An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling. - Jiexiang Hu; Qi Zhou 006; Ping Jiang 005; Tingli Xie (CRC, 2016)

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine. - Tingli Xie; Ping Jiang 005; Qi Zhou 006; Leshi Shu; Yahui Zhang; Xiangzheng Meng; Hua Wei (J. Comput. Inf. Sci. Eng., 2018)

A space mapping method based on Gaussian process model for variable fidelity metamodeling. - Ping Jiang 005; Tingli Xie; Qi Zhou 006; Xinyu Shao; Jiexiang Hu; Longchao Cao (Simul. Model. Pract. Theory, 2018)

Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images. - Xufeng Huang; Qiang Lei; Tingli Xie; Yahui Zhang; Zhen Hu; Qi Zhou 006 (Knowl. Based Syst., 2020)

Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network. - Tingli Xie; Xufeng Huang; Seung-Kyum Choi (IEEE Trans. Ind. Informatics, 2022)

Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect. - Tingli Xie; Xufeng Huang; Seung-Kyum Choi (J. Comput. Inf. Sci. Eng., 2023)

Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis. - Xufeng Huang; Tingli Xie; Shuyang Luo; Jinhong Wu; Rongmin Luo; Qi Zhou 006 (Eng. Appl. Artif. Intell., 2024)

Deep continuous convolutional networks for fault diagnosis. - Xufeng Huang; Tingli Xie; Jinhong Wu; Qi Zhou 006; Jiexiang Hu (Knowl. Based Syst., 2024)

Development of deep meta-learning framework for cross-domain multisensory systems. - Tingli Xie (2025)