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Yong Jiao

2 accepted papers

2026

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders

ICLR 2026poster

As large language models (LLMs) continue to revolutionize AI research, there is a growing interest in building large-scale brain foundation models to advance neuroscience. While most existing brain foundation models are pre-trained on time-series signals or connectome features, we propose a novel gr…

Cited by 0SourcecodeScholar
2025

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG

ICML 2025poster

Effectively utilizing extensive unlabeled high-density EEG data to improve performance in scenarios with limited labeled low-density EEG data presents a significant challenge. In this paper, we address this challenge by formulating it as a graph transfer learning and knowledge distillation problem.…

Cited by 0SourcePDFScholar