Phi Le Nguyen

A Multi-Institutional Multimodal EEG Benchmark for Foundation Model Generalization and Early Neurological Diagnosis

Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Quantification

Nonparametric Unsupervised Data Condensation for Gigapixel Histological Images

STELAR: Dual-space training EEG Foundation Models for Transferable Representations

ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data

NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions

FROM LOW TO HIGH-VALUE DESIGNS: OFFLINE OPTIMIZATION VIA GENERALIZED DIFFUSION

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship