Biography

I am currently a fourth-year Ph.D. student at the Department of Computer Science and Engineering of Shanghai Jiao Tong University, supervised by Prof. Bao-Liang Lu.

My research interests include Brain-Computer Interfaces and Machine Learning. I am currently working on EEG-based emotion recognition and general EEG foundation models.

Education

• Doctor of Engineering, Computer Science and Technology
  Department of Computer Science and Engineering
  Shanghai Jiao Tong University (2021.09 - Present)

• Visiting Ph.D. Student, Computer Science and Technology
  College of Computing and Data Science
  Nanyang Technological University (2024.10 - 2025.10)

• Bachelor of Engineering, Computer Science and Technology
  Zhiyuan College, ACM Class
  Shanghai Jiao Tong University (2017.09 - 2021.06)

Publications

(* denotes equal contribution)

2024:

• SEED-VII: A Multimodal Dataset of Six Basic Emotions with Continuous Labels for Emotion Recognition
  Wei-Bang Jiang*, Xuan-Hao Liu*, Wei-Long Zheng, and Bao-Liang Lu
  IEEE Transactions on Affective Computing (TAFFC) Paper Code Dataset

• REmoNet: Reducing Emotional Label Noise via Multi-regularized Self-supervision
  Wei-Bang Jiang*, Yu-Ting Lan*, and Bao-Liang Lu
  ACM International Conference on Multimedia (ACM MM) Paper

• Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
  Wei-Bang Jiang, Li-Ming Zhao, and Bao-Liang Lu
  International Conference on Learning Representations (ICLR) Spotlight Paper Code

• Functional Emotion Transformer for EEG-assisted Cross-modal Emotion Recognition
  Wei-Bang Jiang*, Ziyi Li*, Wei-Long Zheng, and Bao-Liang Lu
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Oral Paper

2023:

• Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on a Novel Dataset with Continuous Labels
  Wei-Bang Jiang, Xuan-Hao Liu, Wei-Long Zheng, and Bao-Liang Lu
  ACM International Conference on Multimedia (ACM MM) Paper Code Dataset

• Elastic Graph Transformer Networks for EEG-based Emotion Recognition
  Wei-Bang Jiang, Xu Yan, Wei-Long Zheng, and Bao-Liang Lu
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Paper

2021:

• Discriminating Surprise and Anger from EEG and Eye Movements with a Graph Network
  Wei-Bang Jiang, Li-Ming Zhao, Ping Guo, and Bao-Liang Lu
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Paper

Internship

• Microsoft Research Asia (MSRA), Artificial Intelligence & Machine Learning Group (2024.03 - 2024.08)
  Shanghai, China
  EEG foundation model

• HUAWEI (2020.07 - 2020.12)
  Hangzhou, China
  Image superresolution

Honors and Awards

• China Scholarship Council (CSC) scholarships, 2024
• Honorary scholarship of Zhiyuan College, 2017 - 2020
• Undergraduate excellent scholarship Level C, 2018 - 2020