Trung Quang Pham

This paper predicts table tennis player intentions using EEG and pose data, showing that a multi-modal ensemble improves prediction accuracy compared to single-modal approaches.

The paper investigates cross-domain consistency in aesthetic preferences and finds that preferences across art, faces, and scenes are governed by a domain-invariant latent structure.

This study shows that coactivation pattern analysis of resting brain fMRI data does not reliably indicate non-stationarity, as results are similar for real data and simulated stationary data.

This study compares CNNs to human brain activity to show that vision-to-value transformation is hierarchical, mirroring neural pathways from primary visual cortex to transmodal regions.