葉昕，男，溫州大學建築工程學院講師，2024年3月畢業於香港理工大學土木工程系，博士學位。
主要研究方向為基於深度學習的非線性建模與時序信號重構等。
基本介紹
研究方向,代表論著,
研究方向
結構振動控制、機器學習、深度學習。
代表論著
1、Ye X, Ni Y Q, Sajjadi M, et al. Physics-guided, data-refined modeling of granular material-filled particle dampers by deep transfer learning[J]. Mechanical Systems and Signal Processing, 2022, 180: 109437.
2、Ye X, Ni Y Q, Ao W K, et al. Modeling of the hysteretic behavior of nonlinear particle damping by Fourier neural network with transfer learning[J]. Mechanical Systems and Signal Processing, 2024, 208: 111006.
3、Li G Z, Ye X, Deng E, et al. Aerodynamic mechanism of a combined buffer hood for mitigating micro-pressure waves at the 400 km/h high-speed railway tunnel portal[J]. Physics of Fluids, 2023, 35(12).
4、Tan Y K, Wang Y L, Deng E, et al. Automatic damage detection and data completion for operational bridge safety using convolutional echo state networks[J]. Automation in Construction, 2024, 166: 105606.
