Data security and privacy-preserving in edge computing paradigm: Survey and open issues J Zhang, B Chen, Y Zhao, X Cheng, F Hu IEEE access 6, 18209-18237, 2018 | 464 | 2018 |
Mechanisms and challenges on mobility-augmented service provisioning for mobile cloud computing W Li, Y Zhao, S Lu, D Chen IEEE Communications Magazine 53 (3), 89-97, 2015 | 71 | 2015 |
LVPDA: A lightweight and verifiable privacy-preserving data aggregation scheme for edge-enabled IoT J Zhang, Y Zhao, J Wu, B Chen IEEE Internet of Things Journal 7 (5), 4016-4027, 2020 | 69 | 2020 |
Survey on data security and privacy-preserving for the research of edge computing J Zhang, Y Zhao, B Chen, F Hu, K Zhu Journal on Communications 39 (3), 1-21, 2018 | 69 | 2018 |
DeepCount: Crowd counting with WiFi via deep learning S Liu, Y Zhao, F Xue, B Chen, X Chen arXiv preprint arXiv:1903.05316, 2019 | 61 | 2019 |
Beyond model-level membership privacy leakage: an adversarial approach in federated learning J Chen, J Zhang, Y Zhao, H Han, K Zhu, B Chen 2020 29th International Conference on Computer Communications and Networks …, 2020 | 51 | 2020 |
WiCount: A deep learning approach for crowd counting using WiFi signals S Liu, Y Zhao, B Chen 2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017 | 51 | 2017 |
Enhancing Camera-Based Multi-Modal Indoor Localization with Device-Free Movement Measurement using WiFi Y Zhao, J Xu, J Wu, J Hao, H Qian IEEE Internet of Things Journal, 2019 | 48 | 2019 |
FedMEC: improving efficiency of differentially private federated learning via mobile edge computing J Zhang, Y Zhao, J Wang, B Chen Mobile Networks and Applications 25 (6), 2421-2433, 2020 | 47 | 2020 |
边缘计算数据安全与隐私保护研究综述 张佳乐, 赵彦超, 陈兵, 胡峰, 朱琨 Journal on Communication/Tongxin Xuebao 39 (3), 2018 | 38 | 2018 |
An efficient federated learning scheme with differential privacy in mobile edge computing J Zhang, J Wang, Y Zhao, B Chen Machine Learning and Intelligent Communications: 4th International …, 2019 | 37 | 2019 |
Wi-Wri: Fine-grained writing recognition using Wi-Fi signals X Cao, B Chen, Y Zhao 2016 IEEE Trustcom/BigDataSE/ISPA, 1366-1373, 2016 | 37 | 2016 |
LPDA-EC: A lightweight privacy-preserving data aggregation scheme for edge computing J Zhang, Y Zhao, J Wu, B Chen 2018 IEEE 15th international conference on mobile ad hoc and sensor systems …, 2018 | 35 | 2018 |
Time efficient federated learning with semi-asynchronous communication J Hao, Y Zhao, J Zhang 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | 29 | 2020 |
Effective channel assignments in cognitive radio networks J Wu, Y Dai, Y Zhao Computer communications 36 (4), 411-420, 2013 | 27 | 2013 |
DeepCount: Crowd counting with Wi-Fi using deep learning Y Zhao, S Liu, F Xue, B Chen, X Chen Journal of Communications and Information Networks 4 (3), 38-52, 2019 | 23 | 2019 |
Exploiting interpretable patterns for flow prediction in dockless bike sharing systems J Gu, Q Zhou, J Yang, Y Liu, F Zhuang, Y Zhao, H Xiong IEEE Transactions on Knowledge and Data Engineering 34 (2), 640-652, 2020 | 20 | 2020 |
Modeling heterogeneous relations across multiple modes for potential crowd flow prediction Q Zhou, J Gu, X Lu, F Zhuang, Y Zhao, Q Wang, X Zhang AAAI 2021, 2021 | 19 | 2021 |
Device-free secure interaction with hand gestures in WiFi-enabled IoT environment Y Zhao, R Gao, S Liu, L Xie, J Wu, H Tu, B Chen IEEE Internet of Things Journal 8 (7), 5619-5631, 2020 | 19 | 2020 |
Conflict graph embedding for wireless network optimization W Li, J Zhang, Y Zhao IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 15 | 2017 |