| Federated learning on non-IID data: A survey H Zhu, J Xu, S Liu, Y Jin Neurocomputing 465, 371-390, 2021 | 579 | 2021 |
| A survey on computationally efficient neural architecture search S Liu, H Zhang, Y Jin Journal of Automation and Intelligence 1 (1), 100002, 2022 | 27 | 2022 |
| A survey on surrogate-assisted efficient neural architecture search S Liu, H Zhang, Y Jin arXiv preprint arXiv:2206.01520, 2022 | 15 | 2022 |
| End-to-end pareto set prediction with graph neural networks for multi-objective facility location S Liu, X Yan, Y Jin International Conference on Evolutionary Multi-Criterion Optimization, 147-161, 2023 | 11 | 2023 |
| An estimation of distribution algorithm for multi-robot multi-point dynamic aggregation problem B Xin, S Liu, Z Peng, G Gao 2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018 | 9 | 2018 |
| Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows S Liu, P Yue, Y Jin Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 3 | 2023 |
| An edge-aware graph autoencoder trained on scale-imbalanced data for traveling salesman problems S Liu, X Yan, Y Jin Knowledge-Based Systems 291, 111559, 2024 | 2 | 2024 |
| Federated Graph Neural Networks with Bipartite Embedding for Multi-Objective Facility Location Z Zheng, Z Wang, X Yan, Y Jin, S Liu, Q Liu 2023 5th International Conference on Data-driven Optimization of Complex …, 2023 | 1 | 2023 |
| A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Y Jin, X Yan, S Liu, X Wang arXiv preprint arXiv:2406.13125, 2024 | | 2024 |
| FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs S Liu, U Rückert, Y Jin 2024 IEEE Congress on Evolutionary Computation (CEC), 2024 | | 2024 |
| 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 |
