Leshi Shu

According to our database, Leshi Shu authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Deyuan Ma, Ping Jiang, Leshi Shu, Zhaoliang Gong, Yilin Wang, ShaoNing Geng

J. Intell. Manuf., January, 2024

Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model.

Wang Cai, Leshi Shu, ShaoNing Geng, Qi Zhou, Longchao Cao

Expert Syst. Appl., 2024

Study on penetration depth in laser welding: A process information database-based control strategy and OCT measuring verification.

Deyuan Ma, Yan Zhang, Leshi Shu, Zhongyi Luo, Ping Jiang, Hao Wang

Adv. Eng. Informatics, 2024

2023

Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks.

Wang Cai, Ping Jiang, Leshi Shu, ShaoNing Geng, Qi Zhou

J. Intell. Manuf., March, 2023

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

2018

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

Tingli Xie, Ping Jiang, Qi Zhou, Leshi Shu, Yahui Zhang, Xiangzheng Meng, Hua Wei

J. Comput. Inf. Sci. Eng., 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

2016

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

Ping Jiang, Chao-Chao Wang, Qi Zhou, Xinyu Shao, Leshi Shu, Xiongbin Li

Adv. Eng. Softw., 2016

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

Qi Zhou, Xinyu Shao, Ping Jiang, Zhongmei Gao, Chao-Chao Wang, Leshi Shu

Adv. Eng. Informatics, 2016

2015

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

Qi Zhou, Xinyu Shao, Ping Jiang, Hui Zhou, Leshi Shu

Simul. Model. Pract. Theory, 2015

An active learning variable-fidelity metamodeling approach for engineering design.

Qi Zhou, Ping Jiang, Hui Zhou, Leshi Shu

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015