Academic Qualification

Ph.D in Electrical and Computer Engineering, University of Macau, 2022.

MS in Electrical and Computer Engineering, University of Macau, 2017.

BS in Electrical and Electronics Engineering, University of Macau, 2014.

Teaching Area

CS120 Discrete Mathematics

MATH103 Calculus III

Research Area

Signal Processing; Brain-Computer Interface; Machine Learning

Working Experience

2023.01 - Present, Assistant Professor, School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology

Academic Publication

1.          Sepehr Asgarian, Ze Wang*, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang*, Charles X. Ling, "Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024.

2.          Wei Tao, Ze Wang, Chi Man Wong, Ziyu Jia, Chang Li, Xun Chen, C. L. Philip Chen, Feng Wan*, "ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain-Computer Interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024.

3.          Xucheng Liu, Ze Wang, Shun Liu, Lianggeng Gong, Pedro A. Valdes Sosa, Benjamin Becker, Tzyy-Ping Jung, Xi-jian Dai*, Feng Wan*, "Activation network improves spatiotemporal modelling of human brain communication processes," NeuroImage, 2024.

4.          Ze Wang, Chi Man Wong, Boyu Wang, Zhao Feng, Fengyu Cong, Feng Wan*, "Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023.

5.          Chi Man Wong, Ze Wang, Boyu Wang, Agostinho Rosa, Tzyy-Ping Jung, Feng Wan*, "Enhancing detection of multi-frequency-modulated SSVEP using phase difference constrained canonical correlation analysis," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023.

6.          Ze Wang, Chi Man Wong, Agostinho Rosa, Tao Qian, Tzyy-Ping Jung, Feng Wan*, "Stimulus-stimulus transfer based on time-frequency-joint representation in SSVEP-based BCIs," IEEE Transactions on Biomedical Engineering, 2022.

7.          Ze Wang, Chi Man Wong, Agostinho Rosa, Tao Qian, Feng Wan*, "Adaptive Fourier decomposition for multi-channel signal analysis," IEEE Transactions on Signal Processing, 2022.

8.          Chi Man Wong, Ze Wang, Masaki Nakanishi, Boyu Wang, Agostinho Rosa, Philip Chen, Tzyy-Ping Jung, Feng Wan*, "Online adaptation boosts SSVEP-based BCI performance," IEEE Transactions on Biomedical Engineering, 2022.

9.          Ze Wang, Chi Man Wong, Wenya Nan, Qi Tang, Agostinho Rosa, Peng Xu, Feng Wan*, "Learning curve of a short time neurofeedback training: Reflection of brain network dynamics based on phase locking value," IEEE Transactions on Cognitive and Developmental Systems, 2021.

10.      Chi Man Wong, Ze Wang, Agostinho Rosa, CL Philip Chen, Tzyy-Ping Jung, Yong Hu, Feng Wan*, "Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs," IEEE Transactions on Automation Science and Engineering, 2021.

11.      Yufan Peng, Ze Wang (co-first authors), Chi Man Wong, Wenya Nan, Agostinho Rosa, Peng Xu, Feng Wan*, Yong Hu, "Changes of EEG phase synchronization and EOG signals along the use of steady state visually evoked potential-based brain computer interface," Journal of Neural Engineering, 2020.

12.      Chi Man Wong, Ze Wang, Boyu Wang, Ka Fai Lao, Agostinho Rosa, Peng Xu, Tzyy-Ping Jung, C. L. Philip Chen, Feng Wan*, "Inter-and intra-subject transfer reduces calibration effort for high-speed SSVEP-based BCIs," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020.

13.      Chi Man Wong, Boyu Wang, Ze Wang, Ka Fai Lao, Agostinho Rosa, Feng Wan*, "Spatial Filtering in SSVEP-based BCIs: Unified Framework and New Improvements," IEEE Transactions on Biomedical Engineering, 2020.

14.      Chi Man Wong, Feng Wan*, Boyu Wang, Ze Wang, Wenya Nan, Ka Fai Lao, Peng Un Mak, Mang I Vai, Agostinho Rosa, "Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs," Journal of Neural Engineering, 2020.