Author

Lin Liu

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Conference Open access Sep 2026

PhyTTA: Physics-Informed Test-Time Adaptation of Foundation Models for Regional Drought Prediction

Drought prediction is crucial for disaster mitigation, yet it remains challenging because regional droughts reflect nonlinear interactions among precipitation supply, evaporative demand, and slowly varying land atmosphere states. Although time series foundation models (TSFMs) have shown strong zero shot performance in...

Wen-Tao Gao, Jiuyong Li, Lin Liu et al. · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Book Open access Jul 2026

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

A lightweight, black-box adaptation framework that enhances frozen TSFMs at inference time through two plug-and-play wrappers that consistently improves forecasting performance across several backbone models, demonstrating up to 26% mean squared error reduction over the corresponding frozen backbone while enabling prac...

Wen-Tao Gao, Jiu-Yong Li, Lin Liu et al. · Proceedings of the 32nd ACM... · 1 citation