| Context-aware deep model compression for edge cloud computing L Wang, L Xiang, J Xu, J Chen, X Zhao, D Yao, X Wang, B Li 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 8 | 2020 |
| Context-aware compilation of dnn training pipelines across edge and cloud D Yao, L Xiang, Z Wang, J Xu, C Li, X Wang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 5 | 2021 |
| Federated model search via reinforcement learning D Yao, L Wang, J Xu, L Xiang, S Shao, Y Chen, Y Tong 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 5 | 2021 |
| Shuffled Transformer for Privacy-Preserving Split Learning H Xu, L Xiang, H Ye, D Yao, P Chu, B Li arXiv preprint arXiv:2304.07735, 2023 | 1 | 2023 |
| Privacy-Preserving Split Learning via Patch Shuffling over Transformers D Yao, L Xiang, H Xu, H Ye, Y Chen 2022 IEEE International Conference on Data Mining (ICDM), 638-647, 2022 | 1 | 2022 |
| Shuffled Transformers for Blind Training H Xu, L Xiang, H Ye, D Yao, P Chu | | 2022 |
| Solving Heterogeneity via Personalized Federated Learning D Yao | | |
| Towards Hybrid Fuzzing with Multi-level Coverage Tree and Reinforcement Learning in Greybox Fuzzing D Yao, K Shen, X Wei | | |
| Optimization over Client Selection in Efficient Federated Learning D Yao, K Wang | | |
Liyao XiangAssistant Professor, Shanghai Jiao Tong UniversityVerified email at eecg.toronto.edu
