| Transformer-based tropical cyclone track and intensity forecasting W Jiang, D Zhang, G Hu, T Wu, L Liu, Y Xiao, Z Duan Journal of Wind Engineering and Industrial Aerodynamics 238, 105440, 2023 | 12 | 2023 |
| DMANet_KF: tropical cyclone intensity estimation based on deep learning and Kalman filter from multi-spectral infrared images W Jiang, G Hu, T Wu, L Liu, B Kim, Y Xiao, Z Duan IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 11 | 2023 |
| Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables W Jiang, B Liu, Y Liang, H Gao, P Lin, D Zhang, G Hu Applied Energy 353, 122155, 2024 | 9 | 2024 |
| A novel hybrid deep learning model for multi-step wind speed forecasting considering pairwise dependencies among multiple atmospheric variables W Jiang, P Lin, Y Liang, H Gao, D Zhang, G Hu Energy 285, 129408, 2023 | 6 | 2023 |
| Numerical study of flow characteristics of tornado-like vortices considering both swirl ratio and aspect ratio D Zhang, Z Liu, X Jiang, W Jiang, H Gao, C Li, Y Xiao, G Hu Journal of Wind Engineering and Industrial Aerodynamics 240, 105468, 2023 | 3 | 2023 |
| Urban wind field prediction based on sparse sensors and physics‐informed graph‐assisted auto‐encoder H Gao, G Hu, D Zhang, W Jiang, KT Tse, KCS Kwok, A Kareem Computer‐Aided Civil and Infrastructure Engineering, 2024 | 2 | 2024 |
| TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics X Zhong, W Jiang, J Zhang Journal of Wind Engineering and Industrial Aerodynamics 250, 105758, 2024 | | 2024 |
| Advancing storm surge forecasting from scarce observation data: A causal-inference based Spatio-Temporal Graph Neural Network approach W Jiang, J Zhang, Y Li, D Zhang, G Hu, H Gao, Z Duan Coastal Engineering 190, 104512, 2024 | | 2024 |
| Numerical study of dynamic amplification factor and characteristic wind curves of high-speed train in tornado-like vortices D Zhang, B Liu, Y Liang, W Jiang, H Gao, J Zhang, G Hu Journal of Wind Engineering and Industrial Aerodynamics 247, 105707, 2024 | | 2024 |
| Prediction of wind fields in mountains at multiple elevations using deep learning models H Gao, G Hu, D Zhang, W Jiang, H Ren, W Chen Applied Energy 353, 122099, 2024 | | 2024 |
Gang HUHarbin Institute of Technology (Shenzhen)在 hit.edu.cn 的电子邮件经过验证
