Leshi Shu

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).

Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II

Chao-Chao Wang, Xinyu Shao, Ping Jiang, 2016, Adv. Eng. Softw..

Differing Mapping using Ensemble of Metamodels forGlobal Variable-fidelity Metamodeling

X. Shao, P. Jiang, Qi Zhou, 2015 .

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.

A novel sequential exploration-exploitation sampling strategy for global metamodeling

Xinyu Shao, Leshi Shu, Qi Zhou, 2015 .

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 sequential sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS

Yahui Zhang, Leshi Shu, Qi Zhou, 2016 .

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

Yahui Zhang, Hua Wei, Leshi Shu, 2018, J. Comput. Inf. Sci. Eng..

A surrogate model-assisted robustness-oriented tolerance design method based on ‘reverse model’

P. Jiang, Leshi Shu, Yang Yang, 2022, Journal of Engineering Design.

A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine

Yang Yang, Leshi Shu, Ping Jiang, 2018, DAC 2018.

An online variable-fidelity optimization approach for multi-objective design optimization

P. Jiang, Qi Zhou, Leshi Shu, 2019, 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.

Coarse-Grained Force Field Calibration Based on Multi-Objective Bayesian Optimization to Simulate Water Diffusion in Poly-ɛ-caprolactone.

Tequila A. L. Harris, Leshi Shu, Yan Wang, 2020, The journal of physical chemistry. A.

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 bi-fidelity Bayesian optimization method for multi-objective optimization with a novel acquisition function

P. Jiang, Leshi Shu, Qi Zhou, 2023, Structural and Multidisciplinary Optimization.

A multi-fidelity Bayesian optimization approach based on the expected further improvement

Yan Wang, Leshi Shu, Ping Jiang, 2020, Structural and Multidisciplinary Optimization.

Comparative studies of error metrics in variable fidelity model uncertainty quantification

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

An active learning variable-fidelity metamodelling approach based on ensemble of metamodels and objective-oriented sequential sampling

Hui Zhou, Xinyu Shao, Leshi Shu, 2016 .

A New Multi-Objective Bayesian Optimization Formulation With the Acquisition Function for Convergence and Diversity

Yan Wang, Xinyu Shao, Leshi Shu, 2020 .

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

Qi Zhou, Leshi Shu, Ping Jiang, 2019 .

Metamodel-based design optimization employing a novel sequential sampling strategy

Yahui Zhang, Xinyu Shao, Ping Jiang, 2017 .

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).

An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models

Chao-Chao Wang, Xinyu Shao, Ping Jiang, 2016, Adv. Eng. Informatics.

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function

Hui Zhou, Xinyu Shao, Ping Jiang, 2015, Simul. Model. Pract. Theory.

Defect detection method using laser vision with model-based segmentation for laser brazing welds on car body surface

Leshi Shu, Bin Li, Shuangdong Hua, 2021 .

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 .

Novel Approach for Selecting Low-Fidelity Scale Factor in Multifidelity Metamodeling

Qi Zhou, Leshi Shu, Xueguan Song, 2019 .

An online variable-fidelity optimization approach for multi-objective design optimization

Leshi Shu, Ping Jiang, Tingli Xie, 2019, Structural and Multidisciplinary Optimization.

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 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 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.

Spatial distribution of laser energy and its influence on the stability of extreme narrow keyholes during ultra-high power laser welding

X. Shao, P. Jiang, Leshi Shu, 2022, Science China Technological Sciences.

A Penetration Depth Monitoring Method for Al-Cu Laser Lap Welding Based on Spectral Signals

Leshi Shu, P. Jiang, Minjie Song, 2023, Journal of Materials Processing Technology.

Multi-sensing signals diagnosis and CNN-based detection of porosity defect during Al alloys laser welding

Leshi Shu, S. Geng, P. Jiang, 2022, Journal of Manufacturing Systems.

Real-time identification of molten pool and keyhole using a deep learning-based semantic segmentation approach in penetration status monitoring

Leshi Shu, S. Geng, Wang Cai, 2022, Journal of Manufacturing Processes.

Laser Welding Process Parameters Optimization Using Variable-Fidelity Metamodel and NSGA-II

Ping Jiang, Leshi Shu, Qi Zhou, 2017 .

Optimization of Process Parameters on Surface Hardness and Energy Consumption in Milling of 7050 Aluminum Alloy using Enhanced NSGA-II

Leshi Shu, Hongsen Wang, Chen Su, 2021 .

Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework

Leshi Shu, Yilin Wang, S. Geng, 2022, Journal of Intelligent Manufacturing.

Real-time porosity monitoring during laser welding of aluminum alloys based on keyhole 3D morphology characteristics

Leshi Shu, S. Geng, P. Jiang, 2022, Journal of Manufacturing Systems.

DBN-based online identification of porosity regions during laser welding of aluminum alloys using coherent optical diagnosis

Leshi Shu, S. Geng, P. Jiang, 2023, Optics & Laser Technology.

Ultra-high-power laser welding of thick-section steel: Current research progress and future perspectives

Leshi Shu, S. Geng, P. Jiang, 2023, Optics & Laser Technology.

Real-time monitoring of laser keyhole welding penetration state based on deep belief network

P. Jiang, Leshi Shu, S. Geng, 2021, Journal of Manufacturing Processes.

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.