| Discriminative dictionary learning-based multiple component decomposition for detail-preserving noisy image fusion H Li, Y Wang, Z Yang, R Wang, X Li, D Tao IEEE Transactions on Instrumentation and Measurement 69 (4), 1082-1102, 2019 | 88 | 2019 |
| OTL-PEM: an optimization-based two-layer pointwise ensemble of surrogate models Y Pang, Y Wang, W Sun, X Song Journal of Mechanical Design 144 (5), 051702, 2022 | 20 | 2022 |
| Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization Y Pang, Y Wang, X Lai, S Zhang, P Liang, X Song Computer Methods in Applied Mechanics and Engineering 414, 116194, 2023 | 19 | 2023 |
| An expensive many-objective optimization algorithm based on efficient expected hypervolume improvement Y Pang, Y Wang, S Zhang, X Lai, W Sun, X Song IEEE Transactions on Evolutionary Computation 27 (6), 1822-1836, 2022 | 15 | 2022 |
| A Kriging-assisted global reliability-based design optimization algorithm with a reliability-constrained expected improvement Y Pang, X Lai, S Zhang, Y Wang, L Yang, X Song Applied Mathematical Modelling 121, 611-630, 2023 | 11 | 2023 |
| Industrial data denoising via low-rank and sparse representations and its application in tunnel boring machine Y Wang, Y Pang, W Sun, X Song Energies 15 (10), 3525, 2022 | 7 | 2022 |
| Multi-fidelity information fusion with hierarchical surrogate guided by feature mapping Y Wang, K Li, Q Li, Y Pang, L Lv, W Sun, X Song Knowledge-Based Systems 275, 110693, 2023 | 4 | 2023 |
| Surrogate information transfer and fusion in high-dimensional expensive optimization problems Y Pang, S Zhang, Y Jin, Y Wang, X Lai, X Song Swarm and Evolutionary Computation 88, 101586, 2024 | 2 | 2024 |
| Ensemble learning based hierarchical surrogate model for multi-fidelity information fusion Y Wang, Y Pang, T Xue, S Zhang, X Song Advanced Engineering Informatics 60, 102535, 2024 | 2 | 2024 |
| Surrogate-assisted expensive constrained Bi-objective optimization with highly heterogeneous evaluations Y Pang, X Lai, Y Wang, X He, S Zhang, X Song Swarm and Evolutionary Computation 83, 101401, 2023 | 2 | 2023 |
| 面向盾构机不完整数据的模糊聚类与非线性回归填补 王一棠， 庞勇， 张立勇， 史彦军， 孙伟， 宋学官 机械工程学报 59 (12), 28-37, 2023 | 2 | 2023 |
| Surrogate-assisted expensive constrained bi-objective optimization with extremely heterogeneous evaluations Y Pang, X Lai, Y Wang, X He, S Zhang, X Song Available at SSRN 4349375, 0 | 1 | |
| A Latin hypervolume design for irregular sampling spaces and its application in the analysis of cracks Y Pang, L Yang, Y Wang, X Lai, W Sun, X Song Engineering with Computers 39 (5), 3509-3526, 2023 | | 2023 |
| Joint clustering and missing value imputation for incomplete data via fuzzy modeling and alternate optimization Y Wang, Y Pang, L Zhang, X Song | | 2023 |
| Outlier Detection and Correction for Time Series Data of Tunnel Boring Machine Y Wang, S Wang, Y Pang, X Song International Conference on Intelligent Robotics and Applications, 254-261, 2023 | | 2023 |
| A Clustering Algorithm for Tunnel Boring Machine Data Based on Ridge Regression and Fuzzy C-Means Y Li, Y Pang, Y Wang, S Wang, X Song Journal of Physics: Conference Series 2555 (1), 012011, 2023 | | 2023 |
| Tunneling Operational Data Imputation with Radial Basis Function Neural Network Y Wang, Y Pang, X Song, W Sun International Joint Conference on Energy, Electrical and Power Engineering …, 2022 | | 2022 |
| Recognition of Tunneling Boring Machine Operating Status Based on the Time Series Analysis Y Pang, Y Wang, S Zhang, S Wang, X Song, W Sun International Joint Conference on Energy, Electrical and Power Engineering …, 2022 | | 2022 |
| A Denoising Method by Low-Rank and Sparse Representations and Its Application in Tunnel Boring Machine Y Wang, T Fu, T Zhang, X Song Conference Proceedings of 2021 International Joint Conference on Energy …, 2022 | | 2022 |
| 基于 TS 建模的不完整盾构机数据填补算法 王一棠， 庞勇， 张立勇， 孙伟， 宋学官 机械设计, 2022 | | 2022 |
Xueguan Song (宋学官)School of Mechanical Engineering, Dalian University of Technology在 dlut.edu.cn 的电子邮件经过验证
