Jiexiang Hu

According to our database, Jiexiang Hu authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios.

Yanzhi Wang, Jinhong Wu, Ziyang Yu, Jiexiang Hu, Qi Zhou

Eng. Appl. Artif. Intell., November, 2023

2022

A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion.

Quan Lin, Jiachang Qian, Yuansheng Cheng, Qi Zhou, Jiexiang Hu

Knowl. Based Syst., 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, Peng Jin

J. Intell. Manuf., 2022

An ensemble weighted average conservative multi-fidelity surrogate modeling method for engineering optimization.

Jiexiang Hu, Yutong Peng, Quan Lin, Huaping Liu, Qi Zhou

Eng. Comput., 2022

2021

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity.

Quan Lin, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, Tom Dhaene

Knowl. Based Syst., 2021

A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems.

Ji Cheng, Ping Jiang, Qi Zhou, Jiexiang Hu, Leshi Shu

Appl. Soft Comput., 2021

A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion.

Quan Lin, Dawei Hu, Jiexiang Hu, Yuansheng Cheng, Qi Zhou

Adv. Eng. Informatics, 2021

2018

A space mapping method based on Gaussian process model for variable fidelity metamodeling.

Ping Jiang, Tingli Xie, Qi Zhou, Xinyu Shao, Jiexiang Hu, Longchao Cao

Simul. Model. Pract. Theory, 2018

An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization.

Leshi Shu, Ping Jiang, Qi Zhou, Xinyu Shao, Jiexiang Hu, Xiangzheng Meng

Appl. Soft Comput., 2018

An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS.

Ping Jiang, Yahui Zhang, Qi Zhou, Xinyu Shao, Jiexiang Hu, Leshi Shu

Appl. Intell., 2018

2017

An active learning radial basis function modeling method based on self-organization maps for simulation-based design problems.

Qi Zhou, Yan Wang, Ping Jiang, Xinyu Shao, Seung-Kyum Choi, Jiexiang Hu, Longchao Cao, Xiangzheng Meng

Knowl. Based Syst., 2017

A sequential multi-fidelity metamodeling approach for data regression.

Qi Zhou, Yan Wang, Seung-Kyum Choi, Ping Jiang, Xinyu Shao, Jiexiang Hu

Knowl. Based Syst., 2017

A multi-fidelity information fusion metamodeling assisted laser beam welding process parameter optimization approach.

Qi Zhou, Yang Yang, Ping Jiang, Xinyu Shao, Longchao Cao, Jiexiang Hu, Zhongmei Gao, Chao-Chao Wang

Adv. Eng. Softw., 2017

A variable fidelity information fusion method based on radial basis function.

Qi Zhou, Ping Jiang, Xinyu Shao, Jiexiang Hu, Longchao Cao, Li Wan

Adv. Eng. Informatics, 2017

2016

A Sequential Sampling Strategy for Multiresponse Radial Basis Function.

Yahui Zhang, Jiexiang Hu, Qi Zhou, Ping Jiang

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling.

Jiexiang Hu, Qi Zhou, Ping Jiang, Tingli Xie

Proceedings of the 2016 International Conference on Cybernetics, Robotics and Control, 2016