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Author

Selena He

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Conference Aug 2026

Are Temporal Graph Based Intrusion Detection Results Trustworthy? A Dataset Audit and Evaluation Framework

Temporal Graph Neural Networks (TGNNs) have been increasingly applied to network intrusion detection (NID), with some studies reporting accuracy exceeding 99%. This paper argues that such performance can be an artifact of dataset construction flaws rather than genuine model capability. We conduct an empirical audit of...

Yin-Ning Zhang, Sait Suer, S. M. T. F. A. Chowdhoury et al. · 0 citations
Jul 2026

UMCA-Net: Uncertainty-aware multi-stage cross-attention for cost-aware multi-omics data classification

This work proposes an uncertainty-aware multi-view dynamic decision framework for efficient and trustworthy disease classification that provides a scalable and practical solution for balancing diagnostic accuracy and economic cost, facilitating the deployment of multi-omics models in real-world clinical settings.

Yehong Huang, Huan Huang, Selena He et al. · 0 citations

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