| Dual personalization on federated recommendation C Zhang, G Long, T Zhou, P Yan, Z Zhang, C Zhang, B Yang arXiv preprint arXiv:2301.08143, 2023 | 25 | 2023 |
| 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 |
| Curvature regularization to prevent distortion in graph embedding H Pei, B Wei, K Chang, C Zhang, B Yang Advances in Neural Information Processing Systems 33, 20779-20790, 2020 | 13 | 2020 |
| Autostl: Automated spatio-temporal multi-task learning Z Zhang, X Zhao, H Miao, C Zhang, H Zhao, J Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4902-4910, 2023 | 10 | 2023 |
| Promptst: Prompt-enhanced spatio-temporal multi-attribute prediction Z Zhang, X Zhao, Q Liu, C Zhang, Q Ma, W Wang, H Zhao, Y Wang, Z Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions C Zhang, G Long, T Zhou, X Zhao, Z Zhang, B Yang arXiv preprint arXiv:2305.12650, 2023 | 3* | 2023 |
| Graph-guided Personalization for Federated Recommendation C Zhang, G Long, T Zhou, P Yan, Z Zhang, B Yang arXiv preprint arXiv:2305.07866, 2023 | 3 | 2023 |
| Multi-head variational graph autoencoder constrained by sum-product networks R Xia, Y Zhang, C Zhang, X Liu, B Yang Proceedings of the ACM Web Conference 2023, 641-650, 2023 | 3 | 2023 |
| LaenNet: Learning robust GCNs by propagating labels C Zhang, X Li, H Pei, Z Zhang, B Liu, B Yang Neural Networks 168, 652-664, 2023 | 2 | 2023 |
| ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation B Zhang, Z Wang, Y Ling, Y Guan, S Zhang, W Li, L Wei, C Zhang Neural Networks 167, 199-212, 2023 | 2 | 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 | 2 | 2019 |
| Federated Adaptation for Foundation Model-based Recommendations C Zhang, G Long, H Guo, X Fang, Y Song, Z Liu, G Zhou, Z Zhang, Y Liu, ... arXiv preprint arXiv:2405.04840, 2024 | 1 | 2024 |
| Global Contextual Dependency Network for Object Detection J Li, C Zhang, B Yang Future Internet 14 (1), 27, 2022 | 1 | 2022 |
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology Sydney在 uts.edu.au 的电子邮件经过验证
