A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application. - Yongxiang Lei; Lihui Cen; Xiaofang Chen; Yongfang Xie (IEEE Access, 2019)

A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification. - Yongxiang Lei; Xiaofang Chen; Mengcan Min; Yongfang Xie (Neurocomputing, 2020)

An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine. - Yongxiang Lei; Xiaofang Chen; Yongfang Xie (J. Syst. Control. Eng., 2021)

A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application. - Yongxiang Lei; Hamid Reza Karimi; Xiaofang Chen (Neurocomputing, 2022)

Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine. - Yongxiang Lei; Fang Liu; Hamid Reza Karimi; Xiaofang Chen (J. Syst. Control. Eng., 2022)

Intelligent Optimal Framework for the Industrial Mining Plant-Wide Prediction Control. - Yongxiang Lei (IEEE Trans. Instrum. Meas., 2023)

A wave forecasting method based on probabilistic diffusion LSTM network for model predictive control of wave energy converters. - Yongxiang Lei (Appl. Soft Comput., 2024)