| Secure federated matrix factorization D Chai, L Wang, K Chen, Q Yang IEEE Intelligent Systems 36 (5), 11-20, 2020 | 400 | 2020 |
| Bike flow prediction with multi-graph convolutional networks D Chai, L Wang, Q Yang Proceedings of the 26th ACM SIGSPATIAL international conference on advances …, 2018 | 355 | 2018 |
| Practical lossless federated singular vector decomposition over billion-scale data D Chai, L Wang, J Zhang, L Yang, S Cai, K Chen, Q Yang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 47* | 2022 |
| Exploring the generalizability of spatio-temporal traffic prediction: Meta-modeling and an analytic framework L Wang, D Chai, X Liu, L Chen, K Chen IEEE Transactions on Knowledge and Data Engineering 35 (4), 3870-3884, 2021 | 40 | 2021 |
| Sphinx: Enabling privacy-preserving online learning over the cloud H Tian, C Zeng, Z Ren, D Chai, J Zhang, K Chen, Q Yang 2022 IEEE Symposium on Security and Privacy (SP), 2487-2501, 2022 | 33 | 2022 |
| A survey on vertical federated learning: From a layered perspective L Yang, D Chai, J Zhang, Y Jin, L Wang, H Liu, H Tian, Q Xu, K Chen arXiv preprint arXiv:2304.01829, 2023 | 31 | 2023 |
| Practical and secure federated recommendation with personalized mask L Yang, J Zhang, D Chai, L Wang, K Guo, K Chen, Q Yang International Workshop on Trustworthy Federated Learning, 33-45, 2022 | 19 | 2022 |
| FedEval: A Holistic Evaluation Framework for Federated Learning D Chai, L Wang, L Yang, J Zhang, K Chen, Q Yang arXiv preprint arXiv:2011.09655, 2022 | 18 | 2022 |
| Efficient federated matrix factorization against inference attacks D Chai, L Wang, K Chen, Q Yang ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-20, 2022 | 17 | 2022 |
| A survey for federated learning evaluations: Goals and measures D Chai, L Wang, L Yang, J Zhang, K Chen, Q Yang IEEE Transactions on Knowledge and Data Engineering, 2024 | 15 | 2024 |
| Secure forward aggregation for vertical federated neural networks S Cai, D Chai, L Yang, J Zhang, Y Jin, L Wang, K Guo, K Chen International Workshop on Trustworthy Federated Learning, 115-129, 2022 | 12 | 2022 |
| Aegis: a trusted, automatic and accurate verification framework for vertical federated learning C Zhang, J Zhang, D Chai, K Chen arXiv preprint arXiv:2108.06958, 2021 | 8 | 2021 |
| Efficient Decentralized Federated Singular Vector Decomposition D Chai, J Zhang, L Yang, Y Jin, L Wang, K Chen, Q Yang 2024 USENIX Annual Technical Conference (USENIX ATC 24), 1029--1047, 2024 | 3 | 2024 |
| UCTB: An urban computing tool box for spatiotemporal crowd flow prediction L Chen, D Chai, L Wang arXiv: 2306.04144, 2023 | 1 | 2023 |
| Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data K Xu, D Chai, J Zhang, F Lai, K Chen Proceedings of the ACM on Management of Data 3 (1), 1-27, 2025 | | 2025 |
| Enhancing Token Filtering Efficiency in Large Language Model Training with Collider D Chai, P Li, F Zhang, Y Jin, H Tian, J Zhang, K Chen arXiv preprint arXiv:2502.00340, 2025 | | 2025 |
| UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services J Fang, L Chen, D Chai, Y Hong, X Xie, L Chen, L Wang 2024 IEEE International Conference on Software Services Engineering (SSE), 54-65, 2024 | | 2024 |
| PackVFL: Efficient HE Packing for Vertical Federated Learning L Yang, S Cai, D Chai, J Zhang, H Tian, Y Jin, K Guo, K Chen, Q Yang arXiv preprint arXiv:2405.00482, 2024 | | 2024 |
Kai ChenProfessor, HKUSTПотвърден имейл адрес: cse.ust.hk