
About Me
I am a final-year Ph.D. candidate in Computer Science at University of Illinois Urbana-Champaign, advised by Prof. Derek Hoiem.
I aim to build intelligent agents that plan under partial information, remember what matters, and draw on past experience to avoid repeating failures. More specifically:
Closed-loop Planning: How can models make decisions under partial information? Each decision must build on past observations while shaping what comes next.
Memory Representation: How can an agent compress its past into a compact, updatable state that preserves what matters and turns experience into reusable lessons?
Experience Retrieval: How do we recall useful past experiences while filtering out distractions?
I'm seeking full-time opportunities starting Summer 2027. If you're interested in my research or would simply like to connect, feel free to email me!
Selected Work
For the full publication list, please refer to my Google Scholar.
NeurIPS 2026ReToken: One Token to Improve Vision–Language Models for Visual Retrieval
Yao Xiao, Reuben Tan, Zhen Zhu, Yuqun Wu, Jianfeng Gao, Derek Hoiem
NeurIPS, 2026.
[TL;DR]
TMLR 2025🏅J2CTextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
Yao Xiao, Qiqian Fu, Heyi Tao, Yuqun Wu, Zhen Zhu, Derek Hoiem
TMLR, 2025. J2C certification (top 10%).
[TL;DR]Blog
- [Sep 17, 2026] 理想三旬
A casual blog for sharing thoughts and tracking my journey. No tech talk, just real life.
Teaching
Teaching Assistant for CS 441: Applied Machine Learning, Fall 2026, UIUC.
Teaching Assistant for CS 446: Machine Learning, Spring 2025, UIUC.
Services
Co-organizer: UIUC Computer Vision External Speaker Series, 2025 - 2026.
Reviewer: CVPR, ICCV, ECCV, ICLR, NeurIPS, WACV, IEEE Access.
ECCV 2026🏅Spotlight