Author

Hao Yang

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Conference Aug 2026

AdaCal-GNN: Adaptive Confidence Calibration for Graph Neural Networks

Graph Neural Networks (GNNs) often produce poorly calibrated predictions, where the predicted probabilities do not accurately reflect the true likelihood of correctness. Recent studies indicate that miscalibration in GNNs exhibits a heterogeneous pattern: while neighborhood aggregation induces an overall underconfidenc...

Ji-Wei Li, Hao Yang, Li-Zhen Wu et al. · 2026 12th International Conf... · 0 citations

Sep 2026

Toward Improving Stochastic Neural Network Robustness via Arbitrary Distribution Injection.

Adversarial attacks pose significant challenges to the security and robustness of deep-learning models. Stochastic neural networks (SNNs) have shown promising effectiveness in improving robustness by injecting stochastic noise into model activations, features, or weights. However, most existing SNN-based defenses rely...

Rui Zhou, Hao Yang, Wen-Xu Wang et al. · IEEE Transactions on Neural... · 0 citations