| Efficient intrusion detection toward IoT networks using cloud–edge collaboration R Yang, H He, Y Xu, B Xin, Y Wang, Y Qu, W Zhang Computer Networks 228, 109724, 2023 | 38 | 2023 |
| Dependable federated learning for IoT intrusion detection against poisoning attacks R Yang, H He, Y Wang, Y Qu, W Zhang Computers & Security 132, 103381, 2023 | 24 | 2023 |
| Unsupervised anomaly detection for container cloud via bilstm-based variational auto-encoder Y Wang, X Chen, Q Wang, R Yang, B Xin ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 15 | 2022 |
| Sparse black-box inversion attack with limited information Y Xu, X Liu, T Hu, B Xin, R Yang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| DockerWatch: a two-phase hybrid detection of malware using various static features in container cloud Y Wang, Q Wang, X Qin, X Chen, B Xin, R Yang Soft Computing 27 (2), 1015-1031, 2023 | 8 | 2023 |
| DNN real-time collaborative inference acceleration with mobile edge computing R Yang, Y Li, H He, W Zhang 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 4 | 2022 |
| Branchy-TEE: Deep Learning Security Inference Acceleration Using Trusted Execution Environment. Y Wang, K Deng, F Meng, Z Chen, M Yin, R Yang SEKE, 499-504, 2023 | 2 | 2023 |
| Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing R Yang, H He, W Zhang Wireless Communications and Mobile Computing 2021, 2021 | | 2021 |
Weizhe ZhangProfessor of Peng Cheng Laboratory & Harbin Institute of TechnologyBestätigte E-Mail-Adresse bei hit.edu.cn