Journal Publications (Google Scholar Citations: over 5,000 as of 14, 07, 2024, with H-index at 35.):

  1. Jingcheng Wen, Jiaxin Ren, Zhibin Zhao*, Zhi Zhai, Xuefeng Chen. Residual-based adversarial feature decoupling for remaining useful life prediction of aero-engines under variable operating conditions[J]. Expert Systems with Applications, 2024: 124538.
  2. Fujin Wang, Zhi Zhai, Zhibin Zhao*, Yi Di, Xuefeng Chen*. Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis[J]. Nature Communications, 2024, 15(1): 4332.
  3. Jiafeng Tang, Zhibin Zhao*, Yanjie Guo, Chenxi Wang, Xingwu Zhang, Ruqiang Yan, Xuefeng Chen. Privacy-preserving federated transfer learning for defect identification from highly imbalanced image data in additive manufacturing[J]. Robotics and Computer-Integrated Manufacturing, 2024, 89: 102779.
  4. Jiaxin Ren, Jingcheng Wen, Zhibin Zhao*, Ruqiang Yan, Xuefeng Chen, Asoke K. Nandi. Uncertainty-Aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(6): 1-14.
  5. Fujin Wang, Zhi Zhai, Bingchen Liu, Shiyu Zheng, Zhibin Zhao*, Xuefeng Chen. Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries[J]. Journal of Energy Storage, 2024, 77: 109884.
  6. Chenxi Wang, Yuxiang Zhang, Zhibin Zhao*, Xuefeng Chen, Jiawei Hu. Dynamic model-assisted transferable network for liquid rocket engine fault diagnosis using limited fault samples[J]. Reliability Engineering & System Safety, 2024, 243: 109837.
  7. Chang Guo, Zhibin Zhao*, Jiaxin Ren, Shibin Wang, Yilong Liu, Xuefeng Chen. Causal explaining guided domain generalization for rotating machinery intelligent fault diagnosis [J]. Expert Systems with Applications, 2024, 243: 122806.
  8. Fujin Wang, Quanquan Zhi, Zhibin Zhao*, Zhi Zhai*, Yingkai Liu, Huan Xi, Shibin Wang, Xuefeng Chen. Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 232: 109046.
  9. Xingwu Zhang, Rui Ma, Yu Zhao, Chenxi Wang, Zhibin Zhao*, Xuefeng Chen. Differentiable sampling based efficient architecture search for automatic fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107214.
  10. Xinxian Chen, Xiaotian Shi, Jiafeng Tang, Zhibin Zhao*, Yanjie Guo*, Lei Yang. Fast robust enhanced trend filter: A promising tool for automatically extracting high precision friction coefficient under unknown noise[J]. Measurement, 2023, 220: 113384.
  11. Xingwu Zhang, Zhenjiang Leng, Zhibin Zhao*, Ming Li, Dan Yu, Xuefeng Chen. Spatial-temporal dual-channel adaptive graph convolutional network for remaining useful life prediction with multi-sensor information fusion[J]. Advanced Engineering Informatics, 2023, 57: 102120.
  12. Zuogang Shang, Zhibin Zhao*, Ruqiang Yan, Xuefeng Chen. Core loss: Mining core samples efficiently for robust machine anomaly detection against data pollution[J]. Mechanical Systems and Signal Processing, 2023, 189: 110046.
  13. Fujin Wang, Zhibin Zhao*, Zhi Zhai, Zuogang Shang, Ruqiang Yan, Xuefeng Chen. Explainability-driven model improvement for SOH estimation of lithium-ion battery[J]. Reliability Engineering & System Safety, 2023, 232: 109046.
  14. Yanjie Guo, Jiafeng Tang, Lei Yang*, Zhibin Zhao*, Miao Wang, Peng Shi. RobustFlow: An unsupervised paradigm toward real-world wear detection and segmentation with normalizing flow[J]. Tribology International, 2023, 179: 108173.
