| 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 | 153 | 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 | 152 | 2021 |
| Communication-computation trade-off in resource-constrained edge inference J Shao, J Zhang IEEE Communications Magazine 58 (12), 20-26, 2020 | 97 | 2020 |
| Task-oriented communication for multidevice cooperative edge inference J Shao, Y Mao, J Zhang IEEE Transactions on Wireless Communications 22 (1), 73-87, 2022 | 82 | 2022 |
| Defending chatgpt against jailbreak attack via self-reminders Y Xie, J Yi, J Shao, J Curl, L Lyu, Q Chen, X Xie, F Wu Nature Machine Intelligence 5 (12), 1486-1496, 2023 | 57* | 2023 |
| 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 | 35 | 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 | 35 | 2021 |
| Large language models empowered autonomous edge AI for connected intelligence Y Shen, J Shao, X Zhang, Z Lin, H Pan, D Li, J Zhang, KB Letaief arXiv preprint arXiv:2307.02779, 2023 | 32 | 2023 |
| DReS-FL: Dropout-resilient secure federated learning for non-iid clients via secret data sharing J Shao, Y Sun, S Li, J Zhang 2022 Conference on Neural Information Processing Systems (NeurIPS), 2022 | 26 | 2022 |
| Federated learning with GAN-based data synthesis for non-iid clients Z Li, J Shao, Y Mao, JH Wang, J Zhang International Workshop on Trustworthy Federated Learning, 17-32, 2022 | 25 | 2022 |
| Semi-decentralized federated edge learning with data and device heterogeneity Y Sun, J Shao, Y Mao, JH Wang, J Zhang IEEE Transactions on Network and Service Management, 2023 | 16 | 2023 |
| A survey of what to share in federated learning: perspectives on model utility, privacy leakage, and communication efficiency J Shao, Z Li, W Sun, T Zhou, Y Sun, L Liu, Z Lin, J Zhang arXiv preprint arXiv:2307.10655, 2023 | 15 | 2023 |
| 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 | 14 | 2022 |
| Task-oriented communication for edge video analytics J Shao, X Zhang, J Zhang IEEE Transactions on Wireless Communications, 2023 | 11 | 2023 |
| 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 | 9 | 2021 |
| LDMIC: Learning-based Distributed Multi-view Image Coding X Zhang, J Shao, J Zhang The Eleventh International Conference on Learning Representations, 2023 | 8 | 2023 |
| Selective knowledge sharing for privacy-preserving federated distillation without a good teacher J Shao, F Wu, J Zhang Nature Communications 15 (1), 349, 2024 | 7 | 2024 |
| Task-oriented communication with out-of-distribution detection: An information bottleneck framework H Li, W Yu, H He, J Shao, S Song, J Zhang, KB Letaief GLOBECOM 2023-2023 IEEE Global Communications Conference, 3136-3141, 2023 | 6 | 2023 |
| Feature matching data synthesis for non-iid federated learning Z Li, Y Sun, J Shao, Y Mao, JH Wang, J Zhang IEEE Transactions on Mobile Computing, 2024 | 5 | 2024 |
| Stochastic coded federated learning: Theoretical analysis and incentive mechanism design Y Sun, J Shao, Y Mao, S Li, J Zhang IEEE Transactions on Wireless Communications, 2023 | 5 | 2023 |
Jun ZhangHong Kong University of Science and Technology, IEEE Fellow在 ust.hk 的电子邮件经过验证
