A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis. - Ruixin Wang; Hongkai Jiang; Zhenning Li 004; Yunpeng Liu (ICPHM, 2022)

An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data. - Xingqiu Li; Hongkai Jiang; Yuan Liu; Tongqing Wang; Zhenning Li 004 (Knowl. Based Syst., 2022)

Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method. - Zhenning Li 004; Hongkai Jiang; Shaowei Liu; Ruixin Wang (ICPHM, 2023)

Hypersonic flight vehicle intelligent fault diagnosis with imbalance data. - Yutong Dong; Hongkai Jiang; Zhenning Li 004 (ICPHM, 2025)

Spatio-Temporal Reinforcement Learning for Aero-Engine Remaining Useful Life Prediction. - Yunpeng Liu; Hongkai Jiang; Zhenning Li 004; Haidong Shao; Ke Zhao; Wenxin Jiang (ICPHM, 2025)

A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis. - Zhenning Li 004; Hongkai Jiang; Yutong Dong (Expert Syst. Appl., 2025)

A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation. - Zhenning Li 004; Hongkai Jiang; Xin Wang 129 (Reliab. Eng. Syst. Saf., 2025)