Qi Zhou

Orcid: 0000-0002-6203-595X

Affiliations:
  • Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China


According to our database1, Qi Zhou authored at least 28 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A deep learning-based multi-fidelity optimization method for the design of acoustic metasurface.
Eng. Comput., October, 2023

Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks.
J. Intell. Manuf., March, 2023

In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting.
J. Intell. Manuf., February, 2023

2022
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis.
Knowl. Based Syst., 2022

A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion.
Knowl. Based Syst., 2022

A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength.
J. Intell. Manuf., 2022

An ensemble weighted average conservative multi-fidelity surrogate modeling method for engineering optimization.
Eng. Comput., 2022

A multi-fidelity surrogate modeling approach for incorporating multiple non-hierarchical low-fidelity data.
Adv. Eng. Informatics, 2022

2021
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity.
Knowl. Based Syst., 2021

A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems.
Appl. Soft Comput., 2021

A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion.
Adv. Eng. Informatics, 2021

2020
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images.
Knowl. Based Syst., 2020

2018
A space mapping method based on Gaussian process model for variable fidelity metamodeling.
Simul. Model. Pract. Theory, 2018

Optimization of laser brazing onto galvanized steel based on ensemble of metamodels.
J. Intell. Manuf., 2018

Prediction of angular distortion in the fiber laser keyhole welding process based on a variable-fidelity approximation modeling approach.
J. Intell. Manuf., 2018

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine.
J. Comput. Inf. Sci. Eng., 2018

An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization.
Appl. Soft Comput., 2018

An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS.
Appl. Intell., 2018

2017
An active learning radial basis function modeling method based on self-organization maps for simulation-based design problems.
Knowl. Based Syst., 2017

A sequential multi-fidelity metamodeling approach for data regression.
Knowl. Based Syst., 2017

A multi-fidelity information fusion metamodeling assisted laser beam welding process parameter optimization approach.
Adv. Eng. Softw., 2017

A variable fidelity information fusion method based on radial basis function.
Adv. Eng. Informatics, 2017

2016
Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II.
Adv. Eng. Softw., 2016

An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models.
Adv. Eng. Informatics, 2016

A Sequential Sampling Strategy for Multiresponse Radial Basis Function.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling.
Proceedings of the 2016 International Conference on Cybernetics, Robotics and Control, 2016

2015
An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function.
Simul. Model. Pract. Theory, 2015

An active learning variable-fidelity metamodeling approach for engineering design.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015


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