Publications

Books

1. Yi Qian, Feng Ye, Hsiao-Hwa Chen, “Security in Wireless Communication Networks”, John Wiley & Sons, 2021

2. Feng Ye, Yi Qian, and Rose Qingyang Hu, “Smart Grid Communication Infrastructures – Big Data, Cloud Computing, and Security," John Wiley & Sons, 2018

Journal Papers (Student Advisees are marked with* in blue)

Published or accepted 

1. Venkataramani Kumar*, Jiahui Yu*, Fuhao Li*, Jielun Zhang*, Feng Ye, Sanjeevi Karri, and Guru Subramanyam, "Seamless Wireless Communication Platform for Internet of Things Applications," IEEE Wireless Communications, 2022.

2. Jielun Zhang*, Fuhao Li*, and Feng Ye, “Sustaining the High Performance of AI-based Network Traffic Classification Models,” IEEE/ACM Transactions on Networking, 2022.

3. Venkataramani Kumar*, Fuhao Li*, Feng Ye and Guru Subramanyam, “Autonomous Wireless Technology Detection in Seamless IoT Applications,” IEEE Internet of Things Journal, 2022, doi: 10.1109/JIOT.2022.3173627.

4. Fuhao Li* and Feng Ye, "Adaptive and Lightweight Network Traffic Classification for Edge Devices," in IEEE Transactions on Green Communications and Networking, doi: 10.1109/TGCN.2022.3165221. 

5. Jielun Zhang*, Fuhao Li*, and Feng Ye, “Network Traffic Clustering with QoS-Awareness,” in IEEE/CIC China Communications, vol. 19, no. 3, pp. 202-214, March 2022, doi: 10.23919/JCC.2022.03.015. 

6. Pan Wang, Zixuan Wang, Feng Ye, and Xuejiao Chen, "ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway," in Computer Networks, 2021, doi: 10.1016/j.comnet.2021.108535.

7. Xinjie Guan, Tingxiang Ji, Xili Wan, Yifeng Li, and Feng Ye, “Optimal Task Assignment for Integrated Cloud and Edge Networks with Tree Topology,” in IEEE Communications Letters, vol. 25, no. 10, pp. 3365-3369, Oct. 2021, doi: 10.1109/LCOMM.2021.3103011.

8. (Student Paper) Jielun Zhang*, Feng Ye, and Yi Qian “Intelligent and Application-aware Network Traffic Prediction in Smart Access Gateways”, in IEEE Network, vol. 34, no. 3, pp. 264-269, May/June 2020, doi: 10.1109/MNET.001.1900513.

9. Yi Shen, Wei Fang, Feng Ye, and Michel Kadoch, "EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid." MDPI Electronics 9, no. 1: 80, 2020, doi: 10.3390/electronics9010080.

10. Wentian Zhao, Yanyun Gao, Tingxiang Ji, Xili Wan, Feng Ye and Guangwei Bai, "Deep Temporal Convolutional Networks for Short-term Traffic Flow Forecasting," in IEEE Access, vol. 7, pp. 114496-114507, 2019, doi: 10.1109/ACCESS.2019.2935504.

11. Pan Wang, Xuejiao Chen, Feng Ye, and Zhixin Sun, “A Survey of Techniques for Internet Encrypted Traffic Classification using Deep Learning”, in IEEE Access, vol. 7, pp. 54024-54033, 2019, doi: 10.1109/ACCESS.2019.2912896.

12. Jingzhou Zhao and Feng Ye, “Where ThermoMesh Meets ThermoNet: a Machine Learning based Sensor for Heat Source Localization and Peak Temperature Estimation”, in Sensors & Actuators: A. Physical, vol.292, pp.30-38, 2019, doi: 10.1016/j.sna.2019.04.002.

13. Feng Ye, Yi Qian, and Rose Qingyang Hu, “Smart Service-Aware Wireless Mixed-Area Networks,” in IEEE Network, vol. 33, no. 1, pp. 84-91, January/February 2019, doi: 10.1109/MNET.2018.1700399.

