| When Gaussian process meets big data: A review of scalable GPs H Liu, YS Ong, X Shen, J Cai IEEE transactions on neural networks and learning systems 31 (11), 4405-4423, 2020 | 337 | 2020 |
| A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design H Liu, YS Ong, J Cai Structural and Multidisciplinary Optimization 57 (1), 393-416, 2018 | 220 | 2018 |
| Remarks on multi-output Gaussian process regression H Liu, J Cai, YS Ong Knowledge-Based Systems, 1-20, 2018 | 107 | 2018 |
| A robust error-pursuing sequential sampling approach for global metamodeling based on voronoi diagram and cross validation S Xu, H Liu, X Wang, X Jiang Journal of Mechanical Design 136 (7), 071009, 2014 | 72 | 2014 |
| An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error H Liu, J Cai, YS Ong Computers & Chemical Engineering 106, 171-182, 2017 | 71 | 2017 |
| Generalized robust Bayesian committee machine for large-scale Gaussian process regression H Liu, J Cai, Y Wang, YS Ong International Conference on Machine Learning, 3131-3140, 2018 | 58 | 2018 |
| An adaptive Bayesian sequential sampling approach for global metamodeling H Liu, S Xu, Y Ma, X Chen, X Wang Journal of Mechanical Design 138 (1), 011404, 2016 | 45 | 2016 |
| Optimal weighted pointwise ensemble of radial basis functions with different basis functions H Liu, S Xu, X Wang, J Meng, S Yang AIAA Journal 54 (10), 3117-3133, 2016 | 39 | 2016 |
| Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method H Liu, YS Ong, J Cai, Y Wang Engineering Applications of Artificial Intelligence, 211-225, 2017 | 38 | 2017 |
| Constrained global optimization via a DIRECT-type constraint-handling technique and an adaptive metamodeling strategy H Liu, S Xu, X Chen, X Wang, Q Ma Structural and Multidisciplinary Optimization 55 (1), 155-177, 2017 | 31 | 2017 |
| Sequential sampling designs based on space reduction H Liu, S Xu, X Wang Engineering Optimization 47 (7), 867-884, 2015 | 31 | 2015 |
| A global optimization algorithm for simulation-based problems via the extended DIRECT scheme H Liu, S Xu, X Wang, J Wu, Y Song Engineering Optimization 47 (11), 1441-1458, 2015 | 30 | 2015 |
| An adaptive RBF-HDMR modeling approach under limited computational budget H Liu, JR Hervas, YS Ong, J Cai, Y Wang Structural and Multidisciplinary Optimization 57 (3), 1233-1250, 2018 | 20 | 2018 |
| Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces H Liu, S Xu, Y Ma, X Wang Journal of Global optimization 63 (2), 229-251, 2015 | 15 | 2015 |
| Large-scale heteroscedastic regression via Gaussian process H Liu, YS Ong, J Cai IEEE transactions on neural networks and learning systems 32 (2), 708-721, 2020 | 14 | 2020 |
| A multi-response adaptive sampling approach for global metamodeling H Liu, S Xu, X Wang, S Yang, J Meng Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018 | 14 | 2018 |
| Sampling strategies and metamodeling techniques for engineering design: comparison and application H Liu, S Xu, X Wang Turbo Expo: Power for Land, Sea, and Air 49712, V02CT45A019, 2016 | 13 | 2016 |
| Understanding and comparing scalable Gaussian process regression for big data H Liu, J Cai, YS Ong, Y Wang Knowledge-Based Systems 164, 324-335, 2019 | 11 | 2019 |
| Fast Transfer Gaussian Process Regression with Large-Scale Sources B Da, YS Ong, A Gupta, L Feng, H Liu Knowledge-Based Systems, 2018 | 11 | 2018 |
| Generalized radial basis function-based high-dimensional model representation handling existing random data H Liu, X Wang, S Xu Journal of Mechanical Design 139 (1), 011404, 2017 | 11 | 2017 |
Yew-Soon OngProfessor of Computer ScienceVerified email at ntu.edu.sg
