| A modified whale optimization algorithm for large-scale global optimization problems Y Sun, X Wang, Y Chen, Z Liu Expert Systems with Applications 114, 563-577, 2018 | 215 | 2018 |
| An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization X Wang, Y Jin, S Schmitt, M Olhofer Information Sciences 519, 317-331, 2020 | 99 | 2020 |
| Evolutionary optimization of high-dimensional multiobjective and many-objective expensive problems assisted by a dropout neural network D Guo, X Wang, K Gao, Y Jin, J Ding, T Chai IEEE transactions on systems, man, and cybernetics: systems 52 (4), 2084-2097, 2021 | 90 | 2021 |
| Recent advances in Bayesian optimization X Wang, Y Jin, S Schmitt, M Olhofer ACM Computing Surveys 55 (13s), 1-36, 2023 | 70 | 2023 |
| Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times X Wang, Y Jin, S Schmitt, M Olhofer, R Allmendinger Knowledge-Based Systems 227, 107190, 2021 | 27 | 2021 |
| Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times X Wang, Y Jin, S Schmitt, M Olhofer Proceedings of the 2020 genetic and evolutionary computation conference, 587-594, 2020 | 24 | 2020 |
| Transfer learning based co-surrogate assisted evolutionary bi-objective optimization for objectives with non-uniform evaluation times X Wang, Y Jin, S Schmitt, M Olhofer Evolutionary computation 30 (2), 221-251, 2022 | 15 | 2022 |
| BMM: A binary metaheuristic mapping algorithm for mesh-based network-on-chip X Wang, Y Sun, H Gu IEICE TRANSACTIONS on Information and Systems 102 (3), 628-631, 2019 | 11 | 2019 |
| WOAGA: A new metaheuristic mapping algorithm for large-scale mesh-based NoC X Wang, Y Sun, H Gu, Z Liu IEICE Electronics Express 15 (17), 20180738-20180738, 2018 | 8 | 2018 |
| Federated many-task Bayesian optimization H Zhu, X Wang, Y Jin IEEE transactions on evolutionary computation, 2023 | 5 | 2023 |
| Secure Federated Evolutionary Optimization—A Survey Q Liu, Y Yan, Y Jin, X Wang, P Ligeti, G Yu, X Yan Engineering, 2023 | 1 | 2023 |
| Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives X Wang, Y Jin, S Schmitt, M Olhofer IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 1 | 2023 |
| Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization X Wang, Y Jin Mathematical and Computational Applications 28 (1), 14, 2023 | 1 | 2023 |
| Personalized Bayesian optimization for noisy problems X Wang, Y Jin Complex & intelligent systems 9 (5), 5745-5760, 2023 | | 2023 |
| A New Expected Improvement Acquisition Function for Expensive Multi-Objective Optimization X Wang, Y Jin 2023 5th International Conference on Data-driven Optimization of Complex …, 2023 | | 2023 |
| Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search S Liu, X Wang, Y Jin 2023 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2023 | | 2023 |
| Bayesian evolutionary optimization for heterogeneously expensive multi-objective problems X Wang University of Surrey, 2022 | | 2022 |
Yaochu JinChair Professor for AI, MAE FIEEE, Westlake University, China; University of Surrey, UKVerified email at westlake.edu.cn