14. Pan Wang, Feng Ye, Xuejiao Chen, Yi Qian, "DataNet: Deep Learning based Encrypted Network Traffic Classification in SDN Home Gateway," in IEEE Access, vol. 6, pp. 55380-55391, 2018, doi: 10.1109/ACCESS.2018.2872430.

15. Pan Wang, Feng Ye, Xuejiao Chen, “A Smart Home Gateway Platform for Data Collection and Awareness”, in IEEE Communications Magazine, vol. 56, no. 9, pp. 87-93, Sept. 2018, doi: 10.1109/MCOM.2018.1701217.

16. Pan Wang, Feng Ye, Xuejiao Chen, "Smart Devices Information Extraction in Home Wi-Fi Networks," in Internet Technology Letters 2018;1:e42. doi: 10.1002/itl2.42.

17. Pan Wang, Xuejiao Chen, Feng Ye and Zhixin Sun, "A Smart Automated Signature Extraction Scheme for Mobile Phone Number in human-Centered Smart Home Systems," in IEEE Access, vol. 6, pp. 30483-30490, 2018, doi: 10.1109/ACCESS.2018.2841878.

18. Dongfeng Fang, Feng Ye, Yi Qian, and Hamid Sharif, “A Cloud-based Incentive Mechanisms for Sensing in Mobile Sensor Networks,” in International Journal of Handheld Computing Research (IJHCR), vol.8, no.3, pp. 1-14, 2018, doi:10.4018/IJHCR.2017070101.

19. Feng Ye, Yi Qian, and Rose Qingyang Hu, “Incentive Load Scheduling Schemes for PHEV Battery Exchange Stations in Smart Grid,” in IEEE Systems Journal, vol.11, no.2, pp.992-930, June 2017, doi: 10.1109/JSYST.2015.2421642.

20. Feng Ye, Yi Qian, and Rose Qingyang Hu, "Identity-Based Schemes for Secured Big Data and Cloud ICT Framework in Smart Grid," in Security and Communication Networks, vol.9, no.18, pp.5262-5277, 2016. doi: 10.1002/sec.1695.

21. Trenton Evans, Kossivi Tossou, Feng Ye, Zhihui Shu, Yi Qian, Yaoqing Yang, and Hamid Sharif, “A New Architecture for Application-Aware Cognitive Multihop Wireless Networks,” in IEEE Wireless Communications, vol. 23, no. 1, pp. 120-127, February. 2016, doi: 10.1109/MWC.2016.7422414.

22. Feng Ye, Yi Qian, and Rose Qingyang Hu, “A Real-time Information Based Demand-Side Management System in Smart Grid,” in IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 2, pp. 329-339, Feb. 1 2016, doi: 10.1109/TPDS.2015.2403833.

23. Feng Ye, Yi Qian, and Rose Qingyang Hu, "HIBaSS: Hierarchical Identity-Based Signature Scheme for AMI Downlink Transmission," in Security and Communication Networks, vol.8, no.16, pp.2901-2908, 2015, doi:10. 1002/sec.1217, 2015.

24. Feng Ye, Yun Liang, Hao Zhang, Xuping Zhang, and Yi Qian, "Design and Analysis of a Wireless Monitoring Network for Transmission Lines in Smart Grid," in Wireless Communications and Mobile Computing, May 13, 2015, doi: 10.1002/wcm.2594.

25. Feng Ye, Yi Qian, Rose Qingyang Hu and Sajal K. Das, "Reliable Energy-Efficient Uplink Transmission for Neighborhood Area Network for Smart Grid," in IEEE Transactions on Smart Grid, vol.6, no.5, pp.2179-2188, Sept. 2015, doi: 10.1109/TSG.2015.2392130.

26. Feng Ye, Yi Qian, and Rose Qingyang Hu, "Energy Efficient Self-Sustaining Wireless Neighborhood Area Network Design for Smart Grid," in IEEE Transactions on Smart Grid, vol.6, no.1, pp.220-229, Jan. 2015, doi: 10.1109/TSG.2014.2344659.

