Author

Hai-Zhao Fan

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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

Preprint Aug 2026

SymbolLKG: Towards Verifiable Logical Reasoning via Logical Knowledge Graph and Symbolic Solvers

A Neuro-Symbolic architecture that integrates a Logical Knowledge Graph (LKG) with dynamic solver routing, and introduces an ontology-based LKG that treats logical rules and constraints as first-class topological nodes, enabling explicit modeling of dependencies extracted from text.

Hai-Zhao Fan, Yu-Chi Xiong, Jize Wang et al. · 0 citations