Power-efficient communication in UAV-aided wireless sensor networks M Hua, Y Wang, Z Zhang, C Li, Y Huang, L Yang IEEE Communications Letters 22 (6), 1264-1267, 2018 | 162 | 2018 |
Neurotoxin: Durable backdoors in federated learning Z Zhang, A Panda, L Song, Y Yang, M Mahoney, P Mittal, R Kannan, ... International Conference on Machine Learning, 26429-26446, 2022 | 138 | 2022 |
Improving semi-supervised federated learning by reducing the gradient diversity of models Z Zhang, Y Yang, Z Yao, Y Yan, JE Gonzalez, K Ramchandran, ... 2021 IEEE International Conference on Big Data (Big Data), 1214-1225, 2021 | 125* | 2021 |
Ecs-net: Improving weakly supervised semantic segmentation by using connections between class activation maps K Sun, H Shi, Z Zhang, Y Huang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 120 | 2021 |
Proactive caching for vehicular multi-view 3D video streaming via deep reinforcement learning Z Zhang, Y Yang, M Hua, C Li, Y Huang, L Yang IEEE Transactions on Wireless Communications 18 (5), 2693-2706, 2019 | 63 | 2019 |
Double coded caching in ultra dense networks: Caching and multicast scheduling via deep reinforcement learning Z Zhang, H Chen, M Hua, C Li, Y Huang, L Yang IEEE Transactions on Communications 68 (2), 1071-1086, 2019 | 59 | 2019 |
An overview of intelligent wireless communications using deep reinforcement learning Y Huang, C Xu, C Zhang, M Hua, Z Zhang Journal of Communications and Information Networks 4 (2), 15-29, 2019 | 37 | 2019 |
Outage probability minimization for low-altitude UAV-enabled full-duplex mobile relaying systems M Hua, Y Wang, Z Zhang, C Li, Y Huang, L Yang China Communications 15 (5), 9-24, 2018 | 37 | 2018 |
Heterogeneous user-centric cluster migration improves the connectivity-handover trade-off in vehicular networks Y Lin, Z Zhang, Y Huang, J Li, F Shu, L Hanzo IEEE Transactions on Vehicular Technology 69 (12), 16027-16043, 2020 | 33 | 2020 |
Optimal resource partitioning and bit allocation for UAV-enabled mobile edge computing M Hua, Y Wang, Z Zhang, C Li, Y Huang, L Yang 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2018 | 28 | 2018 |
Meta-learning for beam prediction in a dual-band communication system R Yang, Z Zhang, X Zhang, C Li, Y Huang, L Yang IEEE Transactions on Communications 71 (1), 145-157, 2022 | 18 | 2022 |
Joint user association and power allocation in heterogeneous ultra dense network via semi-supervised representation learning X Zhang, Z Zhang, L Yang arXiv preprint arXiv:2103.15367, 2021 | 15 | 2021 |
Teach llms to phish: Stealing private information from language models A Panda, CA Choquette-Choo, Z Zhang, Y Yang, P Mittal arXiv preprint arXiv:2403.00871, 2024 | 14 | 2024 |
A self-supervised learning-based channel estimation for IRS-aided communication without ground truth Z Zhang, T Ji, H Shi, C Li, Y Huang, L Yang IEEE Transactions on Wireless Communications 22 (8), 5446-5460, 2023 | 14 | 2023 |
Federated learning in heterogeneous networks with unreliable communication P Zheng, Y Zhu, Y Hu, Z Zhang, A Schmeink IEEE Transactions on Wireless Communications, 2023 | 13 | 2023 |
Learning-based resource allocation in heterogeneous ultradense network X Zhang, Z Zhang, L Yang IEEE Internet of Things Journal 9 (20), 20229-20242, 2022 | 13 | 2022 |
大规模无线通信网络移动边缘计算和缓存研究 黄永明, 郑冲, 张征明, 尤肖虎 通信学报 42 (4), 44-61, 2021 | 12 | 2021 |
Deep reinforcement learning-empowered beamforming design for IRS-assisted MISO interference channels J Zhang, H Zhang, Z Zhang, H Dai, W Wu, B Wang 2021 13th International Conference on Wireless Communications and Signal …, 2021 | 11 | 2021 |
Influence of autoencoder-based data augmentation on deep learning-based wireless communication L Li, Z Zhang, L Yang IEEE Wireless Communications Letters 10 (9), 2090-2093, 2021 | 11 | 2021 |
Proactive caching in auto driving scene via deep reinforcement learning Z Zhu, Z Zhang, W Yan, Y Huang, L Yang 2019 11th International Conference on Wireless Communications and Signal …, 2019 | 11 | 2019 |