| Physics-guided, data-refined modeling of granular material-filled particle dampers by deep transfer learning X Ye, YQ Ni, M Sajjadi, YW Wang, CS Lin Mechanical Systems and Signal Processing 180, 109437, 2022 | 22 | 2022 |
| Aerodynamic mechanism of a combined buffer hood for mitigating micro-pressure waves at the 400 km/h high-speed railway tunnel portal GZ Li, X Ye, E Deng, WC Yang, YQ Ni, H He, WK Ao Physics of Fluids 35 (12), 2023 | 13 | 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 |
| Automatic damage detection and data completion for operational bridge safety using convolutional echo state networks YK Tan, YL Wang, E Deng, X Ye, Y Zhang, YQ Ni Automation in Construction 166, 105606, 2024 | | 2024 |
| Deep learning-based investigation of an innovative rail damper using particle damping technology for noise and vibration control X Ye Hong Kong Polytechnic University, 2024 | | 2024 |
| Echoformer: An Echo State-Embedded Transformer for Robust Reconstruction of Railway Trackside Noise on Urban Metro Lines X Ye, YK Tan, YQ Ni Available at SSRN 4988593, 0 | | |
| Experimental Evaluation On Broadband Noise And Vibration Reduction Performance Of A Novel Rail Particle Damper Through An In-Situ Test SMS ALEHASHEM, X YE, C ZHANG, YQ NI | | |