| 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 | 83 | 2020 |
| 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 | 31 | 2020 |
| 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 | 29 | 2019 |
| Sustaining the high performance of ai-based network traffic classification models J Zhang, F Li, F Ye IEEE/ACM Transactions on Networking 31 (2), 816-827, 2022 | 7 | 2022 |
| Seamless wireless communication platform for internet of things applications V Kumar, J Yu, F Li, J Zhang, F Ye, S Karri, G Subramanyam IEEE Wireless Communications 30 (6), 102-110, 2022 | 6 | 2022 |
| Network traffic clustering with QoS-awareness J Zhang, F Li, F Ye China Communications 19 (3), 202-214, 2022 | 6 | 2022 |
| Autonomous wireless technology detection in seamless iot applications V Kumar, F Li, F Ye, G Subramanyam IEEE Internet of Things Journal 9 (20), 20322-20330, 2022 | 3 | 2022 |
| A machine learning approach to modulation detection in wireless communications V Kumar, F Li, J Zhang, F Ye, G Subramanyam NAECON 2021-IEEE National Aerospace and Electronics Conference, 341-347, 2021 | 3 | 2021 |
| Adaptive and lightweight network traffic classification for edge devices F Li, F Ye IEEE Transactions on Green Communications and Networking 6 (4), 2003-2014, 2022 | 1 | 2022 |
| Simplifying data traffic classification with byte importance distillation F Li, F Ye ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 1 | 2021 |
| Simplifying AI-Supported Development for Networking and Communication Systems F Li University of Dayton, 2022 | | 2022 |
