Yanteng Zhang — accepted AI-conference papers

2026

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding

Yuxiang Wei, Yanteng Zhang, Xi Xiao, Chengxuan Qian, Tianyang Wang, Vince D. Calhoun

CVPR 2026

Recent advances in multimodal large language models (LLMs) have enabled unified reasoning across images, audio, and video, but extending such capability to brain imaging remains largely unexplored. Bridging this gap is essential to link neural activity with semantic cognition and to develop cross-mo

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2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

YUXIANG WEI, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince Calhoun

NeurIPS 2025poster

Decoding visual experiences from fMRI offers a powerful avenue to understand human perception and develop advanced brain-computer interfaces. However, current progress often prioritizes maximizing reconstruction fidelity while overlooking interpretability, an essential aspect for deriving neuroscien…

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