2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
Jun Wang, Benedetta Tondi, Mauro Barni
Synthetic image attribution addresses the problem of tracing back the origin of images produced by generative models. Extensive efforts have been made to explore unique representat…
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
Lydia Abady, Jun Wang, Benedetta Tondi +1
Despite the wide variety of methods developed for synthetic image attribution, most of them can only attribute images generated by models or architectures included in the training…