [2025.05] 🎉 Our paper titled “InfoSAM: Fine-Tuning the Segment Anything Model from an Information-Theoretic Perspective” has been accepted as a Spotlight Poster at ICML 2025!

📝 Publications

InfoSAM: Fine-Tuning the Segment Anything Model from an Information-Theoretic Perspective. Y. Zhang*, M. Yuan*, W. Zhang, T. Gong, W. Wen, J. Ying, W. Shi In: International Conference on Machine Learning (ICML Spotlight), 2025 Project Page PDF Code

Adaptive Token Selection for Efficient Detection Transformer with Dual Teacher Supervision. M. Yuan, W. Zhang, C. Yan, T. Gong, Y. Zhang, J. Ying Knowledge-Based Systems (KBS), 2024 PDF Code

Lightweight Configuration Adaptation with Multi-teacher Reinforcement Learning for Live Video Analytics. Y. Zhang, W. Zhang, M. Yuan, L. Xu, C. Yan, T. Gong, H. Du IEEE Transactions on Mobile Computing (TMC), 2025 PDF

🏆 Selected Awards

• Outstanding Graduate, Xi’an Jiaotong University, 2022. [Certificate]
• First Prize Scholarship, Xi’an Jiaotong University, 2020. [Certificate]
• National Second Prize, WeChat Mini Program Development Competition, 2020. [Certificate]
• Samsung Scholarship, 2019. [Certificate]
• National Second Prize, Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM), 2019. [Certificate]
• First Prize, Chinese Physics Olympiad (CPhO), 2017. [Certificate]

📖 Educations

• 2022.09 – now, Xi’an Jiaotong University — PhD Candidate in Computer Science
  • Supervisor: Prof. Weizhan Zhang

• 2018.09 – 2022.06, Xi’an Jiaotong University — B.S. in Automation
  • GPA: 4.0/4.3 (Ranked 1th out of 180) [Transcript]