27. Feng Ye and Yi Qian, “Secure Communication Networks in the Advanced Metering Infrastructure of Smart Grid”, ZTE Communications, vol.13, no.3, pp.13-20, Sept. 2015, doi: 10.3969/j.issn.1673-5188.2015.03.003.

28. Xuping Zhang, Feng Ye, Sucheng Fan, Jinghong Guo, Guoliang Xu, and Yi Qian, "An Adaptive Security Protocol for a Wireless Sensor based Monitoring Network in Smart Grid Transmission Lines," Security and Communication Networks, vol.9, no.1, pp.60-71, 2015. doi: 10.1002/sec.1382.

29. Liang Qian, Feng Ye, Lin Gao, Xiaoying Gan, Tian Chu, Xiaohua Tian, Xinbing Wang, and M. Guizani, "Spectrum Trading in Cognitive Radio Networks: An Agent-Based Model under Demand Uncertainty," IEEE Transactions on Communications, vol.59, no.11, pp.3192-3203, Nov. 2011, doi: 10.1109/TCOMM.2011.100411.100446.

Under submission

• Jielun Zhang*, Fuhao Li*, and Feng Ye, “Towards Quality-Explainable Data Synthesis for AI-based Network Intrusion Detection System,” submitted to IEEE Transactions on Big Data, 2022.

Conference Proceedings (Student Advisees are marked with* in blue)

1. (Student Paper) Jielun Zhang*, Shicong Liang*, Feng Ye, Rose Q. Hu, and Qian Yi, “Towards Detection of Zero-Day Botnet Attack in IoT Networks using Federated Learning,” to appear IEEE ICC 2023.

2. (Student Paper) Daidong Ying*, Feng Ye, Rose Q. Hu, and Qian Yi, “Uplink-Aided Downlink Channel Estimation for a High-Mobility Massive MIMO-OTFS System,” IEEE GLOBECOM 2022.

3. (Student Paper) Khalil Alsulami*, Jielun Zhang*, and Feng Ye, “Improvement on a Traffic Data Generator for Networking AI Algorithm Development,” IEEE GLOBECOM 2021, Dec. 2021.

4. (Student Paper) Venkataramani Kumar*, Jiahui Yu*, Feng Ye and Guru Subramanyam, “A Distributed Approach to Energy Efficiency in Seamless IoT Communications,” IEEE GLOBECOM 2021, Dec. 2021.

5. (Student Paper) Venkataramani Kumar*, Fuhao Li*, Jielun Zhang*, Feng Ye and Guru Subramanyam, “A Machine Learning Approach to Modulation Detection in Wireless Communications,” IEEE NAECON 2021, Sept. 2021.

6. Xili Wan, Tingxiang Ji, Xinjie Guan, Feng Ye, and Yifeng Li, "Maximal Network Lifetime Scheduling Algorithms for Roadside Sensor Networks," IEEE International Smart Cities Conference 2021, Sept. 2021.

7. Xinjie Guan, Hao Zhang, Xili Wan, Guangwei Bai, and Feng Ye, "One-to-Multiple Mobile Replenishment Path Planning with Overcharging Awareness," IEEE International Smart Cities Conference 2021, Sept. 2021.

8. (Student Paper) Khalil Alsulami*, Jielun Zhang*, and Feng Ye, “A Real Application Enable Traffic Generator for Networking AI Model Development,” IEEE ICC 2021.

9. (Student Paper) Fuhao Li* and Feng Ye, “Simplifying Data Traffic Classification with Byte Importance Distillation,” IEEE ICC 2021.

10. (Student Paper) Jielun Zhang*, Fuhao Li*, and Feng Ye, “An Ensemble-based Network Intrusion Detection Scheme with Bayesian Deep Learning,” IEEE ICC 2020, Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/ICC40277.2020.9149402.

