Precipitation nowcasting remains challenging because precipitation systems exhibit strong nonlinear evolution, rapid development, and complex long-range spatiotemporal dependencies. Existing deep learning methods are still limited in characterizing precipitation dynamics and improving model interpretability. To address...
Kai Xie, Bo Yin, Yue Sun et al.· IEEE Journal of Selected Top...· 0 citations
Accurate nowcasting of high-intensity precipitation is critical for urban flood control and short-term hydrological risk management. However, the high stochasticity of convective systems poses a significant challenge for traditional deep learning models in generating accurate predictions. Existing regression-based mode...
Wenqi Li, Hai-Yong Zheng, Hai-Peng Cui et al.· Remote Sensing· 0 citations
Private set intersection (PSI) and its circuit variant (Circuit-PSI, CPSI) are core tools for privacy-preserving analytics. Unlike plain PSI that directly reveals intersecting elements, CPSI outputs secret shares of intersection indicators (and associated-value shares), which can be reused in subsequent MPC tasks witho...
Hai Zhang, Yi-Yun Guo, Li-Yan Shang et al.· International Conference on...· 0 citations
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