| Federated recommendation systems L Yang, B Tan, VW Zheng, K Chen, Q Yang Federated Learning: Privacy and Incentive, 225-239, 2020 | 227 | 2020 |
| On neural networks and learning systems for business computing Y Li, W Jiang, L Yang, T Wu Neurocomputing 275, 1150-1159, 2018 | 98 | 2018 |
| Application of interpretable machine learning models for the intelligent decision Y Li, L Yang, B Yang, N Wang, T Wu Neurocomputing 333, 273-283, 2019 | 71 | 2019 |
| 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 | 36 | 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 |
| Improving availability of vertical federated learning: Relaxing inference on non-overlapping data Z Ren, L Yang, K Chen ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-20, 2022 | 25 | 2022 |
| Exploring clustering of bandits for online recommendation system L Yang, B Liu, L Lin, F Xia, K Chen, Q Yang Proceedings of the 14th ACM Conference on Recommender Systems, 120-129, 2020 | 25 | 2020 |
| {FLASH}: Towards a high-performance hardware acceleration architecture for cross-silo federated learning J Zhang, X Cheng, W Wang, L Yang, J Hu, K Chen 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 24 | 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 |
| Addressing network bottlenecks with divide-and-shuffle synchronization for distributed dnn training W Wang, C Zhang, L Yang, K Chen, K Tan IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 320-329, 2022 | 18* | 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, 2020 | 18 | 2020 |
| Sok: Fully homomorphic encryption accelerators J Zhang, X Cheng, L Yang, J Hu, X Liu, K Chen ACM Computing Surveys 56 (12), 1-32, 2024 | 16 | 2024 |
| 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 |
| Federated meta embedding concept stock recommendation Z Peng, Y Yang, L Yang, K Chen IEEE Transactions on Big Data, 2022 | 4 | 2022 |
| 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 |
| VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing M Fan, Y Jin, L Yang, Z Ren, K Chen arXiv preprint arXiv:2306.16139, 2023 | 2 | 2023 |
| DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue F Zhang, D Zhu, J Ming, Y Jin, D Chai, L Yang, H Tian, Z Fan, K Chen arXiv preprint arXiv:2502.13847, 2025 | | 2025 |
| High-Performance Hardware Acceleration Architecture for Cross-Silo Federated Learning J Zhang, X Cheng, L Yang, J Hu, H Tian, K Chen IEEE Transactions on Parallel and Distributed Systems, 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, HKUSTPatvirtintas el. paštas cse.ust.hk