| Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II P Jiang, C Wang, Q Zhou, X Shao, L Shu, X Li Advances in Engineering Software 99, 147-160, 2016 | 120 | 2016 |
| An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function Q Zhou, X Shao, P Jiang, H Zhou, L Shu Simulation Modelling Practice and Theory 59, 18-35, 2015 | 97 | 2015 |
| An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models Q Zhou, X Shao, P Jiang, Z Gao, C Wang, L Shu Advanced Engineering Informatics 30 (3), 283-297, 2016 | 85 | 2016 |
| A robust optimization approach based on multi-fidelity metamodel Q Zhou, Y Wang, SK Choi, P Jiang, X Shao, J Hu, L Shu Structural and Multidisciplinary Optimization 57, 775-797, 2018 | 79 | 2018 |
| Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems X Ruan, P Jiang, Q Zhou, J Hu, L Shu Structural and Multidisciplinary Optimization 62, 3021-3052, 2020 | 64 | 2020 |
| An active learning variable-fidelity metamodelling approach based on ensemble of metamodels and objective-oriented sequential sampling Q Zhou, X Shao, P Jiang, Z Gao, H Zhou, L Shu Journal of Engineering Design 27 (4-6), 205-231, 2016 | 61 | 2016 |
| A new multi-objective Bayesian optimization formulation with the acquisition function for convergence and diversity L Shu, P Jiang, X Shao, Y Wang Journal of Mechanical Design 142 (9), 091703, 2020 | 58 | 2020 |
| Multi-sensing signals diagnosis and CNN-based detection of porosity defect during Al alloys laser welding D Ma, P Jiang, L Shu, S Geng Journal of Manufacturing Systems 62, 334-346, 2022 | 57 | 2022 |
| Variable-fidelity lower confidence bounding approach for engineering optimization problems with expensive simulations P Jiang, J Cheng, Q Zhou, L Shu, J Hu AIAA Journal 57 (12), 5416-5430, 2019 | 39 | 2019 |
| Real-time identification of molten pool and keyhole using a deep learning-based semantic segmentation approach in penetration status monitoring W Cai, P Jiang, L Shu, S Geng, Q Zhou Journal of Manufacturing Processes 76, 695-707, 2022 | 37 | 2022 |
| Advanced multi-objective robust optimization under interval uncertainty using kriging model and support vector machine T Xie, P Jiang, Q Zhou, L Shu, Y Zhang, X Meng, H Wei Journal of Computing and Information Science in Engineering 18 (4), 041012, 2018 | 32 | 2018 |
| An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS P Jiang, Y Zhang, Q Zhou, X Shao, J Hu, L Shu Applied Intelligence 48, 1644-1656, 2018 | 32 | 2018 |
| An on-line variable fidelity metamodel assisted multi-objective genetic algorithm for engineering design optimization L Shu, P Jiang, Q Zhou, X Shao, J Hu, X Meng Applied Soft Computing 66, 438-448, 2018 | 32 | 2018 |
| Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks W Cai, P Jiang, LS Shu, SN Geng, Q Zhou Journal of Intelligent Manufacturing, 1-15, 2023 | 31 | 2023 |
| Novel approach for selecting low-fidelity scale factor in multifidelity metamodeling L Shu, P Jiang, X Song, Q Zhou AIAA Journal 57 (12), 5320-5330, 2019 | 31 | 2019 |
| A multi-fidelity Bayesian optimization approach based on the expected further improvement L Shu, P Jiang, Y Wang Structural and Multidisciplinary Optimization 63 (4), 1709-1719, 2021 | 29 | 2021 |
| Real-time porosity monitoring during laser welding of aluminum alloys based on keyhole 3D morphology characteristics D Ma, P Jiang, L Shu, S Geng Journal of Manufacturing Systems 65, 70-87, 2022 | 27 | 2022 |
| Real-time monitoring of laser keyhole welding penetration state based on deep belief network W Cai, P Jiang, LS Shu, SN Geng, Q Zhou Journal of Manufacturing Processes 72, 203-214, 2021 | 25 | 2021 |
| High-strength and crack-free welding of 2024 aluminium alloy via Zr-core-Al-shell wire J Jin, S Geng, L Shu, P Jiang, X Shao, C Han, L Ren, Y Li, L Yang, ... Nature Communications 15 (1), 1748, 2024 | 24 | 2024 |
| A multi-fidelity surrogate modeling method based on variance-weighted sum for the fusion of multiple non-hierarchical low-fidelity data M Cheng, P Jiang, J Hu, L Shu, Q Zhou Structural and Multidisciplinary Optimization 64, 3797-3818, 2021 | 24 | 2021 |
Ping JiangHuazhong university of science and technologyVerificeret mail på hust.edu.cn