| Survey on Bayesian optimization methodology and applications J Cui, B Yang Journal of Software 29 (10), 3068-3090, 2018 | 132 | 2018 |
| Deep neural architecture search with deep graph bayesian optimization L Ma, J Cui, B Yang IEEE/WIC/ACM International Conference on Web Intelligence, 500-507, 2019 | 59 | 2019 |
| A novel framework of graph Bayesian optimization and its applications to real-world network analysis J Cui, Q Tan, C Zhang, B Yang Expert Systems with Applications 170, 114524, 2021 | 17 | 2021 |
| Effective fault scenario identification for communication networks via knowledge-enhanced graph neural networks H Zhao, B Yang, J Cui, Q Xing, J Shen, F Zhu, J Cao IEEE Transactions on Mobile Computing 23 (4), 3243-3258, 2023 | 11 | 2023 |
| Location-and-preference joint prediction for task assignment in spatial crowdsourcing X Wei, B Sun, J Cui, M Qiu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 8 | 2022 |
| Deep Bayesian optimization on attributed graphs J Cui, B Yang, X Hu Proceedings of the AAAI conference on artificial intelligence 33 (01), 1377-1384, 2019 | 8 | 2019 |
| Graph Bayesian optimization: Algorithms, evaluations and applications J Cui, B Yang arXiv preprint arXiv:1805.01157, 2018 | 7 | 2018 |
| BO-Aug: learning data augmentation policies via Bayesian optimization C Zhang, X Li, Z Zhang, J Cui, B Yang Applied Intelligence 53 (8), 8978-8993, 2023 | 6 | 2023 |
| A dual-system method for intelligent fault localization in communication networks J Ji, F Zhu, J Cui, H Zhao, B Yang ICC 2022-IEEE International Conference on Communications, 4062-4067, 2022 | 5 | 2022 |
| Scalable and parallel deep bayesian optimization on attributed graphs J Cui, B Yang, B Sun, X Hu, J Liu IEEE Transactions on Neural Networks and Learning Systems 33 (1), 103-116, 2020 | 5 | 2020 |
| Social activity matching with graph neural network in event-based social networks B Sun, X Wei, J Cui, Y Wu International Journal of Machine Learning and Cybernetics 14 (6), 1989-2005, 2023 | 4 | 2023 |
| Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks C Zhang, J Cui, B Yang arXiv preprint arXiv:1905.02610, 2019 | 3 | 2019 |
| Cost-aware graph generation: A deep bayesian optimization approach J Cui, B Yang, B Sun, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7142-7150, 2021 | 2 | 2021 |
| A multi-objective compounded local mobile cloud architecture using priority queues to process multiple jobs X Wei, B Sun, J Cui, G Xu Plos one 11 (7), e0158491, 2016 | 2 | 2016 |
| Learning continuous network emerging dynamics from scarce observations via data-adaptive stochastic processes J Cui, Q Wang, B Sun, J Liu, B Yang Science China Information Sciences 67 (12), 1-16, 2024 | | 2024 |
| Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression J Hu, J Cui, B Yang arXiv preprint arXiv:2411.06833, 2024 | | 2024 |
| Stochastic neural simulator for generalizing dynamical systems across environments J Liu, J Cui, J Yang, B Yang Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems H Peng, J Wu, J Cui, PS Yu International Journal of Machine Learning and Cybernetics 15 (1), 1-2, 2024 | | 2024 |
| A Novel Task Assignment Adjustment Method in Spatial-Temporal Crowdsourcing B Sun, J Cui, H Bai, Y Zhang International Conference on Mobile and Ubiquitous Systems: Computing …, 2023 | | 2023 |
| BO-Aug: learning data augmentation policies via Bayesian optimization C Zhang, X Li, Z Zhang, J Cui, B Yang Applied Intelligence 53 (8), 8978-8993, 2023 | | 2023 |