11. (Student Paper) Jielun Zhang*, Fuhao Li*, Feng Ye, and Hongyu Wu*, "Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update," IEEE Conference on Computer Communications (INFOCOM), Toronto, ON, Canada, 2020, pp. 397-405, doi: 10.1109/INFOCOM41043.2020.9155292. (acceptance rate 19.8%).

12. Brian Whinery, Yuri Gulak, Vedang Chauhan, Jingzhou Zhao, Jingru Benner and Feng Ye, "Thermal Image Processing for Feature Extraction from Encapsulated Phase Change Materials," 13th International Conference on Machine Vision (ICMV 2020), Nov. 2-6 2020, Rome, Italy, doi: 10.1117/12.2586979.

13. Chen Huang, Zhongyuan Gan, Feng Ye, Pan Wang and Moxuan Zhang, "KNCR: Knowledge-Aware Neural Collaborative Ranking for Recommender Systems," 2020 IEEE DASC/PiCom/CBDCom/CyberSciTech, Calgary, AB, Canada, 2020, pp. 339-344, doi: 10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00066.

14. Pan Wang, Shuhang Li, Feng Ye, Zixuan Wang, Moxuan Zhang, “PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN,” IEEE ICC 2020, Dublin, Ireland, 2020, pp. 1-7, doi: 10.1109/ICC40277.2020.9148946.

15. (Student Paper) Jielun Zhang*, Fuhao Li*, Hongyu Wu* and Feng Ye, "Autonomous Model Update Scheme for Deep Learning based Network Traffic Classifiers," IEEE GLOBECOM 2019, Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9014036.

16. (Student Paper) Daidong Ying* and Feng Ye, “Learning Based and Adaptive CE Approach for Power Allocation in Massive MIMO-NOMA," IEEE GLOBECOM 2019, Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013798.

17. (Student Paper) Jiahui Yu* and Feng Ye, “User Equipment Localization and Victim Estimation with Next-Generation PSC in Emergency Response," IEEE GLOBECOM 2019, Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013920.

18. (Student Paper) Daidong Ying* and Feng Ye, "D2D-Assisted Physical-Layer Security in Next-Generation Mobile Network," 2019 International Conference on Computing, Networking and Communications (ICNC), Honolulu, HI, USA, 2019, pp. 324-328, doi: 10.1109/ICCNC.2019.8685362.

19. Xuejian Zhao, Xinhui Zhang, Feng Xiang, Feng Ye and Zhixin Sun, “A GA-optimized Weighted Mixed Kernel Function of SVM Based on Information Entropy,” International Conference on Artificial Intelligence and Security (ICAIS), July 26-28, 2019, New York, USA, doi: 10.1007/978-3-030-24265-7_34.

20. Chunling Cheng, Yangyunwu Liu, Jian Yang, Tao Zhu and Feng Ye, "Real-Time Dynamic Gesture Recognition based on Boundary-Constraint Dynamic Time Warping," IEEE NAECON 2019, Dayton, OH, USA, 2019, pp. 545-551, doi: 10.1109/NAECON46414.2019.9058155.

21. Zejiang Shen, Xili Wan, Feng Ye, Xinjie Guan and Shuwen Liu, "Deep Learning based Framework for Automatic Damage Detection in Aircraft Engine Borescope Inspection," IEEE ICNC'19, Honolulu, HI, USA, 2019, pp. 1005-1010, doi: 10.1109/ICCNC.2019.8685593.

22. Pan Wang, Yiqing Zhou, Feng Ye and Hao Yue, “Data Interpolation for Deep Learning based Encrypted Data Packet Classification,” IEEE ICNC 2019, Honolulu, HI, USA, 2019, pp. 51-55, doi: 10.1109/ICCNC.2019.8685570.

