Sixiang Jia

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence.
BMC Medical Imaging
Yanping Yin, Sixiang Jia, Jing Zheng, Wei Wang, Ziwen Wang, Jiangbo Lin, Wenting Lin, Chao Feng, Shudong Xia, Weili Ge
2025 J jnl
Graph isomorphism wavelet convolutional networks for small-sample fault diagnosis of rotating machinery using multi-sensor information fusion.
Expert Syst. Appl.
Lei Gao, Zhihao Liu, Qinhe Gao, Hongjie Cheng, Jianyong Yao, Xiaoli Zhao, Sixiang Jia
2025 J jnl
Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method.
Reliab. Eng. Syst. Saf.
Sixiang Jia, Dingyi Sun, Khandaker Noman, Xin Wang, Yongbo Li
2025 J jnl
Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems.
Reliab. Eng. Syst. Saf.
Lei Gao, Qinhe Gao, Zhihao Liu, Hongjie Cheng, Jianyong Yao, Xiaoli Zhao, Sixiang Jia
2024 J jnl
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising.
Sensors
Qiting Zhou, Longxian Xue, Jie He, Sixiang Jia, Yongbo Li
2024 J jnl
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis.
Inf. Fusion
Dingyi Sun, Yongbo Li, Zheng Liu, Sixiang Jia, Khandaker Noman
2023 J jnl
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data.
Inf. Fusion
Dingyi Sun, Yongbo Li, Sixiang Jia, Ke Feng, Zheng Liu
2023 J jnl
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets.
Eng. Appl. Artif. Intell.
Gang Mao, Yongbo Li, Zhiqiang Cai, Bin Qiao, Sixiang Jia
2022 J jnl
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas.
Xiao Zhang, Jinrui Wang, Sixiang Jia, Baokun Han, Zongzhen Zhang
2022 J jnl
Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain.
Sensors
Gang Mao, Zhongzheng Zhang, Sixiang Jia, Khandaker Noman, Yongbo Li
2021 J jnl
A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery.
Entropy
Sixiang Jia, Jinrui Wang, Xiao Zhang, Baokun Han
2020 J jnl
A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation.
IEEE Access
Sixiang Jia, Jinrui Wang, Baokun Han, Guowei Zhang, Xiaoyu Wang, Jingtao He
2020 J jnl
Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization.
IEEE Access
Baokun Han, Xiaoyu Wang, Shanshan Ji, Guowei Zhang, Sixiang Jia, Jingtao He
2020 J jnl
Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation.
IEEE Access
Baokun Han, Guowei Zhang, Jinrui Wang, Xiaoyu Wang, Sixiang Jia, Jingtao He