发表论文
1. Xiaobing Shang, Lipeng Wang, Hai Fang, Lingyun Lu, Zhi Zhang. Active learning of ensemble polynomial chaos expansion method for global sensitivity analysis[J]. Reliability Engineering & System Safety, 2024, 249, 110226.
2. Lichao Jiang, Xiaobing Shang*, Bao JIn, Zhi Zhang, Wen Zhang. Black-box modeling of ship maneuvering motion using multi-output least-squares support vector regression based on optimal mixed kernel function[J]. Ocean Engineering, 2024, 293(1): 116663.
3. Lichao Jiang, Xiaobing Shang*, Xinyu Qi, Zilu Ouyang, Zhi Zhang. Adaptive ensemble of multi-kernel Gaussian process regressions based on heuristic model screening for nonparametric modeling of ship maneuvering motion[J]. Journal of Offshore Mechanics and Arctic Engineering, 2024. Doi: 10.1115/1.4064856.
4. Lichao Jiang, Xiaobing Shang*, Bao Jin, Chenjia Ji, Zhi Zhang Zhang. Multi-objective optimal input design for grey-box identification modelling of ship manoeuvring motion[J]. Ships and Offshore Structures, 2024. Doi: 10.1080/17445302.2024.2335452.
5. Lichao Jiang, Zhi Zhang, Linyun Lu, Xiaobing Shang*, Wei Wang. Nonparametric modelling of ship dynamics using puma optimizer algorithm-optimized twin Support vector regression[J]. Journal of Marine Science and Engineering, 2024, 12(5): 754.
6. Xiaobing Shang, Zhi Zhang, Hai Fang, Bo Li, Yunhui Li. Ensemble learning of multi-kernel Kriging surrogate models using regional discrepancy and space-filling criteria-based hybrid sampling method [J]. Advanced Engineering Informatics, 2023. 58: 102186.
7. Xiaobing Shang, Li Su, Hai Fang, Bowen Zeng, Zhi Zhang. An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis[J]. Reliability Engineering & System Safety, 2023, 229: 108858.
8. Xiaobing Shang, Ping Ma, Ming Yang, Tao Chao. An Efficient Polynomial Chaos Enhanced Radial Basis Function Approach for Reliability-based Design Optimization[J]. Structural and Multidisciplinary Optimization, 2020.
9. Xiaobing Shang, Tao Chao, Ping Ma, Ming Yang. Derivative-based Global Sensitivity Measure using Radial Basis Function[J]. Structural and Multidisciplinary Optimization, 2020, 62(1): 107-129.
10. Xiaobing Shang, Tao Chao, Ping Ma, Ming Yang. An Efficient Local Search-based Genetic Algorithm for Constructing Optimal Latin Hypercube Design[J]. Engineering Optimization, 2020, 52(2): 271-287.
11. Xiaobing Shang, Ping Ma, Tao Chao, Ming Yang. A Sequential Experimental Design for Multivariate Sensitivity Analysis using Polynomial Chaos Expansion[J]. Engineering Optimization, 2020. 52(8): 1382-1400.
12. Xiaobing Shang, Tao Chao, Ping Ma, Ming Yang. Simulation and Robust Optimization Design for Electromagnetic Railgun Performance[J]. IEEE Transactions on Plasma Science, 2019, 47(6): 2964-2970.
13. Xiaobing Shang, Ping Ma, Tao Chao. Performance Evaluation of Electromagnetic Railgun Exterior Ballistics based on Cloud Model[J]. IEEE Transactions on Plasma Science, 2017, 45(7): 1614-1621.
14. Ping Ma, Xiaobing Shang, Tao Chao, Ming Yang. Simulation-based Firing Accuracy Analysis for Electromagnetic Railgun with Uncertainty[J]. IEEE Transactions on Plasma Science, 2019, 47(7): 3358-3365.
15. Xiaobing Shang, Tao Chao, Ping Ma. A Moment Independent based Importance Measure with Hybrid Uncertainty[C]. Asian Simulation Conference. Springer, Singapore, 2017: 213-224.
16. Xiaobing Shang, Ping Ma, Ming Yang. An Improved Kriging Model based on Differential Evolution[C]. EUROSIM Congress on Modelling and Simulation, Oulu, Finland, 2016.
