
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!
News
[Oct 8, 2026] I was recognized as a Top Reviewer for NeurIPS 2026.
Selected Work
For the full publication list, please refer to my Google Scholar.
NeurIPS 2026ReToken: Improving Long-Context VLMs with Visual Retrieval Token
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, also presented at NeurIPS 2026.
[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