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2020 – today
- 2024
[j7]Xufeng Huang
, Tingli Xie, Shuyang Luo, Jinhong Wu, Rongmin Luo, Qi Zhou:
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis. Eng. Appl. Artif. Intell. 133: 108212 (2024)- [j6]Xufeng Huang, Tingli Xie, Jinhong Wu, Qi Zhou, Jiexiang Hu:
Deep continuous convolutional networks for fault diagnosis. Knowl. Based Syst. 292: 111623 (2024) - 2023
- [j5]Tingli Xie, Xufeng Huang, Seung-Kyum Choi:
Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect. J. Comput. Inf. Sci. Eng. 23(3) (2023) - 2022
- [j4]Tingli Xie, Xufeng Huang, Seung-Kyum Choi:
Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network. IEEE Trans. Ind. Informatics 18(5): 3213-3223 (2022) - 2020
- [j3]Xufeng Huang, Qiang Lei, Tingli Xie, Yahui Zhang, Zhen Hu, Qi Zhou:
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images. Knowl. Based Syst. 204: 106230 (2020)
2010 – 2019
- 2018
- [j2]Tingli Xie, Ping Jiang, Qi Zhou, Leshi Shu, Yahui Zhang, Xiangzheng Meng, Hua Wei:
Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine. J. Comput. Inf. Sci. Eng. 18(4) (2018) - [j1]Ping Jiang, Tingli Xie, Qi Zhou, Xinyu Shao, Jiexiang Hu, Longchao Cao:
A space mapping method based on Gaussian process model for variable fidelity metamodeling. Simul. Model. Pract. Theory 81: 64-84 (2018) - 2016
- [c1]Jiexiang Hu, Qi Zhou, Ping Jiang, Tingli Xie:
An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling. CRC 2016: 86-90
Coauthor Index
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