| Investigating dominant trip distance for intercity passenger transport mode using large-scale location-based service data Y Xiang, C Xu, W Yu, S Wang, X Hua, W Wang Sustainability 11 (19), 5325, 2019 | 20 | 2019 |
| Effective and privacy-preserving federated online learning to rank S Wang, B Liu, S Zhuang, G Zuccon Proceedings of the 2021 ACM SIGIR international conference on theory of …, 2021 | 16 | 2021 |
| Federated online learning to rank with evolution strategies: a reproducibility study S Wang, S Zhuang, G Zuccon European Conference on Information Retrieval, 134-149, 2021 | 13 | 2021 |
| Is Non-IID Data a Threat in Federated Online Learning to Rank? S Wang, G Zuccon Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 12 | 2022 |
| How to forget clients in federated online learning to rank? S Wang, B Liu, G Zuccon European Conference on Information Retrieval, 105-121, 2024 | 5 | 2024 |
| An analysis of untargeted poisoning attack and defense methods for federated online learning to rank systems S Wang, G Zuccon Proceedings of the 2023 ACM SIGIR International Conference on Theory of …, 2023 | 4 | 2023 |
| Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals … AH van der Vegt, V Campbell, S Wang, J Malycha, IA Scott Journal of the American Medical Informatics Association, ocae321, 2025 | | 2025 |
| Effective and secure federated online learning to rank S Wang The University of Queensland, 2024 | | 2024 |
| Improving Effectiveness and Security in Federated Online Learning to Rank S Wang | | 2022 |
Guido ZucconProfessor, University of Queensland; Director of AI, Queensland Digital Health Centre在 uq.edu.au 的電子郵件地址已通過驗證
