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Ping Jiang 0005
Person information
- affiliation: Huazhong University of Science & Technology, The State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
Other persons with the same name
- Ping Jiang — disambiguation page
- Ping Jiang 0001 — University of Bradford, UK (and 2 more)
- Ping Jiang 0002 — Hebei University of Technology, Tianjin, China
- Ping Jiang 0003 — The University of Tokyo, Japan
- Ping Jiang 0004
— Yulin University, School of Information Engineering, China (and 1 more)
- Ping Jiang 0006
- Ping Jiang 0007
- Ping Jiang 0008
- Ping Jiang 0009
- Ping Jiang 0010 — Hubei Polytechnic University, Huangshi, China (and 1 more)
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2020 – today
- 2024
- [j21]Deyuan Ma, Ping Jiang
Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework. J. Intell. Manuf. 35(1): 55-73 (2024) - 2023
- [j20]Wang Cai, Ping Jiang
Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks. J. Intell. Manuf. 34(3): 1259-1273 (2023) - 2022
- [j19]Lili Zhang, Yuda Wu, Ping Jiang, Seung-Kyum Choi, Qi Zhou:
A multi-fidelity surrogate modeling approach for incorporating multiple non-hierarchical low-fidelity data. Adv. Eng. Informatics 51: 101430 (2022) - [j18]Jianzhao Wu
Multi-Objective Parameter Optimization of Fiber Laser Welding Considering Energy Consumption and Bead Geometry. IEEE Trans Autom. Sci. Eng. 19(4): 3561-3574 (2022) - 2021
- [j17]Ji Cheng, Ping Jiang, Qi Zhou, Jiexiang Hu, Leshi Shu:
A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems. Appl. Soft Comput. 106: 107276 (2021)
2010 – 2019
- 2018
- [j16]Ping Jiang
An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS. Appl. Intell. 48(6): 1644-1656 (2018) - [j15]Leshi Shu, Ping Jiang
An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization. Appl. Soft Comput. 66: 438-448 (2018) - [j14]Tingli Xie
Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine. J. Comput. Inf. Sci. Eng. 18(4) (2018) - [j13]Qi Zhou, Youmin Rong
Optimization of laser brazing onto galvanized steel based on ensemble of metamodels. J. Intell. Manuf. 29(7): 1417-1431 (2018) - [j12]Ping Jiang
A space mapping method based on Gaussian process model for variable fidelity metamodeling. Simul. Model. Pract. Theory 81: 64-84 (2018) - 2017
- [j11]Qi Zhou, Ping Jiang
A variable fidelity information fusion method based on radial basis function. Adv. Eng. Informatics 32: 26-39 (2017) - [j10]Qi Zhou, Yang Yang
A multi-fidelity information fusion metamodeling assisted laser beam welding process parameter optimization approach. Adv. Eng. Softw. 110: 85-97 (2017) - [j9]Qi Zhou, Yan Wang
An active learning radial basis function modeling method based on self-organization maps for simulation-based design problems. Knowl. Based Syst. 131: 10-27 (2017) - [j8]Qi Zhou, Yan Wang
A sequential multi-fidelity metamodeling approach for data regression. Knowl. Based Syst. 134: 199-212 (2017) - 2016
- [j7]Qi Zhou, Xinyu Shao, Ping Jiang
An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models. Adv. Eng. Informatics 30(3): 283-297 (2016) - [j6]Ping Jiang
Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II. Adv. Eng. Softw. 99: 147-160 (2016) - [c9]Jiexiang Hu, Qi Zhou, Ping Jiang, Tingli Xie
An Improved Hierarchical Kriging for Variable-Fidelity Surrogate Modeling. CRC 2016: 86-90 - [c8]Yahui Zhang, Jiexiang Hu, Qi Zhou, Ping Jiang
A Sequential Sampling Strategy for Multiresponse Radial Basis Function. ISCID (2) 2016: 206-210 - 2015
- [j5]Qi Zhou, Xinyu Shao, Ping Jiang
An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function. Simul. Model. Pract. Theory 59: 18-35 (2015) - [c7]Qi Zhou, Ping Jiang
An active learning variable-fidelity metamodeling approach for engineering design. IEEM 2015: 411-415 - 2014
- [j4]Jun Zheng, Xinyu Shao, Liang Gao
A prior-knowledge input LSSVR metamodeling method with tuning based on cellular particle swarm optimization for engineering design. Expert Syst. Appl. 41(5): 2111-2125 (2014) - 2013
- [c6]Jian Kang, Ping Jiang
A Quadratic Exterior Penalty Function Based Probabilistic Analytical Target Cascading Method. HPCC/EUC 2013: 153-157 - 2012
- [c5]Yang Yang, Xinyu Li, Ping Jiang
Modeling of cutting forces in a face-milling operation with Gene Expression Programming. CSCWD 2012: 769-774 - 2011
- [c4]Ling Kuang, Ping Jiang
A Web services based distributed multidisciplinary design optimization framework to ship design. CSCWD 2011: 362-366 - 2010
- [j3]Ping Jiang
A process-view approach for cross-organizational workflows management. Adv. Eng. Informatics 24(2): 229-240 (2010)
2000 – 2009
- 2009
- [j2]Ping Jiang
A Web services and process-view combined approach for process management of collaborative product development. Comput. Ind. 60(6): 416-427 (2009) - [c3]Ping Jiang
Collaborative execution mechanisms for the TCPN-enhanced process-view approach based inter-enterprises workflow. CSCWD 2009: 480-485 - 2008
- [j1]Ping Jiang, Xinyu Shao, Haobo Qiu, Peigen Li:
Interoperability of Cross-organizational Workflows based on Process-view for Collaborative Product Development. Concurr. Eng. Res. Appl. 16(1): 73-87 (2008) - 2007
- [c2]Ping Jiang, Xinyu Shao, Liang Gao, Zhenfeng Yang:
A Multi-agent System for Cross-Organizational Workflows Management Based on Process-View. International Conference on Computational Science (3) 2007: 212-215 - 2006
- [c1]Xinyu Shao, Ping Jiang, Haobo Qiu, Liang Gao:
Workflow Modeling for Virtual Enterprise: a Petri Net Based Process-View Approach. CSCWD 2006: 1213-1218
Coauthor Index
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