Chris Liu
Papers
Blog
This and That
2026
January
Dissecting EEG-Language Models: Token Granularity, Model Size, and Cross-Site Generalization
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
2025
September
VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRI
May
Neural and Computational Mechanisms Underlying One-shot Perceptual Learning in Humans
2024
September
Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark
2023
October
Health system-scale language models are all-purpose prediction engines
2021
May
Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG