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Author

Xinh Le

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Preprint Aug 2026

SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting

This work proposes SAGE (Seeing and Augmenting with Grounded Encoding), an end-to-end CLIP-based framework that jointly models temporal, cross-variable, textual, and visual information and achieves state-of-the-art accuracy.

Hai-Zhao Fan, Xinh Le · 0 citations
Review Open access 2026

Conceptual Relationship Between Classical Machine Learning and Graph Neural Networks in Out-of-Distribution Detection: A Comprehensive Survey

This survey provides a comprehensive overview of OOD detection methods, organizing them into traditional and deep learning families before examining graph-aware GNN-based approaches and synthesizing the conceptual relationships between these paradigms through three working hypotheses: graph-aware transfer, structure-se...

Mao Nguyen, T. Pham, Long Song Thien Nguyen et al. · 0 citations

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