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Yitang Wang
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2020 – today
- 2024
- [j8]Yitang Wang, Yong Pang, Tianhang Xue, Shuai Zhang, Xueguan Song:
Ensemble learning based hierarchical surrogate model for multi-fidelity information fusion. Adv. Eng. Informatics 60: 102535 (2024) - [j7]Yong Pang, Shuai Zhang, Yaochu Jin, Yitang Wang, Xiaonan Lai, Xueguan Song:
Surrogate information transfer and fusion in high-dimensional expensive optimization problems. Swarm Evol. Comput. 88: 101586 (2024) - 2023
- [j6]Yong Pang, Liangliang Yang, Yitang Wang, Xiaonan Lai, Wei Sun, Xueguan Song:
A Latin hypervolume design for irregular sampling spaces and its application in the analysis of cracks. Eng. Comput. 39(5): 3509-3526 (2023) - [j5]Yitang Wang, Kunpeng Li, Qingye Li, Yong Pang, Liye Lv, Wei Sun, Xueguan Song:
Multi-fidelity information fusion with hierarchical surrogate guided by feature mapping. Knowl. Based Syst. 275: 110693 (2023) - [j4]Yong Pang, Xiaonan Lai, Yitang Wang, Xiwang He, Shuai Zhang, Xueguan Song:
Surrogate-assisted expensive constrained Bi-objective optimization with highly heterogeneous evaluations. Swarm Evol. Comput. 83: 101401 (2023) - [j3]Yong Pang, Yitang Wang, Shuai Zhang, Xiaonan Lai, Wei Sun, Xueguan Song:
An Expensive Many-Objective Optimization Algorithm Based on Efficient Expected Hypervolume Improvement. IEEE Trans. Evol. Comput. 27(6): 1822-1836 (2023) - [c1]Yitang Wang, Suhang Wang, Yong Pang, Xueguan Song:
Outlier Detection and Correction for Time Series Data of Tunnel Boring Machine. ICIRA (6) 2023: 254-261 - 2020
- [j2]Huafeng Li, Yitang Wang, Zhao Yang, Ruxin Wang, Xiang Li, Dapeng Tao:
Discriminative Dictionary Learning-Based Multiple Component Decomposition for Detail-Preserving Noisy Image Fusion. IEEE Trans. Instrum. Meas. 69(4): 1082-1102 (2020)
2010 – 2019
- 2019
- [j1]Haiying Li, Yitang Wang, Xinyue Xu, Lingqiao Qin, Hanyu Zhang:
Short-term passenger flow prediction under passenger flow control using a dynamic radial basis function network. Appl. Soft Comput. 83 (2019)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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