A new rotating machinery fault diagnosis method based on the Time Series Transformer. - Yuhong Jin; Lei Hou; Yushu Chen (CoRR, 2021)

A Wavelet Transform and self-supervised learning-based framework for bearing fault diagnosis with limited labeled data. - Yuhong Jin; Lei Hou; Ming Du; Yushu Chen (CoRR, 2022)

A Time Series Transformer based method for the rotating machinery fault diagnosis. - Yuhong Jin; Lei Hou; Yushu Chen (Neurocomputing, 2022)

Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation. - Haiming Yi; Lei Hou; Yuhong Jin; Nasser A. Saeed (CoRR, 2023)

Extended Dynamic Mode Decomposition with Invertible Dictionary Learning. - Yuhong Jin; Lei Hou; Shun Zhong (Neural Networks, 2024)

Invertible Koopman neural operator for data-driven modeling of partial differential equations. - Yuhong Jin; Andong Cong; Lei Hou; Qiang Gao; Xiangdong Ge; Chonglong Zhu; Yongzhi Feng; Jun Li (CoRR, 2025)

A modified Newmark/Newton-Raphson method with automatic differentiation for general nonlinear dynamics analysis. - Yifan Jiang; Yuhong Jin; Lei Hou; Yi Chen; Andong Cong (CoRR, 2025)