Jiexiang Hu

发表

A global support vector regression based on sorted K-fold method

Ping Jiang, Qi Zhou, Leshi Shu, 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

A variable fidelity information fusion method based on radial basis function

Xinyu Shao, Ping Jiang, Li Wan, 2017, Adv. Eng. Informatics.

A generalized hierarchical co-Kriging model for multi-fidelity data fusion

Qi Zhou, Jiexiang Hu, Yuda Wu, 2020 .

A lower confidence bounding approach based on the coefficient of variation for expensive global design optimization

Tao Yu, X. Shao, P. Jiang, 2019, Engineering Computations.

An on-line Kriging metamodel assisted robust optimization approach under interval uncertainty

X. Shao, P. Jiang, Qi Zhou, 2017 .

Accurate Prediction of the Weld Bead Characteristic in Laser Keyhole Welding Based on the Stochastic Kriging Model

Qi Zhou, Jiexiang Hu, Leshi Shu, 2018, Metals.

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

Jiexiang Hu, Yuansheng Cheng, Quan Lin, 2022, Knowl. Based Syst..

A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting

Jiexiang Hu, Longchao Cao, Yanzhi Wang, 2022, Journal of Manufacturing Systems.

A generalized hierarchical co-Kriging model for multi-fidelity data fusion

Jiexiang Hu, Yuda Wu, Zhendong Guo, 2020, Structural and Multidisciplinary Optimization.

A robust optimization approach based on multi-fidelity metamodel

X. Shao, Seung-Kyum Choi, P. Jiang, 2017, Structural and Multidisciplinary Optimization.

An efficient optimization method for periodic lattice cellular structure design based on the K-fold SVR model

Jiexiang Hu, Xiangzheng Meng, Lili Zhang, 2021, Engineering with Computers.

An adaptive space preselection method for the multi-fidelity global optimization

Qi Zhou, Jiexiang Hu, Yuda Wu, 2021 .

Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems

Leshi Shu, Qi Zhou, Ping Jiang, 2020, Structural and Multidisciplinary Optimization.

A Sequential Sampling Strategy for Multiresponse Radial Basis Function

Yahui Zhang, Qi Zhou, Ping Jiang, 2016, 2016 9th International Symposium on Computational Intelligence and Design (ISCID).

Multi-fidelity surrogate model-assisted fatigue analysis of welded joints

Ping Jiang, Seung-Kyum Choi, Tingli Xie, 2020, Structural and Multidisciplinary Optimization.

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

Xinyu Shao, Ping Jiang, Qi Zhou, 2018, Simul. Model. Pract. Theory.

An adaptive sampling method for variable-fidelity surrogate models using improved hierarchical kriging

Xinyu Shao, Qi Zhou, Ping Jiang, 2018 .

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

Jiexiang Hu, Qi Zhou, Yuansheng Cheng, 2021, Adv. Eng. Informatics.

Comparative studies of error metrics in variable fidelity model uncertainty quantification

Yahui Zhang, Xinyu Shao, Yang Yang, 2018, Journal of Engineering Design.

An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling

Ping Jiang, Qi Zhou, Tingli Xie, 2016, 2016 International Conference on Cybernetics, Robotics and Control (CRC).

An active learning multi-fidelity metamodeling method based on the bootstrap estimator

Qi Zhou, Yuda Wu, Jiexiang Hu, 2020 .

Variable-Fidelity Lower Confidence Bounding Approach for Engineering Optimization Problems with Expensive Simulations

Qi Zhou, Leshi Shu, Ping Jiang, 2019 .

A variable-fidelity modeling method based on self-organizing maps spatial reduction

Ping Jiang, Leshi Shu, Qi Zhou, 2016, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

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

Chao-Chao Wang, Yang Yang, Xinyu Shao, 2017, Adv. Eng. Softw..

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

Qi Zhou, Longchao Cao, Jiexiang Hu, 2020, Journal of Intelligent Manufacturing.

Optimization of surface roughness and dimensional accuracy in LPBF additive manufacturing

Qi Zhou, Longchao Cao, Jiexiang Hu, 2021 .

Multi-objective process parameters optimization of SLM using the ensemble of metamodels

Qi Zhou, Jiexiang Hu, Longchao Cao, 2021 .

A conservative multi-fidelity surrogate model-based robust optimization method for simulation-based optimization

Qi Zhou, Jiexiang Hu, Lili Zhang, 2021, Structural and Multidisciplinary Optimization.

A multi-objective bayesian optimization approach based on variable-fidelity multi-output metamodeling

Jiexiang Hu, Leshi Shu, Quan Lin, 2023, Structural and Multidisciplinary Optimization.

A multi-objective robust optimization approach for engineering design under interval uncertainty

Xinyu Shao, Leshi Shu, Qi Zhou, 2018 .

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

Xinyu Shao, Ping Jiang, Leshi Shu, 2018, Appl. Soft Comput..

A robust optimization approach based on multi-fidelity metamodel

Yan Wang, Xinyu Shao, Leshi Shu, 2018 .

A sequential multi-fidelity metamodeling approach for data regression

Yan Wang, Xinyu Shao, Ping Jiang, 2017, Knowl. Based Syst..

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

Yan Wang, Xinyu Shao, Ping Jiang, 2017, Knowl. Based Syst..

A fitness approximation and on-line variable-fidelity metamodel based multi-objective genetic algorithm

Ping Jiang, Qi Zhou, Leshi Shu, 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

A model validation framework based on parameter calibration under aleatory and epistemic uncertainty

Qi Zhou, Seung-Kyum Choi, Tingli Xie, 2020, Structural and Multidisciplinary Optimization.

A multi-fidelity surrogate modeling method based on variance-weighted sum for the fusion of multiple non-hierarchical low-fidelity data

P. Jiang, Qi Zhou, Jiexiang Hu, 2021, Structural and Multidisciplinary Optimization.

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

Tom Dhaene, Ivo Couckuyt, Zhen Hu, 2021, Knowl. Based Syst..

Model Validation Methods for Multiple Correlated Responses via Covariance-Overlap Based Distance

Qi Zhou, Ping Jiang, Seung-Kyum Choi, 2020, Journal of Mechanical Design.

Survey of Multi-fidelity Surrogate Models and their Applications in the Design and Optimization of Engineering Equipment

Zhonghua Han, Jiexiang Hu, Yuansheng Cheng, 2020, Journal of Mechanical Engineering.

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

Leshi Shu, Qi Zhou, Ping Jiang, 2021, Appl. Soft Comput..

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

Xinyu Shao, Ping Jiang, Leshi Shu, 2018, Applied Intelligence.

Parallel multi-objective Bayesian optimization approaches based on multi-fidelity surrogate modeling

Jiexiang Hu, Quan Lin, Qi Zhou, 2023, Aerospace Science and Technology.