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Dixi Yao
Dixi Yao
University of Toronto, Shanghai Jiao Tong University
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
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
182020
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
112021
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
82022
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
62021
Shuffled transformer for privacy-preserving split learning
H Xu, L Xiang, H Ye, D Yao, P Chu, B Li
arXiv preprint, 2023
52023
Permutation Equivariance of Transformers and Its Applications
H Xu, L Xiang, H Ye, D Yao, P Chu, B Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
D Yao, B Li
The 38th Annual AAAI Conference on Artificial Intelligence 38 (15), 16398-16406, 2024
2024
Solving Heterogeneity via Personalized Federated Learning
D Yao
University of Toronto Engineering Research Conference, 2023
2023
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
Shuffled Transformers for Blind Training
H Xu, L Xiang, H Ye, D Yao, P Chu
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Articles 1–11