Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization. - Baokun Han; Xiaoyu Wang 007; Shanshan Ji; Guowei Zhang; Sixiang Jia; Jingtao He (IEEE Access, 2020)

Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation. - Baokun Han; Guowei Zhang; Jinrui Wang; Xiaoyu Wang 007; Sixiang Jia; Jingtao He (IEEE Access, 2020)

A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation. - Sixiang Jia; Jinrui Wang; Baokun Han; Guowei Zhang; Xiaoyu Wang 007; Jingtao He (IEEE Access, 2020)

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery. - Sixiang Jia; Jinrui Wang; Xiao Zhang; Baokun Han (Entropy, 2021)

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain. - Gang Mao; Zhongzheng Zhang; Sixiang Jia; Khandaker Noman; Yongbo Li (Sensors, 2022)

Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery. - Xiao Zhang; Jinrui Wang; Sixiang Jia; Baokun Han; Zongzhen Zhang (IEEE Trans. Instrum. Meas., 2022)

Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets. - Gang Mao; Yongbo Li; Zhiqiang Cai 003; Bin Qiao; Sixiang Jia (Eng. Appl. Artif. Intell., 2023)

Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data. - Dingyi Sun; Yongbo Li; Sixiang Jia; Ke Feng; Zheng Liu 002 (Inf. Fusion, 2023)

Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis. - Dingyi Sun; Yongbo Li; Zheng Liu 002; Sixiang Jia; Khandaker Noman (Inf. Fusion, 2024)

A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising. - Qiting Zhou; Longxian Xue; Jie He; Sixiang Jia; Yongbo Li (Sensors, 2024)

Graph isomorphism wavelet convolutional networks for small-sample fault diagnosis of rotating machinery using multi-sensor information fusion. - Lei Gao; Zhihao Liu; Qinhe Gao; Hongjie Cheng; Jianyong Yao; Xiaoli Zhao; Sixiang Jia (Expert Syst. Appl., 2025)

Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems. - Lei Gao; Qinhe Gao; Zhihao Liu; Hongjie Cheng; Jianyong Yao; Xiaoli Zhao; Sixiang Jia (Reliab. Eng. Syst. Saf., 2025)

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method. - Sixiang Jia; Dingyi Sun; Khandaker Noman; Xin Wang; Yongbo Li (Reliab. Eng. Syst. Saf., 2025)

Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence. - Yanping Yin; Sixiang Jia; Jing Zheng; Wei Wang; Ziwen Wang; Jiangbo Lin; Wenting Lin; Chao Feng; Shudong Xia; Weili Ge (BMC Medical Imaging, 2025)