An active learning variable-fidelity metamodeling approach for engineering design. - Qi Zhou 006; Ping Jiang 005; Hui Zhou; Leshi Shu (IEEM, 2015)

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function. - Qi Zhou 006; Xinyu Shao; Ping Jiang 005; Hui Zhou; Leshi Shu (Simul. Model. Pract. Theory, 2015)

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)

An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models. - Qi Zhou 006; Xinyu Shao; Ping Jiang 005; Zhongmei Gao; Chao-Chao Wang; Leshi Shu (Adv. Eng. Informatics, 2016)

Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II. - Ping Jiang 005; Chao-Chao Wang; Qi Zhou 006; Xinyu Shao; Leshi Shu; Xiongbin Li (Adv. Eng. Softw., 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)

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)

Prediction of angular distortion in the fiber laser keyhole welding process based on a variable-fidelity approximation modeling approach. - Qi Zhou 006; Longchao Cao; Hui Zhou; Xiang Huang (J. Intell. Manuf., 2018)

Optimization of laser brazing onto galvanized steel based on ensemble of metamodels. - Qi Zhou 006; Youmin Rong; Xinyu Shao; Ping Jiang 005; Zhongmei Gao; Longchao Cao (J. Intell. Manuf., 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)

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)

A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems. - Qi Zhou 006; Jinhong Wu; Tao Xue; Peng Jin (Eng. 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)

A multi-fidelity surrogate modeling approach for incorporating multiple non-hierarchical low-fidelity data. - Lili Zhang; Yuda Wu; Ping Jiang 005; Seung-Kyum Choi; Qi Zhou 006 (Adv. Eng. Informatics, 2022)

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)

Transfer learning based on improved stacked autoencoder for bearing fault diagnosis. - Shuyang Luo; Xufeng Huang; Yanzhi Wang; Rongmin Luo; Qi Zhou 006 (Knowl. Based Syst., 2022)

In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting. - Jingchang Li; Qi Zhou 006; Xufeng Huang; Menglei Li; Longchao Cao (J. Intell. Manuf., 2023)

Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks. - Wang Cai; Ping Jiang 005; Leshi Shu; ShaoNing Geng; Qi Zhou 006 (J. Intell. Manuf., 2023)

A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface. - Jinhong Wu; Xingxing Feng; Xuan Cai; Xufeng Huang; Qi Zhou 006 (Eng. Comput., 2023)

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)

Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis. - Yanzhi Wang; Chu Wang; Jinhong Wu; Ziyang Yu 003; Qi Zhou 006 (CoRR, 2024)

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)

Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model. - Wang Cai; Leshi Shu; ShaoNing Geng; Qi Zhou 006; Longchao Cao (Expert Syst. Appl., 2024)

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)

Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems. - Chu Wang; Jinhong Wu; Yanzhi Wang; Zhijian Zha; Qi Zhou 006 (Eng. Appl. Artif. Intell., 2025)

A Lightweight Reprogramming Framework for Cross-Device Fault Diagnosis in Edge Computing. - Yanzhi Wang; Jinhong Wu; Shuyang Luo; Ziyang Yu 001; Qi Zhou 006 (IEEE Trans. Instrum. Meas., 2025)

GRUDMU-DSCNN: An edge computing method for fault diagnosis with missing data. - Ziyang Yu 003; Yanzhi Wang; Xiaofeng Zong; Jinhong Wu; Qi Zhou 006 (Appl. Intell., 2025)

MPIPN: a multi physics-informed PointNet for solving parametric acoustic-structure systems. - Chu Wang; Jinhong Wu; Yanzhi Wang; Zhijian Zha; Qi Zhou 006 (Eng. Comput., 2025)