23. (Student Collaboration) Jian Yang, Jielun Zhang*, Feng Ye and Xiaohui Cheng, “A UAV based Multi-Object Detection Scheme to Enhance Road Condition Monitoring and Control for Future Smart Transportation”, EAI International Conference on Artificial Intelligence for Communications and Networks (AICON 2019), May 25-27, 2019, Harbin, China, doi: 10.1007/978-3-030-22971-9_23

24. (Student Paper) Jielun Zhang*, Feng Ye, and Yi Qian, “A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities,” 2018 IEEE International Smart Cities Conference (ISC2), Kansas City, MO, USA, 2018, pp. 1-7, doi: 10.1109/ISC2.2018.8656854.

25. (Student Paper) Daidong Ying* and Feng Ye, "Incentive D2D Off-loading Scheme for Energy Efficiency in the Next-Generation Mobile Networks", 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, 2018, pp. 1-5, doi: 10.1109/VTCFall.2018.8690572.

26. Xinjie Guan, Xili Wan, Feng Ye and Baek-Young Choi, “Handover Minimized Service Region Partition for Mobile Edge Computing in Wireless Metropolitan Area Networks,” IEEE ISC’18, Sept. 16-19, 2018, Kansas City, MO, doi: 10.1109/ISC2.2018.8656951.

27. Weipeng Zhou, Pan Wang, Xuejiao Chen and Feng Ye, “An Improved Bloom Filter in Distributed Crawler,” IEEE CBDCom’2018, Oct. 8-12, 2018, Guangzhou, China, pp. 1797-1802, doi: 10.1109/SmartWorld.2018.00303.

28. Michael Lee, Hao Yue, Jie Wang, Hongning Li and Feng Ye, “Reader Scheduling for Information Collection in Large-scale RFID Systems”, IEEE VTC’2018 Fall, Aug. 2018, Chicago, IL, USA, doi: 10.1109/VTCFall.2018.8690846.

29. Xili Wan, Wentian Zhao, Xinjie Guan, Feng Ye and Guangwei Bai, “Performance Guaranteed Traffic Signal Control With Frame-based Greedy Algorithm,” IEEE SECON 2018, Hong Kong, 2018, pp. 1-2, doi: 10.1109/SAHCN.2018.8397147.

30. Dongfeng Fang, Feng Ye, Yi Qian, Hamid Sharif, "Small Base Station Management - Improving Energy Efficiency in Heterogeneous Networks," The 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018), June 25-29, 2018, Limassol, Cyprus, pp. 1191-1196, doi: 10.1109/IWCMC.2018.8450467.

31. Jiaqi Huang, Dongfeng Fang, Feng Ye, Rose Hu, Yi Qian, “A Relay Selection Scheme to Prolong Connection Time for Public Safety Communications,” IEEE VTC’2018 Spring Workshop, June 3-6, 2018, Porto, Portugal, pp.1-5, doi: 10.1109/VTCSpring.2018.8417847.

32. Sohan Gyawali, Shengjie Xu, Feng Ye, Rose Hu, Yi Qian, “A D2D based Clustering Scheme for Public Safety Communications,” IEEE VTC’2018 Spring Workshop, June 3-6, 2018, Porto, Portugal, Portugal, pp.1-5, doi: 10.1109/VTCSpring.2018.8417844.

33. Shengjie Xu, Feng Ye, "A Predicate Encryption based Anomaly Detection Scheme for E-Health Communication Network", IEEE ICC’2018, May 20-24, 2018, Kansas City, MO, USA, pp.1-6, doi: 10.1109/ICC.2018.8422795.

34. Dongfeng Fang, Feng Ye, "Identity Management for E-Health Systems over 5G Networks", IEEE ICC’2018, May 20-24, 2018, Kansas City, MO, USA, pp.1-6, doi: 10.1109/ICC.2018.8422885.

35. (Student Collaboration) Xuejiao Chen, Jiahui Yu*, Feng Ye, Pan Wang and Zhixin Sun, “A Hierarchical Approach to Encrypted Data Packet Classification in Smart Home Gateways,” 2018 IEEE Cyber Science and Technology Congress, Aug. 2018, Athens, Greece, pp. 41-45, doi: 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00022.

