Mingzhi Chen

Mingzhi Chen

Ph.D. Candidate

About Me

I am currently a Ph.D. candidate at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Prof. Jianing Qiu.

My research interests lie at the intersection of artificial intelligence and healthcare, with a focus on foundation models for physiological and brain signals, multimodal learning, and medical time-series modeling.

Before joining MBZUAI, I received my M.S. in Computer Science from Peking University and my B.Eng. in Optoelectronic Information Science and Engineering from South China University of Technology.

Publications

METIS overview figure
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, 2026 / Paper / Code
MedTS-TTT overview figure
MedTS-TTT: Test-Time Training for Medical Time Series Classification
Mingzhi Chen, Yiyu Gui, and Guibo Luo*.
MICCAI, 2026 / Paper / Code
LEGEND overview figure
LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising
Yiyu Gui, Mingzhi Chen, and Guibo Luo*.
MICCAI Oral, 2026 / Paper (to be updated) / Code
SPOTR overview figure
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

You can also find my publications on Google Scholar.

Education

  • Mohamed bin Zayed University of Artificial Intelligence, Ph.D. Candidate, 2026–present
    Advisor: Prof. Jianing Qiu.

  • Peking University, M.S. in Computer Science, 2023–2026.
    Advisors: Prof. Guibo Luo and Prof. Yuchao Yang.

  • South China University of Technology, B.Eng. in Optoelectronic Information Science and Engineering, 2019–2023.

Contact