Adaptive Boosting Based on Multi-class Neural Networks for IGBT Health Parameter Prediction. - Jilun Tian; Yuchen Jiang; Hao Luo 003; Shen Yin (ICIT, 2021)

Random Forest Regression for Battery State-of-Health Estimation Based on Unsupervised Transfer Component Analysis Domain Adaptation. - Jilun Tian; Jiusi Zhang; Cong-Sheng Huang; Mo-Yuen Chow; Hao Luo 003 (ICIT, 2022)

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition. - Jiusi Zhang; Xiang Li 084; Jilun Tian; Yuchen Jiang; Hao Luo 003; Shen Yin (Reliab. Eng. Syst. Saf., 2023)

A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions. - Jilun Tian; Yuchen Jiang; Jiusi Zhang; Shimeng Wu; Hao Luo 003 (IEEE Trans. Instrum. Meas., 2023)

A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics. - Jiusi Zhang; Jilun Tian; Minglei Li 002; Jose Ignacio León Galván; Leopoldo García Franquelo; Hao Luo 003; Shen Yin (IEEE Trans. Instrum. Meas., 2023)

An integrated multi-head dual sparse self-attention network for remaining useful life prediction. - Jiusi Zhang; Xiang Li 084; Jilun Tian; Hao Luo 003; Shen Yin (Reliab. Eng. Syst. Saf., 2023)

A Data-Driven Two-Stage Dynamometer Diagram Inference Approach for Variable Operational Conditions in Pumping Machines. - Jiusi Zhang; Hao Luo 003; Jilun Tian; Xinyu Qiao; Xiaoyi Xu; Yuchen Jiang; Shen Yin; Okyay Kaynak (ICPS, 2024)

A Feature Extraction and Analysis Method for Battery Health Monitoring. - Jilun Tian; Jiusi Zhang; Hao Luo 003; Cong-Sheng Huang; Mo-Yuen Chow; Yuchen Jiang; Shen Yin (ISIE, 2024)

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective. - Jiusi Zhang; Jilun Tian; Pengfei Yan; Shimeng Wu; Hao Luo 003; Shen Yin (Reliab. Eng. Syst. Saf., 2024)

A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM. - Jiusi Zhang; Cong-Sheng Huang; Mo-Yuen Chow; Xiang Li 084; Jilun Tian; Hao Luo 003; Shen Yin (IEEE Trans. Ind. Informatics, 2024)

A novel data augmentation approach to fault diagnosis with class-imbalance problem. - Jilun Tian; Yuchen Jiang; Jiusi Zhang; Hao Luo 003; Shen Yin (Reliab. Eng. Syst. Saf., 2024)

A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis. - Jilun Tian; Jiusi Zhang; Yuchen Jiang; Shimeng Wu; Hao Luo 003; Shen Yin (Reliab. Eng. Syst. Saf., 2024)

SIR-Aided Secure Transmission and Attack Detection for Security Management of Nonlinear Cyber-Physical System Using GRU Autoencoder. - Shimeng Wu; Hao Luo 003; Yuchen Jiang; Jiusi Zhang; Jilun Tian; Shen Yin (IEEE Trans. Ind. Informatics, 2024)

Coprime Factorization-Based Encryption and Attack Detection for Nonlinear Cyber-Physical Systems Using Deep Learning Approach. - Shimeng Wu; Hao Luo 003; Jiusi Zhang; Xinyu Qiao; Jilun Tian; Yuchen Jiang (IEEE Trans Autom. Sci. Eng., 2025)

Physics-Guided Soft Sensing-Aided Fault Diagnosis Framework of Sucker Rod Pumping System. - Jilun Tian; Meng Cai; Hao Luo 003; Xiaolong Hui; Xiaoyi Xu; Xinyu Qiao; Jiusi Zhang (IEEE Trans. Instrum. Meas., 2025)

A Transfer Gated Recurrent Unit Model for Battery Health Monitoring Under Cross-Domain Conditions. - Jilun Tian; Jiale Xie; Jiusi Zhang; Cong-Sheng Huang; Yuchen Jiang; Hao Luo 003; Mo-Yuen Chow; Shen Yin (IEEE Trans. Instrum. Meas., 2025)

A Fault Detection Approach for Nonlinear Systems Based on Deep Learning-Aided Kernel Representations. - Shimeng Wu; Yimin Zhu; Hao Luo 003; Hao Wang 198; Jiusi Zhang; Xinyu Qiao; Jilun Tian (IEEE Trans. Ind. Informatics, 2025)