An active learning variable-fidelity metamodeling approach for engineering design. - Qi Zhou 006; Ping Jiang 005; Hui Zhou; Leshi Shu (IEEM, 2015)

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function. - Qi Zhou 006; Xinyu Shao; Ping Jiang 005; Hui Zhou; Leshi Shu (Simul. Model. Pract. Theory, 2015)

An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models. - Qi Zhou 006; Xinyu Shao; Ping Jiang 005; Zhongmei Gao; Chao-Chao Wang; Leshi Shu (Adv. Eng. Informatics, 2016)

Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II. - Ping Jiang 005; Chao-Chao Wang; Qi Zhou 006; Xinyu Shao; Leshi Shu; Xiongbin Li (Adv. Eng. Softw., 2016)

An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS. - Ping Jiang 005; Yahui Zhang; Qi Zhou 006; Xinyu Shao; Jiexiang Hu; Leshi Shu (Appl. Intell., 2018)

An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization. - Leshi Shu; Ping Jiang 005; Qi Zhou 006; Xinyu Shao; Jiexiang Hu; Xiangzheng Meng (Appl. Soft Comput., 2018)

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine. - Tingli Xie; Ping Jiang 005; Qi Zhou 006; Leshi Shu; Yahui Zhang; Xiangzheng Meng; Hua Wei (J. Comput. Inf. Sci. Eng., 2018)

A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems. - Ji Cheng 001; Ping Jiang 005; Qi Zhou 006; Jiexiang Hu; Leshi Shu (Appl. Soft Comput., 2021)

Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks. - Wang Cai; Ping Jiang 005; Leshi Shu; ShaoNing Geng; Qi Zhou 006 (J. Intell. Manuf., 2023)

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)

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 006; Longchao Cao (Expert Syst. Appl., 2024)

Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework. - Deyuan Ma; Ping Jiang 005; Leshi Shu; Zhaoliang Gong; Yilin Wang; ShaoNing Geng (J. Intell. Manuf., 2024)

Online diagnosis of weak welds in busbar laser welding based on photoelectric signals and machine learning. - Leshi Shu; Yifan Zhou; Wendi Wu; Ping Jiang; Yilin Wang (Eng. Appl. Artif. Intell., 2025)

Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network. - Yue Qiu; Ping Jiang 005; Leshi Shu; Minjie Song; Deyuan Ma; Xiuhui Yan; Shixuan Li (J. Intell. Manuf., 2025)