| Adaptive dynamic bipartite graph matching: A reinforcement learning approach Y Wang, Y Tong, C Long, P Xu, K Xu, W Lv 2019 IEEE 35th international conference on data engineering (ICDE), 1478-1489, 2019 | 98 | 2019 |
| Federated latent dirichlet allocation: A local differential privacy based framework Y Wang, Y Tong, D Shi Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6283-6290, 2020 | 97 | 2020 |
| Value function is all you need: A unified learning framework for ride hailing platforms X Tang, F Zhang, Z Qin, Y Wang, D Shi, B Song, Y Tong, H Zhu, J Ye Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 34 | 2021 |
| An efficient approach for cross-silo federated learning to rank Y Wang, Y Tong, D Shi, K Xu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1128-1139, 2021 | 28 | 2021 |
| Fed-ltd: Towards cross-platform ride hailing via federated learning to dispatch Y Wang, Y Tong, Z Zhou, Z Ren, Y Xu, G Wu, W Lv Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 21 | 2022 |
| Privacy preserving online matching on ridesharing platforms Y Xu, S Wei, Y Wang Neurocomputing 406, 371-377, 2020 | 9 | 2020 |
| Federated Learning in the Lens of Crowdsourcing. Y Tong, Y Wang, D Shi IEEE Data Eng. Bull. 43 (3), 26-36, 2020 | 7 | 2020 |
| 群体智能中的联邦学习算法综述 杨强， 童咏昕， 王晏晟， 范力欣， 王薇， 陈雷， 王魏， 康焱 智能科学与技术学报 4 (1), 29-44, 2022 | 6 | 2022 |
| Distribution-Regularized Federated Learning on Non-IID Data Y Wang, Y Tong, Z Zhou, R Zhang, SJ Pan, L Fan, Q Yang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2113-2125, 2023 | 5 | 2023 |
| Data source selection in federated learning: A submodular optimization approach R Zhang, Y Wang, Z Zhou, Z Ren, Y Tong, K Xu International Conference on Database Systems for Advanced Applications, 606-614, 2022 | 5 | 2022 |
| 面向企业数据孤岛的联邦排序学习 史鼎元， 王晏晟， 郑鹏飞， 童咏昕 软件学报 32 (3), 669-688, 2021 | 4 | 2021 |
| Interaction Management in Crowdsourcing. Y Wang, T Song, Q Tao, Y Zeng, Z Zhou, Y Xu, Y Tong, L Chen IEEE Data Eng. Bull. 42 (4), 23-34, 2019 | 1 | 2019 |
| Cross-Silo Federated Learning-to-Rank 史鼎元， 王晏晟， 郑鹏飞， 童咏昕 Journal of Software 32 (3), 669-688, 2021 | | 2021 |
| 鱼与熊掌可以兼得——“联邦迁移学习” 直面小数据与隐私关切挑战 杨强， 童咏昕， 王晏晟 前沿科学 13 (2), 61-66, 2019 | | 2019 |
Yongxin Tong（童咏昕）Professor of Computer Science, Beihang UniversityVerified email at buaa.edu.cn
