个人简介
教育背景：
2011年于华中科技大学获得信息与通信工程博士学位。
职业经历：
2001年至今，在华中科技大学电子信息与通信学院工作；
2013-2014年期间，在美国密西根大学访学。
承担课程：
C语言程序设计，计算机网络
主要科研项目：
[1] 反向散射通信关键技术研究，湖北省自然科学基金项目
[2] 认知无线电频谱监测与侵权取证关键技术研究，国家自然科学基金项目
[3] 面向智能化教学环境的多情境数据感知技术，国家重点研发计划课题
近期论文
查看导师新发文章
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[1] Jing Xu, Jiachen Li, Shimin Gong, Kun Zhu, Dusit Niyato, “Passive Relaying Game for Wireless Powered Internet of Things in Backscatter-Aided Hybrid Radio Networks”, IEEE Internet of Things Journal, 2019, 6(5): 8933-8944.
[2] Shimin Gong, Jing Xu, Dusit Niyato, Xiaoxia Huang, Zhu Han, “Backscatte r-Aided Cooperative Relay Communications in Wireless-Powered Hybrid Radio Networks”, IEEE Network, 2019, 33(5): 234-241.
[3] Jing Xu, Yuze Zou, Shimin Gong, Lin Gao, Dusit Niyato, Wenqing Cheng, “Robust Transmissions in Wireless-Powered Multi-Relay Networks With Chance Interference Constraints”, IEEE Transactions on Communications, 2018, 67(2): 973-987.
[4] Jing Xu, Shimin Gong, Yuze Zou, Wei Liu, Kai Zeng, Dusit Niyato, “Redundant Sniffer Deployment for Multi-Channel Wireless Network Forensics with Unreliable Conditions”, IEEE Transactions on Cognitive Communications and Networking, 2020, 6(1): 394-407.
[5] Wenbo Xu, Jing Xu, Jiachen Li, Wei Liu, Shimin Gong, Kai Zeng, “Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information”, IEEE Access, no. 6, pp. 34696-34706, 2018.
[6] Jing Xu, Qingsi Wang, Kai Zeng, Mingyan Liu, Wei Liu, “Sniffer Channel Assignment With Imperfect Monitoring for Cognitive Radio Networks”, IEEE Transactions on Wireless Communications, 2016, 15(3): 1703-1715.
[7] Mengling Yu, Jing Xu, Jinrong Zhong, Wei Liu, Wenqing Cheng, “Behavior detection and analysis for learning process in classroom environment”, in Proceedings of 2017 IEEE Frontiers in Education Conference (FIE), 2017.
[8] Zijian Fan, Jing Xu, Wei Liu, Wenqing Cheng, “Gesture based misbehavior detection in online examination”, in Proceedings of 2016 11th International Conference on Computer Science & Education (ICCSE), 2016.
[9] Peijie Liao, Jing Xu, Shimin Gong, Wei Liu, Wenqing Cheng, Yingying Yi, “Clustering Analysis of MOOC Video Watching Behavior Based on Behavior Sequences”, in Proceedings of 2021 16th International Conference on Computer Science & Education (ICCSE), 2021.
[10] Xin Gu, Jing Xu, Peijie Liao, Liu Wei, Cheng Wenqing, “Are the Performance Prediction Models in MOOC General: Perspective from Big Data”, in Proceedings of 2020 IEEE Learning With MOOCS (LWMOOCS), 2020.
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