3 papers
cs.CV2026
Physics-Grounded Disentangled Flow Modeling for Brain Disease Progression Trajectory
Jun Wang, Peirong Liu
Forecasting longitudinal brain lesion evolution is critical for disease monitoring and treatment planning. Existing approaches typically learn a direct mapping from a baseline imag…
cs.LG2026
Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
Yang Qiu, Yixiong Zou, Jun Wang
Graph Neural Networks (GNNs) have achieved remarkable success across various graph-based tasks but remain highly sensitive to distribution shifts. In this work, we focus on a preva…
cs.CV2025
USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing
Jun Wang, Peirong Liu
Understanding the relationship between pathological and healthy brain structures is fundamental to neuroimaging, connecting disease diagnosis and detection with modeling, predictio…