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cs.LG2026
A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting
Zhihao Lin, Li Lin, Qi Zhang +3
Time series foundation models (TSFMs) have recently delivered impressive zero-shot performance across diverse forecasting tasks. However, real-world decision-making frequently reli…
cs.LG2022
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction
Shengzhe Wang, Ling Wang, Zhihao Lin +1
Existing Deep Neural Nets on crops growth prediction mostly rely on availability of a large amount of data. In practice, it is difficult to collect enough high-quality data to util…