| Datanet: Deep learning based encrypted network traffic classification in sdn home gateway P Wang, F Ye, X Chen, Y Qian IEEE Access 6, 55380-55391, 2018 | 220 | 2018 |
| A survey of techniques for mobile service encrypted traffic classification using deep learning P Wang, X Chen, F Ye, Z Sun IEEE Access 7, 54024-54033, 2019 | 149 | 2019 |
| Deep temporal convolutional networks for short-term traffic flow forecasting W Zhao, Y Gao, T Ji, X Wan, F Ye, G Bai Ieee Access 7, 114496-114507, 2019 | 141 | 2019 |
| Energy efficient self-sustaining wireless neighborhood area network design for smart grid F Ye, Y Qian, RQ Hu IEEE Transactions on Smart Grid 6 (1), 220-229, 2014 | 108 | 2014 |
| A real-time information based demand-side management system in smart grid F Ye, Y Qian, RQ Hu IEEE Transactions on Parallel and Distributed Systems 27 (2), 329-339, 2015 | 92 | 2015 |
| Autonomous unknown-application filtering and labeling for dl-based traffic classifier update J Zhang, F Li, F Ye, H Wu IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 397-405, 2020 | 79 | 2020 |
| PacketCGAN: Exploratory study of class imbalance for encrypted traffic classification using CGAN P Wang, S Li, F Ye, Z Wang, M Zhang ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020 | 76 | 2020 |
| A Smart Home Gateway Platform for Data Collection and Awareness P Wang, F Ye, X Chen IEEE Communications Magazine 56 (9), 87-93, 2018 | 62 | 2018 |
| A fog-based architecture and programming model for iot applications in the smart grid P Wang, S Liu, F Ye, X Chen arXiv preprint arXiv:1804.01239, 2018 | 52 | 2018 |
| Reliable Energy-Efficient Uplink Transmission for Neighborhood Area Networks in Smart Grid F Ye, Y Qian, R Hu, SK Das Smart Grid, IEEE Transactions on 6 (5), 2179 - 2188, 2015 | 48 | 2015 |
| Spectrum trading in cognitive radio networks: An agent-based model under demand uncertainty L Qian, F Ye, L Gao, X Gan, T Chu, X Tian, X Wang, M Guizani IEEE Transactions on Communications 59 (11), 3192-3203, 2011 | 45 | 2011 |
| EV charging behavior analysis using hybrid intelligence for 5G smart grid Y Shen, W Fang, F Ye, M Kadoch Electronics 9 (1), 80, 2020 | 41 | 2020 |
| Deep learning based framework for automatic damage detection in aircraft engine borescope inspection Z Shen, X Wan, F Ye, X Guan, S Liu 2019 International Conference on Computing, Networking and Communications …, 2019 | 36 | 2019 |
| A security protocol for advanced metering infrastructure in smart grid F Ye, Y Qian, RQ Hu 2014 IEEE Global Communications Conference, 649-654, 2014 | 35 | 2014 |
| Incentive load scheduling schemes for PHEV battery exchange stations in smart grid F Ye, Y Qian, RQ Hu IEEE Systems Journal 11 (2), 922-930, 2015 | 33 | 2015 |
| Smart grid communication infrastructures: big data, cloud computing, and security F Ye, Y Qian, RQ Hu John Wiley & Sons, 2018 | 30 | 2018 |
| An identity-based security scheme for a big data driven cloud computing framework in smart grid F Ye, Y Qian, RQ Hu 2015 IEEE global communications conference (GLOBECOM), 1-6, 2015 | 30 | 2015 |
| Autonomous model update scheme for deep learning based network traffic classifiers J Zhang, F Li, H Wu, F Ye 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 28 | 2019 |
| Design and analysis of a wireless monitoring network for transmission lines in smart grid F Ye, Y Liang, H Zhang, X Zhang, Y Qian Wireless Communications and Mobile Computing 16 (10), 1209-1220, 2016 | 28 | 2016 |
| An ensemble-based network intrusion detection scheme with bayesian deep learning J Zhang, F Li, F Ye ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 27 | 2020 |
Yi QianUniversity of Nebraska-Lincoln在 unl.edu 的电子邮件经过验证
