| Network abnormal traffic detection model based on semi-supervised deep reinforcement learning S Dong, Y Xia, T Peng IEEE Transactions on Network and Service Management 18 (4), 4197-4212, 2021 | 143 | 2021 |
| Quantum particle swarm optimization for task offloading in mobile edge computing S Dong, Y Xia, J Kamruzzaman IEEE Transactions on Industrial Informatics 19 (8), 9113-9122, 2022 | 40 | 2022 |
| A comprehensive survey on authentication and attack detection schemes that threaten it in vehicular ad-hoc networks S Dong, H Su, Y Xia, F Zhu, X Hu, B Wang IEEE Transactions on Intelligent Transportation Systems 24 (12), 13573-13602, 2023 | 29 | 2023 |
| Traffic identification model based on generative adversarial deep convolutional network S Dong, Y Xia, T Peng Annals of Telecommunications 77 (9), 573-587, 2022 | 19 | 2022 |
| Wireless network abnormal traffic detection method based on deep transfer reinforcement learning Y Xia, S Dong, T Peng, T Wang 2021 17th International Conference on Mobility, Sensing and Networking (MSN …, 2021 | 16 | 2021 |
| Network traffic identification in packet sampling environment S Dong, Y Xia Digital communications and networks 9 (4), 957-970, 2023 | 15 | 2023 |
| SVCA: Secure and verifiable chained aggregation for privacy-preserving federated learning Y Xia, Y Liu, S Dong, M Li, C Guo IEEE Internet of Things Journal 11 (10), 18351-18365, 2024 | 11 | 2024 |
| Network abnormal traffic detection framework based on deep reinforcement learning S Dong, Y Xia, T Wang IEEE Wireless Communications, 2024 | 2 | 2024 |
| Device Identification Method for Internet of Things Based on Spatial-Temporal Feature Residuals S Dong, L Shu, Q Xia, J Kamruzzaman, Y Xia, T Peng IEEE Transactions on Services Computing, 2024 | 1 | 2024 |
| TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0 Y Xia, Y Liu, J Chen, Y Liang, F Khan, R Alturki, X Wang IEEE Transactions on Consumer Electronics, 2024 | | 2024 |
| Unsupervised Structure Confidence Sampling for Image Inpainting. X Hu, T Wang, J Liang, J Jin, J Liu, T Peng, Y Xia SEKE, 130-135, 2022 | | 2022 |
