| 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 | 229 | 2018 |
| Recent advances in Bayesian optimization X Wang, Y Jin, S Schmitt, M Olhofer ACM Computing Surveys 55 (13s), 1-36, 2023 | 125 | 2023 |
| 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 | 113 | 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 | 104 | 2021 |
| 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 | 29 | 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 | 28 | 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 | 19 | 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 | 13 | 2019 |
| Federated many-task Bayesian optimization H Zhu, X Wang, Y Jin IEEE transactions on evolutionary computation, 2023 | 12 | 2023 |
| 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 | 9 | 2018 |
| 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 | 5 | 2023 |
| Secure Federated Evolutionary Optimization—A Survey Q Liu, Y Yan, Y Jin, X Wang, P Ligeti, G Yu, X Yan Engineering, 2023 | 4 | 2023 |
| DP-FSAEA: Differential Privacy for Federated Surrogate-Assisted Evolutionary Algorithms Y Yan, X Wang, P Ligeti, Y Jin IEEE Transactions on Evolutionary Computation, 2024 | 2 | 2024 |
| 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 | 1 | 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 | 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 |
| MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets P Liao, XL Wang, Y Jin, WL Du arXiv preprint arXiv:2407.13122, 2024 | | 2024 |
| Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization X Wang, Y Jin IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
| A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization X Wang, X Wang, Y Jin, U Rückert 2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024 | | 2024 |
| Personalized Bayesian optimization for noisy problems X Wang, Y Jin Complex & Intelligent Systems 9 (5), 5745-5760, 2023 | | 2023 |
Yaochu JinChair Professor for AI, MAE FIEEE, Westlake University, China; University of Surrey, UK在 westlake.edu.cn 的电子邮件经过验证
