A unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping. - Yi He; Zhanao Zhao; Wang Yang 003; Haowen Yan; Wenhui Wang; Sheng Yao; Lifeng Zhang; Tao Liu (Int. J. Appl. Earth Obs. Geoinformation, 2021)

A Deep Convolutional Neural Network With Multiscale Feature Dynamic Fusion for InSAR Phase Filtering. - Wang Yang 003; Yi He; Lifeng Zhang; Sheng Yao; Zhiqing Wen; Shengpeng Cao; Zhanao Zhao; Yi Chen; Yali Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A ConvLSTM Neural Network Model for Spatiotemporal Prediction of Mining Area Surface Deformation Based on SBAS-InSAR Monitoring Data. - Sheng Yao; Yi He; Lifeng Zhang; Wang Yang 003; Yi Chen; Qiang Sun; Zhanao Zhao; Shengpeng Cao (IEEE Trans. Geosci. Remote. Sens., 2023)

An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features. - Yi He; Zhanao Zhao; Qing Zhu; Tao Liu; Qing Zhang; Wang Yang 003; Lifeng Zhang; Qiang Wang (Int. J. Digit. Earth, 2024)