Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction. - Guangyin Jin; Zhexu Xi; Hengyu Sha; Yanghe Feng; Jincai Huang 001 (CoRR, 2020)

Spatial Modelling and Microstructural Modulation of Porous Pavement Materials for Seepage Control in Smart Cities. - Zhexu Xi (IntelliSys (3), 2021)

Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models. - Zhexu Xi (CoRR, 2021)

Deep multi-view graph-based network for citywide ride-hailing demand prediction. - Guangyin Jin; Zhexu Xi; Hengyu Sha; Yanghe Feng; Jincai Huang 001 (Neurocomputing, 2022)

Adaptive Dual-View WaveNet for urban spatial-temporal event prediction. - Guangyin Jin; Chenxi Liu 003; Zhexu Xi; Hengyu Sha; Yanyun Liu; Jincai Huang 001 (Inf. Sci., 2022)

Urban hotspot forecasting via automated spatio-temporal information fusion. - Guangyin Jin; Hengyu Sha; Zhexu Xi; Jincai Huang 001 (Appl. Soft Comput., 2023)