I am Yizhuo Lu(卢一卓), a second year Ph.D. student at Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所), supervised by Prof. Huiguang He.

My research interest lies in visual neural decoding technology, also known as mind-reading. Currently, I have developed controllable and interpretable algorithms for decoding static images and dynamic videos based on large pre-trained multimodal models, all of which are tailored to individual subjects. To broaden the application of this technology in natural settings, I will continue to explore its adaptability across subjects and datasets.

I serve as a reviewer for international conferences and journals including IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Cognitive and Developmental Systems (TCDS), ICLR, ICCV, ACM MM. I have been collaborating with Dr. Changde Du and Dr. Liuyun Jiang on research projects. If you are interested in my research directions, please feel free to contact me via email to achieve meaningful outcomes together.

🚀 News

• 🎉 2025.03 One paper has been accepted by Information Fusion.
• 🚑 2025.01 Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity has been accepted by ICLR 2025.
• 🎉 2023.11 I secured the third prize in the presentation competition at the UCAS AI Forum’s Student Sub-forum.
• 🎉 2023.07 MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion has been accepted by ACM MM 2023.

📝 Publications

• 🐳 2025

• Yizhuo Lu, Changde Du^*, Chong Wang, Xuanliu Zhu, Liuyun Jiang, Xujin Li, Huiguang He

  Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity ICLR 2025. [Project Page], [Data, Code and Checkpoints]

• Xujin Li, Wei Wei, Kun Zhao, Jiayu Mao, Yizhuo Lu, Shuang Qiu, Huiguang He

  Exploring EEG and Eye Movement Fusion for Multi-Class Target RSVP-BCI Information Fusion 2025

• 🐳 2023

• Yizhuo Lu, Changde Du^*, Qiongyi zhou, Dianpeng Wang, Huiguang He

  MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion has been accepted by ACM MM 2023. [Code and Results]

📈 Educations

• 🐳 Institute of Automation, Chinese Academy of Sciences, 2023.09 - 2028.06 (Expected), Ph.D. student, Pattern Recognition and Intelligent System.

  I was selected for the CASIA Artificial Intelligence Elite Class (20/2050) and interned in Professor Huiguang He’s research group. My internship project won the first prize in the 2022-2023 Science and Innovation Program.

• 🐳 North Carolina State University, 2022.01 - 2022.03.

  As the project leader, I secured the second place in the final project presentation.[PDF]

• 🐳 Massachusetts Institute of Technology, 2021.07 - 2021.09.

• 🐳 Beijing Institute of Technology, 2019.09 - 2023.06, B.E. degree, Mathematics and Statistics.

  I achieved a ranking of 2nd out of 64 with an average score of 91.16/100. I was awarded the highest scholarship in the School of Mathematics and Statistics: the Fei Zhenyong Scholarship (5/300). Additionally, I received the honors of “Outstanding Graduate of Beijing” and “Outstanding Graduate Thesis of Beijing.”

📸 Honors

• 攀登二等奖学金
• 北京市优秀本科毕业生
• 北京市优秀本科毕业论文
• 费振勇奖学金（5/300）
• 三星奖学金（5/500）
• 中国科学院人工智能菁英班奖学金（20/2050）
• 北京理工大学“优秀学生”（20/120）
• 北京理工大学一等奖学金*3（5%）