Jiawei Shao
Jiawei Shao
Verified email at - Homepage
Cited by
Cited by
Bottlenet++: An end-to-end approach for feature compression in device-edge co-inference systems
J Shao, J Zhang
2020 IEEE International Conference on Communications Workshops (ICC …, 2020
Communication-computation trade-off in resource-constrained edge inference
J Shao, J Zhang
IEEE Communications Magazine 58 (12), 20-26, 2020
Learning task-oriented communication for edge inference: An information bottleneck approach
J Shao, Y Mao, J Zhang
IEEE Journal on Selected Areas in Communications 40 (1), 197-211, 2021
Task-oriented communication for multi-device cooperative edge inference
J Shao, Y Mao, J Zhang
IEEE Transactions on Wireless Communications, 2022
Branchy-GNN: A device-edge co-inference framework for efficient point cloud processing
J Shao, H Zhang, Y Mao, J Zhang
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Semi-decentralized federated edge learning for fast convergence on non-iid data
Y Sun, J Shao, Y Mao, JH Wang, J Zhang
2022 IEEE Wireless Communications and Networking Conference (WCNC), 1898-1903, 2022
Stochastic coded federated learning with convergence and privacy guarantees
Y Sun, J Shao, S Li, Y Mao, J Zhang
2022 IEEE International Symposium on Information Theory (ISIT), 2028-2033, 2022
Dres-fl: Dropout-resilient secure federated learning for non-iid clients via secret data sharing
J Shao, Y Sun, S Li, J Zhang
arXiv preprint arXiv:2210.02680, 2022
Federated learning with gan-based data synthesis for non-iid clients
Z Li, J Shao, Y Mao, JH Wang, J Zhang
arXiv preprint arXiv:2206.05507, 2022
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity
Y Sun, J Shao, Y Mao, JH Wang, J Zhang
arXiv preprint arXiv:2112.10313, 2021
Communication-computation efficient device-edge co-inference via AutoML
X Zhang, J Shao, Y Mao, J Zhang
2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Y Sun, J Shao, Y Mao, J Zhang
ICC 2022-IEEE International Conference on Communications, 5196-5201, 2022
LDMIC: Learning-based Distributed Multi-view Image Coding
X Zhang, J Shao, J Zhang
arXiv preprint arXiv:2301.09799, 2023
Task-Oriented Communication for Edge Video Analytics
J Shao, X Zhang, J Zhang
arXiv preprint arXiv:2211.14049, 2022
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Y Sun, J Shao, Y Mao, S Li, J Zhang
arXiv preprint arXiv:2211.04132, 2022
The system can't perform the operation now. Try again later.
Articles 1–15