36. (Undergraduate Student Research) Feng Ye, Yujun Sun*, and Andrew Rettig, “Exploring Authentication and Access Control for an IoT Green Roof Monitoring System”, 2017 IEEE Cyber Science and Technology Congress (CyberSciTech), Nov. 6 – 10, Orlando, FL, USA, 2017, pp. 251-256, doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.53.

37. Feng Ye and Yi Qian, "A Security Architecture for Networked Internet of Things Devices", IEEE GLOBECOM'17, Singapore, Dec. 2017, pp. 1-6, doi: 10.1109/GLOCOM.2017.8254021.

38. Dongfeng Fang, Feng Ye, Yi Qian, and Hamid Sharif, “An Efficient Incentive Mechanism for Cloud-based Mobile Sensor Network”, IEEE EIT’2017, Lincoln, NE, USA, 2017, pp. 229-234, doi: 10.1109/EIT.2017.8053360.

39. Feng Ye, Yi Qian, and Rose Qingyang Hu, "An Identity-Based Security Scheme for a Big Data Driven Cloud Computing Framework in Smart Grid", IEEE GLobecom’15, San Diego, CA, 2015, pp. 1-6, doi: 10.1109/GLOCOM.2015.7417459.

40. Feng Ye, Yi Qian, and Rose Qingyang Hu, “Design for Reliable and Self-Sustaining Neighborhood Area Network in Smart Grid,” 2015 11th International Conference on the Design of Reliable Communication Networks (DRCN), Kansas City, MO, USA, 2015, pp. 251-254, doi: 10.1109/DRCN.2015.7149021.

41. Feng Ye, Yi Qian, and Rose Qingyang Hu, "Self-Sustaining Wireless Neighborhood Area Network Design for Smart Grid," IEEE Globecom'2014, Austin, Dec. 2014, pp. 2715-2720, doi: 10.1109/GLOCOM.2014.7037218.

42. Feng Ye, Yi Qian, and Rose Qingyang Hu, "A Security Protocol for Advanced Metering Infrastructure in Smart Grid," IEEE Globecom'2014, Austin, Dec. 2014, pp. 649-654, doi: 10.1109/GLOCOM.2014.7036881.

43. Sucheng Fan, Feng Ye, Jinghong Guo, Yun Liang, Guoliang Xu, Xuping Zhang and Yi Qian, "A Security Protocol for Wireless Sensor Networks Designed for Monitoring Smart Grid Transmission Lines," 2014 23rd International Conference on Computer Communication and Networks (ICCCN), Shanghai, China, 2014, pp. 1-7, doi: 10.1109/ICCCN.2014.6911789.

44. Guo Zheng, Feng Ye, Jinghong Guo, Yun Liang, Guoliang Xu, Xuping Zhang, and Yi Qian, "A Wireless Sensor Network for Monitoring Smart Grid Transmission Lines," 2014 23rd International Conference on Computer Communication and Networks (ICCCN), Shanghai, China, 2014, pp. 1-6, doi: 10.1109/ICCCN.2014.6911790.

45. Feng Ye, Jiazhen Zhou, Yi Qian, and Rose Qingyang Hu, "Application-Aware Routing for Multi-hop Cognitive Radio Networks with Channel Bonding," IEEE Globecom’2013, Atlanta, GA, USA, 2013, pp. 4372-4377, doi: 10.1109/GLOCOMW.2013.6855639.

46. Feng Ye, Yi Qian, Yaoqing Yang, and Hamid Sharif, "Xing-Zone Bridge Construction for Multi-hop Cognitive Radio Networks with Channel Bonding," IEEE WCNC’2013, Shanghai, China, 2013, pp. 1709-1714, doi: 10.1109/WCNC.2013.6554821.

47. Feng Ye, Jiazhen Zhou, Yaoqing Yang, Hamid Sharif, and Yi Qian, "Constructing Backbone of a Multi-hop Cognitive Radio Network with Channel Bonding," IEEE Globecom'2012, Anaheim, CA, USA, 2012, pp. 5596-5601, doi: 10.1109/GLOCOM.2012.6504012.