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

A Sequential Sampling Strategy for Multiresponse Radial Basis Function. - Yahui Zhang; Jiexiang Hu; Qi Zhou 006; Ping Jiang 005 (ISCID (2), 2016)

A variable fidelity information fusion method based on radial basis function. - Qi Zhou 006; Ping Jiang 005; Xinyu Shao; Jiexiang Hu; Longchao Cao; Li Wan (Adv. Eng. Informatics, 2017)

A multi-fidelity information fusion metamodeling assisted laser beam welding process parameter optimization approach. - Qi Zhou 006; Yang Yang 078; Ping Jiang 005; Xinyu Shao; Longchao Cao; Jiexiang Hu; Zhongmei Gao; Chao-Chao Wang (Adv. Eng. Softw., 2017)

A sequential multi-fidelity metamodeling approach for data regression. - Qi Zhou 006; Yan Wang 029; Seung-Kyum Choi; Ping Jiang 005; Xinyu Shao; Jiexiang Hu (Knowl. Based Syst., 2017)

An active learning radial basis function modeling method based on self-organization maps for simulation-based design problems. - Qi Zhou 006; Yan Wang 029; Ping Jiang 005; Xinyu Shao; Seung-Kyum Choi; Jiexiang Hu; Longchao Cao; Xiangzheng Meng (Knowl. Based Syst., 2017)

An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS. - Ping Jiang 005; Yahui Zhang; Qi Zhou 006; Xinyu Shao; Jiexiang Hu; Leshi Shu (Appl. Intell., 2018)

An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization. - Leshi Shu; Ping Jiang 005; Qi Zhou 006; Xinyu Shao; Jiexiang Hu; Xiangzheng Meng (Appl. Soft Comput., 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)

A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion. - Quan Lin; Dawei Hu; Jiexiang Hu; Yuansheng Cheng; Qi Zhou 006 (Adv. Eng. Informatics, 2021)

A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems. - Ji Cheng 001; Ping Jiang 005; Qi Zhou 006; Jiexiang Hu; Leshi Shu (Appl. Soft Comput., 2021)

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. - Quan Lin; Jiexiang Hu; Qi Zhou 006; Yuansheng Cheng; Zhen Hu; Ivo Couckuyt; Tom Dhaene (Knowl. Based Syst., 2021)

An ensemble weighted average conservative multi-fidelity surrogate modeling method for engineering optimization. - Jiexiang Hu; Yutong Peng; Quan Lin; Huaping Liu; Qi Zhou 006 (Eng. Comput., 2022)

A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength. - Jingchang Li; Longchao Cao; Jiexiang Hu; Minhua Sheng; Qi Zhou 006; Peng Jin (J. Intell. Manuf., 2022)

A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion. - Quan Lin; Jiachang Qian; Yuansheng Cheng; Qi Zhou 006; Jiexiang Hu (Knowl. Based Syst., 2022)

A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios. - Yanzhi Wang; Jinhong Wu; Ziyang Yu 003; Jiexiang Hu; Qi Zhou 006 (Eng. Appl. Artif. Intell., 2023)

Transfer learning-based quality monitoring of laser powder bed fusion across materials. - Jingchang Li; Jiexiang Hu; Qi Zhou 006; Yahui Zhang (Expert Syst. Appl., 2024)

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

Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing. - Yanzhi Wang; Ziyang Yu 003; Jinhong Wu; Chu Wang; Qi Zhou 006; Jiexiang Hu (IEEE Internet Things J., 2024)

A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis. - Shuyang Luo; Jiachang Qian; Xufeng Huang; Qi Zhou 006; Jiexiang Hu (Eng. Appl. Artif. Intell., 2025)