Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis. - Keshun You; Guangqi Qiu; Yingkui Gu (Sensors, 2022)

Intelligent Deployment Solution for Tabling Adapting Deep Learning. - Keshun You; Liu Huizhong (IEEE Access, 2023)

Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning. - Keshun You; Guangqi Qiu; Yingkui Gu (Reliab. Eng. Syst. Saf., 2024)

Toward Efficient and Interpretative Rolling Bearing Fault Diagnosis via Quadratic Neural Network With Bi-LSTM. - Keshun You; Wang Puzhou; Ying-Kui Gu (IEEE Internet Things J., 2024)

DTMPI-DIVR: A digital twins for multi-margin physical information via dynamic interaction of virtual and real sound-vibration signals for bearing fault diagnosis without real fault samples. - Keshun You; Chenlu Li; Lin Yanghui; Guang-Qi Qiu; Gu Yingku (Expert Syst. Appl., 2025)

A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis. - Keshun You; Wang Puzhou; Huang Peng; Ying-Kui Gu (Reliab. Eng. Syst. Saf., 2025)