Cuong Do — accepted AI-conference papers

2026

DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics

Hai Nguyen Hong, Duong Bach, Nam Phan, Cuong V. Nguyen, Cuong Do

AAAI 2026technical

For artificial intelligence to be safely deployed in high-risk domains, it must reliably know its limits. Selective prediction, or learning with a reject option, addresses this by enabling a model to abstain from prediction on inputs it deems unreliable, deferring them to a human expert. While deep

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2024

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization

Khiem Le, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong

CVPR 2024poster

Domain shift is a formidable issue in Machine Learning that causes a model to suffer from performance degradation when tested on unseen domains. Federated Domain Generalization (FedDG) attempts to train a global model using collaborative clients in a privacy-preserving manner that can generalize wel…

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