| A-PINN: Auxiliary Physics Informed Neural Networks for Forward and Inverse Problems of Nonlinear Integro-Differential Equations L Yuan, YQ Ni, XY Deng, S Hao Journal of Computational Physics 462, 111260, 2022 | 230 | 2022 |
| Diffuse Ultrasonic Wave-Based Damage Detection of Railway Tracks Using PZT/FBG Hybrid Sensing System X Sun, C Guo, L Yuan, Q Kong, Y Ni Sensors 22 (7), 2504, 2022 | 27 | 2022 |
| Reconstruction of 3D flow field around a building model in wind tunnel: a novel physics-informed neural network framework adopting dynamic prioritization self-adaptive loss … EZ Rui, ZW Chen, YQ Ni, L Yuan, GZ Zeng Engineering Applications of Computational Fluid Mechanics 17 (1), 2238849, 2023 | 16 | 2023 |
| Modeling of the hysteretic behavior of nonlinear particle damping by Fourier neural network with transfer learning X Ye, YQ Ni, WK Ao, L Yuan Mechanical Systems and Signal Processing 208, 111006, 2024 | 6 | 2024 |
| A novel computer vision-based vibration measurement and coarse-to-fine damage assessment method for truss bridges YQ Ni, WQ Liu, EZ Rui, L Yuan, SY Chen, YL Zheng Smart Structures and Systems, An International Journal 31 (4), 393-407, 2023 | 4 | 2023 |
| Structural damage inverse detection from noisy vibration measurement with physics-informed neural networks L Yuan, YQ Ni, EZ Rui, W Zhang Journal of Physics: Conference Series 2647 (19), 192013, 2024 | 1 | 2024 |
| Physics-enhanced multi-fidelity neural ordinary differential equation for forecasting long-term creep behavior of steel cables W Zhang, SM Wang, YQ Ni, X Yuan, Y Feng, L Yuan, S Hao Thin-Walled Structures 208, 112846, 2025 | | 2025 |
| Neural ODE-based data-driven approach for prediction of the creep behaviour of steel cables W Zhang, X Yuan, L Yuan, YQ Ni, SM Wang Proceedings of IASS Annual Symposia 2023 (13), 1-8, 2023 | | 2023 |
| From Initial to Final State: Single Step Prediction of Structural Dynamic Response LEI YUAN, YIQ NI, S HAO, WEIJIA ZHANG STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
| Structural Parameter Identification with a Physics-Informed Neural Networks-Based Framework W ZHANG, YIQ NI, LEI YUAN, S HAO, SUMEI WANG STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
| Full domain flow information recognition around buildings with sparse near-wall data through a physics-informed data-driven approach EZ Rui, ZW Chen, YQ Ni, L Yuan | | |
Yi-Qing Ni (倪一清)Chair Professor of Smart Structures and Rail Transit, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
