Biography

I'm Muquan Yu (喻牧泉). I am currently a Ph.D. student in School of Computing and Data Science, The University of Hong Kong, supervised by Prof. Yizhou Yu. Prior to that, I received my B.Sc. in Computer Science from The Chinese University of Hong Kong. My research interests are broadly in Machine Learning, with a particular interest in Biologically Inspired AI Systems, Computer Vision, and Language Modeling.

News

• [2026.02] 🎉 One paper accepted by CVPR 2026.
• [2025.10] 🏆 I was awarded the Yao Fellowship, the highest honor in CSE department at CUHK！
• [2025.09] 🎉 One paper accepted by NeurIPS 2025.
• [2025.08] 🎉 One paper accepted by IEEE Transactions on Image Processing.
• [2025.07] 🚀 I have launched my personal website, stay tuned for more updates!

Blogs

• 🐞 Debug Diaries
  A log of my debugging experiences, solutions, and lessons learned from various technical challenges.


• 📒 Tech Field Notes
  Notes on various technical domains, tools, and best practices.


• Code & Commands
  A collection of my notes on programming languages and Linux command-line tools.
  

Research

Meta-Learning In-Context Enables Training-Free Cross Subject Brain Decoding

CVPR 2026

Mu Nan*, Muquan Yu*, Weijian Mai, Jacob S. Prince, Hossein Adeli, Rui Zhang, Jiahang Cao, Benjamin Becker, John A. Pyles, Margaret M. Henderson, Chunfeng Song, Nikolaus Kriegeskorte, Michael J. Tarr, Xiaoqing Hu, Andrew F. Luo
* Equal contribution

Paper Code

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex

NeurIPS 2025

Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo

Paper Code

Uni-ISP: Towards Unifying the Learning of ISPs from Multiple Mobile Cameras

IEEE Transactions on Image Processing

Lingen Li, Mingde Yao, Xingyu Meng, Muquan Yu, Tianfan Xue, Jinwei Gu

Paper Project Page Dataset