Convolutional Gated Recurrent Unit-Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries. - Zhelin Huang; Fangfang Yang; Fan Xu 003; Xiangbao Song; Kwok-Leung Tsui (IEEE Access, 2019)

Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering. - Fan Xu 003; Xiangbao Song; Kwok-Leung Tsui; Fangfang Yang; Zhelin Huang (IEEE Access, 2019)

State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network. - Fangfang Yang; Xiangbao Song; Fan Xu 003; Kwok-Leung Tsui (IEEE Access, 2019)

Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion. - Fan Xu 003; Zhelin Huang; Fangfang Yang; Dong Wang 001; Kwok Leung Tsui (Appl. Soft Comput., 2020)

Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels. - Fan Xu 003; Xin Shu; Xin Li; Xiaodi Zhang (Complex., 2020)

Automatic Diagnosis of Microgrid Networks' Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering. - Fan Xu 003; Xin Shu; Xiaodi Zhang; Bo Fan (Complex., 2020)

Homecare-Oriented Intelligent Long-Term Monitoring of Blood Pressure Using Electrocardiogram Signals. - Xiaomao Fan; Hailiang Wang; Fan Xu 003; Yang Zhao 009; Kwok-Leung Tsui (IEEE Trans. Ind. Informatics, 2020)

Life prediction of lithium-ion batteries based on stacked denoising autoencoders. - Fan Xu 003; Fangfang Yang; Zicheng Fei; Zhelin Huang; Kwok-Leung Tsui (Reliab. Eng. Syst. Saf., 2021)