MeiHan Wu's research while affiliated with National University of Defense Technology and other places
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Publications (5)
Precipitation has an important impact on people’s daily life and disaster prevention and mitigation. However, it is difficult to provide more accurate results for rainfall nowcasting due to spin-up problems in numerical weather prediction models. Furthermore, existing rainfall nowcasting methods based on machine learning and deep learning cannot pr...
Citations
... Therefore, how to design robust and privacy-respecting models that can generalize well across diverse domains while protecting the sensitive information of individual clients or domains is worth investigating. Here are some approaches related to privacy-preserving FDG: Secure aggregation [218], differential privacy [219], privacy-aware model selection [220], privacy-preserving data preprocessing [221], and privacy regulations [222]. ...
Reference: Federated Domain Generalization: A Survey
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... Lotter W [8] introduced PredNet, a network for image sequence prediction, which incorporates an error representation layer and adopts a CNN-LSTM approach for image sequence prediction. Fuhan Zhang [9] proposed a dualinput dual-encoding recurrent neural network, which uses past rainfall data from automatic weather stations interpolated with radar echo data as input to predict grid rainfall for the next 2 hours. Wang Y [10] later introduced PredRNN, which designs ST-LSTM units superior to conventional LSTM structures, augmenting spatiotemporal memory states that flow both horizontally and vertically. ...
