Author

Phan Nguyen

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Preprint Aug 2026

NFAD: Nuisance-Filtered Anomaly Detection Under Distribution Shift

Results show that explicitly suppressing such nuisance variation improves AD under distribution shift while preserving strong performance in standard settings, and NFAD remains competitive on standard benchmarks that do not explicitly evaluate distribution shift, including VisA, Real-IAD, and MVTec AD.

Dat Cao, Son T. Nghiem, Phan Nguyen et al. · 0 citations

#artificial intelligence Jun 2026

A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction

AlignGAD is proposed, a zero-shot generalized graph anomaly detection framework that aligns heterogeneous node features and normalizes graph signals in the spectral domain and demonstrates the effectiveness of AlignGAD under the zero-shot GAD setting.

Phan Nguyen, Dat Cao, Hien Chu et al. · arXiv.org · 0 citations

Open access Jul 2026

Robust Prediction of Drug Interactions using Chemical Descriptors.

T-DDI pairs confidence-stratified predictions with LIME-based feature-level explanations and a web application for screening, supporting more reliable drug safety monitoring, and outperforming all evaluated baselines within the architectures and datasets considered here.

Q. Kha, Duc-Quang-Anh Nguyen, Phi Pham Van Hoang et al. · npj Digital Medicine · 0 citations