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2024
Towards Quality Controllable Data Synthesis: A Case Study on Synthesizing Network Intrusions
Fuhao Li, Hongyu Wu, Qinxuan Shi, Sicong Shao, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)
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28 Oct 2024
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doi:10.1109/cars61786.2024.10778825
Masked Autoencoder for Data Recovery in Polymer Research: Mitigating Data Integrity Threats
Bruno Saidou Fonkeng, Fuhao Li, Binglin Sui, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)
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28 Oct 2024
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doi:10.1109/cars61786.2024.10778772
Exploring the Effectiveness of Synthetic Data in Network Intrusion Detection through XAI
Mohammad Ali, Jielun Zhang
2024 Cyber Awareness and Research Symposium (CARS)
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28 Oct 2024
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doi:10.1109/cars61786.2024.10778756
Explainable Artificial Intelligence Enabled Intrusion Detection in the Internet of Things
Mohammad Ali, Jielun Zhang
Lecture Notes in Networks and Systems
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01 Jan 2024
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doi:10.1007/978-3-031-67447-1_30
2023
Seamless Wireless Communication Platform for Internet of Things Applications
Venkataramani Kumar, Jiahui Yu, Fuhao Li, Jielun Zhang, Feng Ye, Sanjeevi Karri, Guru Subramanyam
IEEE Wireless Communications
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01 Dec 2023
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doi:10.1109/MWC.006.2200097
Autonomous unknown-application filtering and labeling for DL-based traffic classifier update
[no author info]
arXiv
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29 Aug 2023
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eid:2-s2.0-85093999948
Towards Detection of Zero-Day Botnet Attack in IoT Networks Using Federated Learning
Jielun Zhang, Shicong Liang, Feng Ye, Rose Qingyang Hu, Yi Qian
ICC 2023 - IEEE International Conference on Communications
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28 May 2023
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doi:10.1109/icc45041.2023.10279423
Sustaining the High Performance of AI-Based Network Traffic Classification Models
Jielun Zhang, Fuhao Li, Feng Ye
IEEE/ACM Transactions on Networking
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01 Apr 2023
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doi:10.1109/TNET.2022.3203227
2022
Network traffic clustering with QoS-awareness
Jielun Zhang, Fuhao Li, Feng Ye
China Communications
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01 Mar 2022
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doi:10.23919/JCC.2022.03.015
2021
Improvement on a Traffic Data Generator for Networking AI Algorithm Development
Khalil Alsulami, Jielun Zhang, Feng Ye
2021 IEEE Global Communications Conference (GLOBECOM)
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01 Dec 2021
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doi:10.1109/GLOBECOM46510.2021.9685616
A Machine Learning Approach to Modulation Detection in Wireless Communications
Venkataramani Kumar, Fuhao Li, Jielun Zhang, Feng Ye, Guru Subramanyam
NAECON 2021 - IEEE National Aerospace and Electronics Conference
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16 Aug 2021
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doi:10.1109/NAECON49338.2021.9696420
A Real Application Enabled Traffic Generator for Networking AI Model Development
Khalil Alsulami, Jielun Zhang, Feng Ye
ICC 2021 - IEEE International Conference on Communications
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01 Jun 2021
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doi:10.1109/ICC42927.2021.9500976
2020
Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update
Jielun Zhang, Fuhao Li, Feng Ye, Hongyu Wu
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications
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01 Jul 2020
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doi:10.1109/INFOCOM41043.2020.9155292
An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning
Jielun Zhang, Fuhao Li, Feng Ye
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
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01 Jun 2020
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doi:10.1109/ICC40277.2020.9149402
Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways
Jielun Zhang, Feng Ye, Yi Qian
IEEE Network
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01 May 2020
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doi:10.1109/MNET.001.1900513
2019
Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers
Jielun Zhang, Fuhao Li, Hongyu Wu, Feng Ye
2019 IEEE Global Communications Conference (GLOBECOM)
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01 Dec 2019
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doi:10.1109/GLOBECOM38437.2019.9014036
A UAV Based Multi-object Detection Scheme to Enhance Road Condition Monitoring and Control for Future Smart Transportation
Jian Yang, Jielun Zhang, Feng Ye, Xiaohui Cheng
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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01 Jan 2019
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doi:10.1007/978-3-030-22971-9_23
2018
A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities
Jielun Zhang, Feng Ye, Yi Qian
2018 IEEE International Smart Cities Conference (ISC2)
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01 Sep 2018
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doi:10.1109/ISC2.2018.8656854
Featured
Sustaining the High Performance of AI-Based Network Traffic Classification Models
Jielun Zhang, Fuhao Li, Feng Ye
IEEE/ACM Transactions on Networking
·
01 Apr 2023
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doi:10.1109/TNET.2022.3203227