Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation. - Weihao Xuan; Feng Zhang 009; Hongye Zhou; Zhenhong Du; Renyi Liu (ISPRS Int. J. Geo Inf., 2021)

Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid. - Zhen Dai; Sensen Wu; Yuanyuan Wang; Hongye Zhou; Feng Zhang 009; Bo Huang 001; Zhenhong Du (Int. J. Geogr. Inf. Sci., 2022)

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators. - Xiang Huang; Zhuoyuan Li 005; Hongsheng Liu 002; Zidong Wang 010; Hongye Zhou; Bin Dong 001; Bei Hua (CoRR, 2023)

Dynamic mode decomposition and short-time prediction of PM 2.5 using the graph Neural Koopman network. - Yuhan Yu; Hongye Zhou; Bo Huang 001; Feng Zhang 009; Bin Wang (Int. J. Geogr. Inf. Sci., 2025)