Jiexiang Hu

Orcid: 0009-0009-0328-3409

According to our database¹, Jiexiang Hu authored at least 19 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., July, 2024

Deep continuous convolutional networks for fault diagnosis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Transfer learning-based quality monitoring of laser powder bed fusion across materials.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

2023

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2022

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

[BibT_eX]

[DOI]

Eng. Comput., 2022

2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

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

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2021

2018

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

[BibT_eX]

[DOI]

Simul. Model. Pract. Theory, 2018

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

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

[BibT_eX]

[DOI]

Appl. Intell., 2018

2017

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

A sequential multi-fidelity metamodeling approach for data regression.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

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

[BibT_eX]

[DOI]

Adv. Eng. Softw., 2017

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

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2017

2016

A Sequential Sampling Strategy for Multiresponse Radial Basis Function.

[BibT_eX]

[DOI]

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

An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling.

[BibT_eX]

[DOI]

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

Jiexiang Hu

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