Author

Teng-Xue Zhang

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#artificial intelligence Preprint Oct 2026

Adaptive Spectral-Koopman Dynamics Modeling for Temporal Domain Generalization

Temporal Domain Generalization (TDG) has emerged to address real-world streaming data with distribution shifts over time. However, existing methods are either prone to overfitting to domain-specific noise in the data space or become overly complex and less interpretable in the parameter space. To bridge these gaps, we...

Teng-Xue Zhang, Yun-Jie Ke, Yang Shu et al. · 0 citations

#machine learning Preprint Sep 2026

SIFT: Enhancing Time Series Foundation Models via Semantic Invariance and Structural Fidelity Fine-Tuning

Time Series Foundation Models (TSFMs) have achieved remarkable zero-shot performance through extensive pre-training on massive time series datasets. Nevertheless, due to the low-dimensional properties and diverse structural patterns of time series data, performing naive fine-tuning on TSFMs often leads to overfitting a...

Yi Tang, Teng-Xue Zhang, Yang Shu et al. · 0 citations