Nizhuan Wang

Nizhuan Wang

Research Assistant Professor

Department of Language Science and Technology

The Hong Kong Polytechnic University, China

About the Speaker:

Dr Nizhuan WANG is currently serving as a Research Assistant Professor in the Department of Language Science and Technology (LST) at The Hong Kong Polytechnic University, Hong Kong SAR, China. Prior to this role, he held positions at Shenzhen University as an Assistant Professor, Jiangsu Ocean University as a full Professor, and ShanghaiTech University as an Associate Researcher from 2016 to 2024.

He is a senior member of Chinese Biomedical Engineering Society, a member of Chinese Artificial Intelligence Society, a member of Chinese Neuroscience Society, a member of the board of the Shanghai Association for Noetic Science, a member of OHBM and IEEE, the Program Committee member of 2018 IEEE International Conference on Information and Automation (ICIA), 2022 Chinese Conference on Biometric Recognition (CCBR), 2025 Pacific Asia Conference on Language, Information and Computation (PACLIC), and 2026 AAAI Conference on Artificial Intelligence (AAAI 2026), the Session Chairs of 2017 IEEE ICIA and 2018 ICIS, the Keynote Speaker of 2020 ICMLCA, the Program Committee Chair and Keynote Speaker of 2021 ICBIC, Keynote Speaker of 2022 ICBIC. He has published over 90 scientific papers in many journals and conferences, i.e., IEEE TMI, IEEE TIM, IEEE TBME, IEEE JBHI, IEEE TNSRE, J Med Internet Res, Neural Netw, Hum Brain Mapp, Magn Reson Imaging, Brain Lang, J Neurolinguistics, AAAI, MICCAI, IEEE ICME, IEEE BIBM etc. He serves as the reviewer of many top journals such as Nat Comput Sci, Neuroimage, Hum Brain Mapp, IEEE Transactions, MED IMAGE ANAL, etc.

Research interests:

Artificial Intelligence

Brain-Computer Interface

Intelligent Analysis of Multi-modal Neural Signals

Compactional Linguistics

Depression

Neural Engineering

Neurodegenerative Diseases

Neurodevelopmental Disorders

Neurolinguistics and Associated Disorders

Medical Big Data Analysis

Migraine

Occupational Neuroplasticity

Selected Recent Publications:

1. Cai L, Zeng W, Chen H, Zhang H, Li Y, Feng Y, Yan H, Bian L, Ting Siok W, Wang N (2025) MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction. IEEE Trans Med Imaging 44:3705-3716.

2. Dong W, Li Y, Zeng W, Chen L, Yan H, Siok WT, Wang N (2025) STARFormer: A novel spatio-temporal aggregation reorganization transformer of FMRI for brain disorder diagnosis. Neural Netw 192:107927.

3. Chen H, Zeng W, Chen C, Cai L, Wang F, Shi Y, Wang L, Zhang W, Li Y, Yan H, Siok WT, Wang N (2025) EEG Emotion Copilot: Optimizing lightweight LLMs for emotional EEG interpretation with assisted medical record generation. Neural Netw 192:107848.

4. Mubonanyikuzo V, Yan H, Komolafe TE, Zhou L, Wu T, Wang N (2025) Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis. J Med Internet Res 27:e62647.