Selected Neuroimaging Publications

Please visit my Google Scholar for full publications.

Transfer Learning in Brain Imaging

• HEEGNet: Hyperbolic Embeddings for EEG
  S Li, S Chu, O Koc, Y Ding, Q Zhao, M Kawanabe, Z Chen
  International Conference on Learning Representations (ICLR), 2026.

• SPDIM: Source-free Unsupervised Conditional and Label Shift Adaptation in EEG
  S Li, M Kawanabe, R Kobler
  International Conference on Learning Representations (ICLR), 2025.

• SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts
  S Li, S Chu, O Koc, C Liu, Q Zhao, M Kawanabe, M Kawato, Y Ding
  Preprint.

• Rectifying Geometric Misalignment: Online Source-Free Adaptation for Class-imbalanced EEG
  S Chu, S Li, M Kawanabe, R Kobler
  European Signal Processing Conference (EUSPICO), 2026.
  Invited Submission.

Multimodal Brain Imaging

• EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts
  R Zhou^†, S Li^†, G Huang, X Zhou, Q Zhao, M Kawanabe, Y Ding, C Guan
  International Conference on Machine Learning (ICML), 2026.
  Equal contribution.

Brain Foundation Models

• EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
  Y Tang, W Jiang, S Li, Y Li, C Liu, X Zhou, Y Ding, C Guan
  The AAAI Conference on Artificial Intelligence (AAAI), 2026.

• Process-conditioned Pretraining with Topographic Spatial Retrieval for Large EEG Models
  Y Ding, M Jiang, W Jiang, S Zhang, X Zhou, C Liu, S Li, Y Li, C Guan
  Neural Information Processing Systems (NeurIPS), 2026.