| A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures S Li, R Snaiki, T Wu Computer‐Aided Civil and Infrastructure Engineering, 2021 | 67 | 2021 |
| Active Simulation of Transient Wind Field in a Multiple-Fan Wind Tunnel via Deep Reinforcement Learning S Li, R Snaiki, T Wu Journal of Engineering Mechanics 147 (9), 04021056, 2021 | 30 | 2021 |
| Real-time aerodynamics hybrid simulation: a novel wind-tunnel model for flexible bridges T Wu, S Li, M Sivaselvan Journal of Engineering Mechanics 145 (9), 04019061, 2019 | 25 | 2019 |
| Deep reinforcement learning-based decision support system for transportation infrastructure management under hurricane events S Li, T Wu Structural Safety 99, 102254, 2022 | 18 | 2022 |
| Revisiting aerodynamic admittance functions of bridge decks L Zhao, X Xie, T Wu, S Li, Z Li, Y Ge, A Kareem Journal of Zhejiang University-SCIENCE A 21 (7), 535-552, 2020 | 10 | 2020 |
| Active flutter control of long-span bridges via deep reinforcement learning: A proof of concept T Wu, J He, S Li Wind and Structures 36 (5), 321-331, 2023 | 4 | 2023 |
| Modeling Nonlinear Aeroelastic Forces for Bridge Decks with Various Leading Edges Using LSTM Networks X An, S Li, T Wu Applied Sciences 13 (10), 6005, 2023 | 3 | 2023 |
| Flow characteristics over flat building roof with different edge configurations for wind energy harvesting: A wind tunnel study S Li, WT Lu, BM Phillips, Z Jiang Energy and Buildings 323, 114789, 2024 | 1 | 2024 |
| A Risk-Informed Decision-Support Framework for Optimal Operation of Hurricane-Impacted Transportation Networks S Li, T Wu Natural Hazards Review 24 (3), 04023018, 2023 | 1 | 2023 |
| Physics-statistics-based hybrid simulation scheme of coupled nonstationary hurricane wind and wave fields for long-span floating bridges S Li, T Wu Intelligent Transportation Infrastructure 2, liad017, 2023 | 1 | 2023 |
| A Machine Learning-Based Hurricane-Resilient City S Li State University of New York at Buffalo, 2022 | 1 | 2022 |
| Optimizing Post-Hurricane Recovery of Interdependent Infrastructure Systems via Knowledge-Enhanced Deep Reinforcement Learning S Li, T Wu Advances in Wind Engineering, 100039, 2025 | | 2025 |
| Physical simulation of downburst winds for civil structures: A review S Li, RA Catarelli, BM Phillips, JA Bridge, KR Gurley Journal of Wind Engineering and Industrial Aerodynamics 254, 105900, 2024 | | 2024 |
| Numerical investigation of turbulence effect on flight trajectory of spherical windborne debris: A multi-layered approach S Li, K Gurley, Y Guo, J van de Lindt Probabilistic Engineering Mechanics 77, 103661, 2024 | | 2024 |
| Machine learning-enabled parameterization scheme for aerodynamic shape optimization of wind-sensitive structures: A-proof-of-concept study S Li, BM Phillips, Z Jiang Wind and Structures 39 (3), 175-190, 2024 | | 2024 |
| Hurricane Wave Loads on Spar-Type Floating Wind Turbines: A Comparison of Simulation Schemes S Li, T Wu Atmosphere 14 (10), 1550, 2023 | | 2023 |
| Fast Prediction of Solitary Wave Forces on Box-Girder Bridges Using Artificial Neural Networks M Lu, S Li, T Wu Water 15 (10), 1963, 2023 | | 2023 |
| Real-Time Decision Support System for Transportation Infrastructure Management under a Hurricane Event S Li, T Wu, K Sett Rutgers University. Center for Advanced Infrastructure and Transportation, 2022 | | 2022 |
| Real-Time Prediction of Storm Surge and Wave Loading on Coastal Bridges S Li, T Wu, K Sett Rutgers University. Center for Advanced Infrastructure and Transportation, 2021 | | 2021 |
Teng WuProfessor, Civil, Structural and Environmental Engineering, University at BuffaloVerified email at buffalo.edu
