A Novel Technique for Data Visualization Based on SOM. - Guanglan Liao; Tielin Shi; Shiyuan Liu; Jianping Xuan (ICANN (1), 2005)

Feature selection and condition monitoring of gearbox using SOM. - Guanglan Liao; Tielin Shi; Jianping Xuan (IJCNN, 2005)

Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map. - Shiyuan Liu; Li Lu; Guanglan Liao; Jianping Xuan (ICONIP (1), 2006)

Application of a modified fuzzy ARTMAP with feature-weight learning for the fault diagnosis of bearing. - Zengbing Xu; Jianping Xuan; Tielin Shi; Bo Wu 006; Youmin Hu (Expert Syst. Appl., 2009)

A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique. - Zengbing Xu; Jianping Xuan; Tielin Shi; Bo Wu 006; Youmin Hu (Expert Syst. Appl., 2009)

A selective fuzzy ARTMAP ensemble and its application to the fault diagnosis of rolling element bearing. - Zengbing Xu; Yourong Li; Zhigang Wang; Jianping Xuan (Neurocomputing, 2016)

Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings. - Hongdi Zhou; Tielin Shi; Guanglan Liao; Jianping Xuan; Jie Duan 003; Lei Su 002; Zhenzhi He; Wuxing Lai (Sensors, 2017)

Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings. - Jie Duan 003; Tielin Shi; Hongdi Zhou; Jianping Xuan; Yongxiang Zhang (Sensors, 2018)

A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures. - Shoucong Xiong; Hongdi Zhou; Shuai He; Leilei Zhang; Qi Xia; Jianping Xuan; Tielin Shi (Sensors, 2020)

Obtaining More Accurate Thermal Boundary Conditions of Machine Tool Spindle Using Response Surface Model Hybrid Artificial Bee Colony Algorithm. - Leilei Zhang; Jianping Xuan; Tielin Shi (Symmetry, 2020)

Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm. - Zisheng Wang; Jianping Xuan (Adv. Eng. Informatics, 2021)

Wise-local response convolutional neural network based on Naïve Bayes theorem for rotating machinery fault classification. - Anas H. Aljemely; Jianping Xuan; Long Xu; Farqad K. J. Jawad; Osama Al-Azzawi (Appl. Intell., 2021)

Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis. - Yi Liao; Weiguo Huang; Changqing Shen; Zhongkui Zhu; Jianping Xuan; Lingfeng Mao 001 (IEEE Trans. Instrum. Meas., 2021)

Alternative multi-label imitation learning framework monitoring tool wear and bearing fault under different working conditions. - Zisheng Wang; Jianping Xuan; Tielin Shi (Adv. Eng. Informatics, 2022)

Multi-label fault recognition framework using deep reinforcement learning and curriculum learning mechanism. - Zisheng Wang; Jianping Xuan; Tielin Shi (Adv. Eng. Informatics, 2022)

Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis. - Lv Tang; Qing Zhang; Jianping Xuan; Tielin Shi; Rui Li (Knowl. Based Syst., 2022)

Intelligent fault diagnosis of rolling bearings based on LSTM with large margin nearest neighbor algorithm. - Anas H. Aljemely; Jianping Xuan; Osama Al-Azzawi; Farqad K. J. Jawad (Neural Comput. Appl., 2022)

A novel semi-supervised generative adversarial network based on the actor-critic algorithm for compound fault recognition. - Zisheng Wang; Jianping Xuan; Tielin Shi (Neural Comput. Appl., 2022)

An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion. - Qing Zhang; Lv Tang; Jianping Xuan; Tielin Shi; Rui Li (Reliab. Eng. Syst. Saf., 2023)

Transfer reinforcement learning method with multi-label learning for compound fault recognition. - Zisheng Wang; Qing Zhang; Lv Tang; Tielin Shi; Jianping Xuan (Adv. Eng. Informatics, 2023)

Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure. - Shaochen Li; Jianping Xuan; Qing Zhang; Zisheng Wang; Lv Tang; Tielin Shi (Adv. Eng. Informatics, 2024)

Noisy Open Set Adversarial Domain Adaption for Bearing Fault Diagnosis Based on Optimized Divergence. - Shaochen Li; Jianping Xuan; Zisheng Wang; Qing Zhang; Lv Tang (IEEE Trans. Instrum. Meas., 2024)

Biologically inspired compound defect detection using a spiking neural network with continuous time-frequency gradients. - Zisheng Wang; Shaochen Li; Jianping Xuan; Tielin Shi (Adv. Eng. Informatics, 2025)

Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing. - Zisheng Wang; Jianping Xuan; Tielin Shi (Expert Syst. Appl., 2025)

GCVIF: Pioneering Explainable Domain-Shared Representation Learning for Fault Signal Detection in Multiple Working States Simultaneously. - Qing Zhang; Lv Tang; Tan Chin-Hon; Tielin Shi; Jianping Xuan; Yu-Chao Cheng (IEEE Internet Things J., 2025)

Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition. - Zisheng Wang; Jianping Xuan; Tielin Shi; Yan-Fu Li (Reliab. Eng. Syst. Saf., 2025)

Fault Impulse Inference and Cyclostationary Approximation: A feature-interpretable intelligent fault detection method for few-shot unsupervised domain adaptation. - Qing Zhang; Shaochen Li; Tan Chin-Hon; Xiaofei Liu; Jingyuan Shen; Tielin Shi; Jianping Xuan (Reliab. Eng. Syst. Saf., 2025)

Blending-Target Domain Adaptation for Intelligent Fault Recognition With Minimum Cycle Spiking Encoding and Adversarial Attack. - Lv Tang; Qing Zhang; Shaochen Li; Jianping Xuan; Tielin Shi (IEEE Trans. Ind. Informatics, 2025)