Peican Zhu

Generating Out-of-Distribution Examples via Feature Crossover against Overconfidence Issue

2023

The problem of overconfident predictions on out-of-distribution (OOD) samples poses a significant challenge to the reliability and robustness of deep neural networks (DNNs). The reason for OOD overconfidence issue is that DNNs only learn the …

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs

2025

Source detection on graphs has demonstrated high efficacy in identifying rumor origins. Despite advances in machine learning-based methods, many fail to capture intrinsic dynamics of rumor propagation. In this work, we present SourceDetMamba: A Graph-aware …