  15. Fujin Wang, Zhibin Zhao*, Jiaxin Ren, Zhi Zhai, Shibin Wang, and Xuefeng Chen. “A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradation trend,” Journal of Power Sources, 2022, 521: 230975.
  16. Fujin Wang, Zhibin Zhao*, Zhi Zhai, Yanjie Guo, Huan Xi, Shibin Wang, and Xuefeng Chen. "Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation, " Reliability Engineering & System Safety, 2023, 230(108897).
  17. Jian Yu, Lei Yang*, Zhibin Zhao*, Yanjie Guo, and Xiao Guo. “Monitoring on triboelectric nanogenerator and deep learning method,” Nano Energy, 2022, 92: 106698.
  18. Xiaotian Shi, Lu Xu, Haibo Xu, Chuan Jiang, Zhibin Zhao*, Yanjie Guo*, Xuefeng Chen. A 6-DOF humanoid wall-climbing robot with flexible adsorption feet based on negative pressure suction[J]. Mechatronics, 2022, 87: 102889.
  19. Zhibin Zhao, Shuming Wu, Baijie Qiao, Shibin Wang, and Xuefeng Chen, “Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis,” IEEE Transactions on Industrial Electronics, 2019, 66(3): 2143-2153.  (ESI)
  20. Zhibin Zhao, Baijie Qiao, Shibin Wang, Zhixian Shen, and Xuefeng Chen, “A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis,” Journal of Sound and Vibration, 2019, 446: 429-452.
  21. Zhibin Zhao, Shibin Wang, Chuang Sun, Ruqiang Yan, and Xuefeng Chen, “Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis,” IEEE Transactions on Instrumentation and Measurement, 2020, 69(2): 419-431.
  22. Zhibin Zhao, Shibin Wang, Botao An, Yanjie Guo, and Xuefeng Chen, “Hierarchical Hyper-Laplacian Prior for Weak Fault Feature Enhancement,” ISA transactions, 2020, 96: 429-443.
  23. Zhibin Zhao, Shibin Wang, Weixin Xu, Shuming Wu, David Wong, and Xuefeng Chen, "Sparsity-assisted Fault Feature Enhancement: Algorithm-aware versus Model-aware," IEEE Transactions on Instrumentation and Measurement, 2020 69(9): 7004 - 7014.
  24. Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, and Xuefeng Chen "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study," ISA Transactions, 2020, 107: 224-255. (ESI)
  25. Zhibin Zhao, Shibin Wang, David Wong, et al. "Robust Enhanced Trend Filtering With Unknown Noise," Signal Processing, 2021, 180: 107889.
  26. Zhibin Zhao, Jingyao Wu, Tianfu Li, Chuang Sun, Ruqiang Yan and Xuefeng Chen. "Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review," Chinese Journal of Mechanical Engineering, 2021, 34(1): 1-29.
  27. Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, et al. "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study," IEEE Transactions on Instrumentation and Measurement, 2021, 70: 3525828. (ESI)
  28. Zhibin Zhao, Shibin Wang, David Wong, et al. "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis," IEEE/ASME Transactions on Mechatronics, 2021, 27(4): 2333-2344.
  29. Zhibin Zhao, Tianfu Li, Botao An, Shibin Wang, Baoqing Ding, Xuefeng Chen. Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis[J]. ISA transactions, 2022, 129: 644-662.
  30. Zhibin Zhao, Darcy Murphy, Hugh Gifforf, Stefan Williams, Annie darlington, Samuel Rellton, and David Wong. "Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs," Physiological Measurement, 2022, 43(3): 034001.
  31. Zhibin Zhao, Weilin Liu, Jiaxin Ren, Chenxi Wang, Yixuan He, Xingwu Zhang, Xuefeng Chen. Uncertainty-driven trustworthy defect detection for high-resolution powder bed images in selective laser melting[J]. Journal of Manufacturing Systems, 2024, 72: 59-73.