Dr Wei Zhang | Homepage

Wei Zhang(张维)

Research Fellow

I am a research fellow at NTU, working at the intersection of neuroscience, AI, and brain-computer interfaces. My research focuses on understanding the spatiotemporal neural dynamics of human cognition using multimodal neuroimaging (EEG, fMRI, MEG, PET), and translating these insights into non-invasive speech decoding BCIs.

I received my BS in Engineering Physics from Tsinghua University, and my PhD in medical imaging from the University of Chinese Academy of Sciences, mentored by Prof. Baoci Shan. I currently work with Prof. Cuntai Guan, Prof. Victoria Leong, and Prof. Balazs Gulyas.

Multimodal Neuroimaging Covert Speech Decoding Brain-Computer Interfaces EEG-fMRI Integration AI for Neuroscience Infant Brain Development

Study design figure: Adult-to-infant neural coupling in social learning

Adult-to-infant unidirectional neural coupling mediates selective social learning in infants from the United Kingdom and Singapore

W. Zhang, K. Clackson, S. Georgieva, L. Santamaria, V. Reindl, V. Noreika, N. Darby, V. Valsdóttir, P. Santhanakrishnan, V. Leong*

Nature Communications, 2026 · 17(1):7558 · IF = 18.9

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Study design figure: Spatiotemporal encoding of covert speech

Spatiotemporal encoding signatures of covert speech revealed by source-localized EEG and fMRI

W. Zhang, M. Jiang, K.A.C. Teo, R. Bhuvanakantham, Z. Guo, S. Zhang, C.H.V. Foo, V. Leong, J. Lu, B. Gulyás, C. Guan*

Communications Biology, 2026 · published online 6 Oct 2026 · IF = 6.3

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Study design figure: Covert vs overt speech in simultaneous EEG-fMRI

Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous EEG-fMRI study

W. Zhang, M. Jiang, K.A.C. Teo, R. Bhuvanakantham, L.G. Fong, W.K.J. Sim, ...

NeuroImage, 2024 · 293:120629 · IF = 6.6

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Study design figure: Sea-level brain predictors of acute mountain sickness

Investigating sea-level brain predictors for acute mountain sickness: A multimodal MRI study

W. Zhang, J. Feng, W. Liu, S. Zhang, X. Yu, J. Liu, B. Shan, L. Ma

American Journal of Neuroradiology, 2024 · 45(6):809–818 · IF = 3.8

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Study design figure: Deep learning on FDG-PET for uncertain Alzheimer’s cases

Deep learning with ¹⁸F-FDG-PET gives valid diagnoses for the uncertain cases in memory impairment of Alzheimer's disease

W. Zhang, T. Zhang, T. Pan, S. Zhao, B. Nie, H. Liu, B. Shan, ...

Frontiers in Aging Neuroscience, 2021 · 13:764272 · IF = 5.6

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Study design figure: Contrastive graph pooling for brain networks

Contrastive Graph Pooling for Explainable Classification of Brain Networks

J. Xu, Q. Bian, X. Li, A. Zhang, Y. Ke, M. Qiao, W. Zhang, W.K.J. Sim, B. Gulyás

IEEE Transactions on Medical Imaging, 2024 · 43(9):3292–3305

PDF DOI

Study design figure: Decoding covert speech with a spatio-temporal transformer

Decoding Covert Speech From EEG by Functional Areas Spatio-Temporal Transformer

M. Jiang, W. Zhang, Y. Ding, K.A.C. Teo, L.G. Fong, S. Zhang, Z. Guo, C. Liu, R. Bhuvanakantham, W.K.J. Sim, ..., B. Gulyás, C. Guan

IEEE Journal of Biomedical and Health Informatics, 2026 · 30(6):4974–4984

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In progress

Ongoing project

STARS-LLM: modeling mother-infant interaction

LLM-based modeling of mother-infant interaction and neural coupling, extending dual-brain EEG toward developmental risk prediction and interpretable social AI.

LLMDyadic InteractionDevelopment

In progress

Ongoing project

Lower-limb motor imagery and gait decoding

EEG decoding of lower-limb motor imagery and imagined walking for non-invasive rehabilitation and BCI applications.

EEGMotor ImageryRehabilitation

Wei Zhang(张维)

Contact

Education & Experience

Research Fellow · Nanyang Technological University

Ph.D. in Medical Imaging · University of Chinese Academy of Sciences

B.S. in Engineering Physics · Tsinghua University

Research & Publications

STARS-LLM: modeling mother-infant interaction

Lower-limb motor imagery and gait decoding

Academic Activities

Teaching

Membership & Talks

Journal Reviewer