1. Educational Background (in reverse chronological order)：

2003–2008: The University of Hong Kong, Electrical and Electronic Engineering, Doctoral Degree (Full-time)
2000–2003: University of Science and Technology of China，Information and Communication Engineering, Master Degree(Full-time)
1996–2000: Tianjin University，Electronic and Information Technology, Bachelor Degree

2. Work Experience (in reverse chronological order)：

2022–Present: School of Intelligent Science and Engineering, Harbin Institute of Technology (Shenzhen), Professor
2017–2021: School of Biomedical Engineering, Faculty of Medicine, Shenzhen University, Professor
2016–2017: School of Data and Computer Science, Sun Yat-sen University, Professor
2014–2015: School of Chemical and Biomedical Engineering, Nanyang Technological University (Singapore)， Assistant Professor
2011–2014: Department of Electrical and Electronic Engineering, The University of Hong Kong, Research Assistant Professor
2008–2010: Li Ka Shing Faculty of Medicine, The University of Hong Kong, Postdoctoral Fellow

Zhang Zhiguo, Ph.D., is a professor and doctoral supervisor in the School of Intelligent Science and Engineering at Harbin Institute of Technology (Shenzhen). He earned his Ph.D. in Electrical and Electronic Engineering from The University of Hong Kong and previously served as an assistant professor at Nanyang Technological University in Singapore. His research focuses on brain-computer interfaces, affective computing, and brain-like intelligence. He has led over 30 research projects, including four funded by NSFC, and has published more than 200 papers in IEEE Transactions and top-tier conferences such as NeurIPS, ACL, and AAAI. Research collaborations and applications from outstanding students in the fields of brain-computer interfaces, brain-inspired computing, and medical artificial.

1.Representative Publications (past 5-10 years, in order of impact)：
Wang JQ, Ma ZY, Shen XR, Zhou C, Zhao LL, Zhang H, Zhong Y, Cai CQ, Song ZX, Zhang ZG*, S2M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection, The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 10-15 Dec., 2025. (CCF-A, DOI: 10.48550/arXiv.2508.05164)
Song ZX, Qin RH, Ren HX, Liang Z, Guo Y, Zhang M, Zhang ZG*, EEG-MACS: Manifold Attention and Confidence Stratification For EEG-Based Cross-Center Brain Disease Diagnosis Under Unreliable Annotations, ACM Multimedia (ACM MM 2024), 28 Oct. - 1 Nov., Melbourne, Australia, 2024. (CCF-A, DOI: 10.1145/3664647.3681645)
Wang JQ, Song ZX*, Ma ZY, Qiu XP, Zhang M, Zhang ZG*, Enhancing EEG-to-text Decoding Through Transferable Representations from Pre-Trained Contrastive EEG-text Masked Autoencoder, Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 11-16 Aug., 2024. (CCF-A, DOI: 10.18653/v1/2024.acl-long.393)
Zhou RS#, Ye WS#, Zhang ZG#, Luo YY, Zhang L, Li LL, Huang G, Dong YN, Zhang YT, Liang Z*. EEGMatch: Learning with Incomplete Labels for Semi-supervised EEG-based Cross-subject Emotion Recognition. IEEE Transactions on Neural Networks and Learning Systems,2025, 36(7):12991-13005 (SCI Q1, DOI: 0.1109/TNNLS.2024.3493425)
Wei JW, Alamia A, Yao ZQ, Huang G, Li LL, Liang Z, Zhang L, Zhou CS, Song ZX*, Zhang ZG*. State-dependent Effects of Phase-shifted tACS on Prestimulus Alpha Traveling Waves and Visual Contrast Detection. Journal of Neuroscience, 2024,4(27):e2023232024(SCI Q1, DOI: 10.1523/JNEUROSCI.2023-23.2024)

2.Books/Monographs：
"EEG Signal Processing and Feature Extraction", Springer，Singapore, 2019, Editor.
4.Research Awards：
2024: Second Prize, Natural Science Award, Beijing Municipal Science and Technology Awards, Beijing Municipal People's Government, Sixth Completed Person
2021: First Prize, Natural Science Award, Outstanding Research Award in Science and Technology of Higher Education Institutions, Ministry of Education, Third Completed Person