22 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
Yifan Hu, Fukang Yin, Weimin Zhang +4
Long-term stability stands as a crucial requirement in data-driven medium-range global weather forecasting. Spectral bias is recognized as the primary contributor to instabilities,…
physics.ao-ph2024★ 22 cited
XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
Xiang Wang, Renzhi Wang, Ningzi Hu +16
The leading operational Global Ocean Forecasting Systems (GOFSs) use physics-driven numerical forecasting models that solve the partial differential equations with expensive comput…
cs.LG2021
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
Xiang Wang, Xiaoyong Li, Junxing Zhu +5
Real-world data usually have high dimensionality and it is important to mitigate the curse of dimensionality. High-dimensional data are usually in a coherent structure and make the…