A Meteorology-Driven Lstm For Predicting Time Series Of Vegetation Leaf Area Index In Land Surface Model. - Zhenhua Xiong; Qinchuan Xin; Zhicheng Zhang; Hanliang Gui (IGARSS, 2023)

Better representation of vegetation phenology improves estimations of annual gross primary productivity. - Hanliang Gui; Qinchuan Xin; Xuewen Zhou; Wei Wu; Zhenhua Xiong (Ecol. Informatics, 2024)

Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM. - Zhenhua Xiong; Zhicheng Zhang; Hanliang Gui; Peng Zhu; Ying Sun; Xuewen Zhou; Kun Xiao; Qinchuan Xin (Int. J. Digit. Earth, 2024)

A Meteorology-Driven Transformer Network to Predict Soil Moisture for Agriculture Drought Forecasting. - Zhenhua Xiong; Zhicheng Zhang; Hanliang Gui; Xiaoyou Chen; Shi Hu; Lun Gao; He Yang; Jianxiu Qiu; Qinchuan Xin (IEEE Trans. Geosci. Remote. Sens., 2025)