I am currently a Ph.D. student in the School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, supervised by Asst. Prof. Guibo Luo and Prof. Yuchao Yang.

My research interests mainly include:

• Foundation models for physiological signals, including representation learning for EEG, iEEG, ECG, and PPG.
• EEG understanding and neural decoding, including EEG classification, cross-dataset generalization, and language-aligned EEG modeling.

我目前是北京大学深圳研究生院信息工程学院的博士生，导师是罗桂波助理教授和杨玉超教授。

我的研究兴趣主要包括：

• 面向生理信号的基础模型，包括 EEG、iEEG、ECG、PPG 等信号的表征学习。
• 脑电理解与神经解码，包括脑电分类、跨数据集泛化以及语言对齐的脑电建模。

Publications

LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising
Yiyu Gui, Mingzhi Chen, and Guibo Luo*.
MICCAI 2026 Oral / paper(to be updated) / Code

SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning
Yiyu Gui, Mingzhi Chen, Yuesheng Zhu, Guibo Luo* and Yuchao Yang*.
IJCAI-ECAI 2026 / Paper / Code

MedTS-TTT: Test-Time Training for Medical Time Series Classificationmed
Mingzhi Chen, Yiyu Gui, and Guibo Luo*.
MICCAI 2026 / Paper / Code

A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis
Mingzhi Chen, Yiyu Gui, Guibo Luo* and Yuchao Yang*.
Advanced Intelligent Systems / Paper / Code

You can also find more publications on my Google Scholar profile.

Education

• Peking University, Ph.D. Candidate, 2023-present
  Major: Computer Science and Technology.

• Zhejiang University, Bachelor of Engineering, 2019-2023
  Major: Optoelectronic Information Science and Engineering.

Contact

• Email: yiyugui@stu.pku.edu.cn
• GitHub: 5GYYYYY
• Google Scholar: Yiyu Gui