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个人简介

章阳,博士,南京航空航天大学计算机科学与技术学院副教授。于北京航空航天大学取得工学学士、工学硕士学位;2015年于新加坡南洋理工大学(NTU)取得博士学位,导师为Dr. Dusit Niyato(IEEE Fellow)与Dr. Ping Wang (IEEE Fellow)。曾任武汉理工大学计算机学院讲师(2015-2016)、副教授(2016-2021)。曾于 2014-2015 年间访问成均馆大学 Dr. Dong In Kim(IEEE Fellow)研究组,于 2019 年-2020 年在新加坡南洋理工大学能源研究所 ERI@N 任 Research Fellow/访问学者职位,从事区块链能源交易系统的设计与优化研究。 当前任 EURASIP Journal on Wireless Communications and Networking 期刊编委、Elsevier Computer Communications 期刊技术委员、《计算机工程》青年编委、Digital Communications and Networks客座编委(Leading),任多个知名国际期刊和会议审稿人。主持国家自然科学基金青年项目、面上项目,以及多项其他基金与企业委托项目。 近年在各IEEE Trans等期刊与会议发表论文50余篇,获得DroneCom 2020、WINSYS 2021、IEEE TrustCom 2021、IEEE CPSCom 2021等会议最佳论文奖项,获IEEE CSIM TC Best Journal Paper Award最佳期刊论文奖。2017 年获湖北省楚天学者计划青年项目支持。 当前研究兴趣主要包括:网络系统的协同与优化、无人系统、AI方法驱动的智能决策与智能系统等。 教育经历 2011.12015.7Nanyang Technological UniversityComputer Engineering 2008.92011.1北京航空航天大学计算机科学与技术 2004.92008.7北京航空航天大学人机工程 工作经历 2021.5至今南京航空航天大学计算机科学与技术学院 2015.82021.4武汉理工大学计算机科学与技术学院 授课信息 多智能体控制系统 /2021-2022 /秋学期 /96课时 /0.0学分 /16105090 多智能体控制系统实验 /2021-2022 /秋学期 /0.0学分 /16105110

研究领域

移动网络与分布式系统 无人系统 多智能体系统 智能网络系统

近期论文

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[TVT-5] Z. Tang, L. Sun, X. Tian, D. Niyato, and Y. Zhang, "Artificial-Noise-Aided Coordinated Secure Transmission Design in Multi-Cell Multi-Antenna Networks with Limited Feedback," IEEE Transactions on Vehicular Technology, accepted, 2021. [TII-2] Y. Zhang, M. Liu, J. Nie, Q. Ding, Y. Duan, Y. Zhang, and Z. Xiong, "ReflectU: A Mirror-based Intelligent Interactive System for Intuitive Remote Control," IEEE Transactions on Industrial Informatics, accepted, 2021. [IoTJ-6] Z. Tang, L. Sun *, D. Niyato, Y. Zhang*, and A. Liu, "Jammer-Assisted Secure Precoding and Feedback Design for MIMO IoT Networks," IEEE Internet of Things Journal, accepted, 2021. [IoTJ-5] J. Tang, J. Nie, Z. Xiong, J. Zhao, Y. Zhang, and D. Niyato, "Slicing-based Reliable Resource Orchestration for Secure Software Defined Edge-Cloud Computing Systems," IEEE Internet of Things Journal, accepted, 2021. [TPDS-1] W. Y. B. Lim, J. S. Ng, Z. Xiong, J. Jin, Y. Zhang, D. Niyato, C. Leung, and C. Miao, "Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning," IEEE Transactions on Parallel and Distributed Systems, accepted, 2021. [ASC-1] K. Peng, J. Nie, N. Kumar, C. Cai, J. Kang, Z. Xiong, and Y. Zhang, "Joint Optimization of Service Chain Caching and Task Offloading in Mobile Edge Computing," Applied Soft Computing, vol. 103, 107142, May 2021. [NETMAG-3] W. Y. B. Lim, S. Garg, Z. Xiong, Y. Zhang *, D. Niyato, C. Leung, and C. Miao, "UAV-Assisted Communication Efficient Federated Learning in the Era of the Artificial Intelligence of Things," IEEE Network, accepted, 2021. [TII-1] S. Tang, C. Wang, J. Nie, N. Kumar, Y. Zhang, Z. Xiong, and A. Barnawi, "EDL-COVID: Ensemble Deep Learning for COVID-19 Cases Detection from Chest X-Ray Images," IEEE Transactions on Industrial Informatics, accepted, 2021. [广工学报] 李明磊, 章阳, 康嘉文, 徐敏锐, Dusit Niyato. 基于多智能体强化学习的区块链赋能车联网中的安全数据共享[J]. 广东工业大学学报, 2021, 38(06): 62-69. [TMC-2] Z. Xiong, J. Zhao, Y. Zhang *, D. Niyato, and J. Zhang, "Contract Design in Hierarchical Game for Sponsored Content Service Market," IEEE Transactions on Mobile Computing, vol. 20, no. 9, Sep 2021. [TVT-4] J. Kang, Z. Xiong, X. Li, Y. Zhang, D. Niyato, C. Leung, and C. Miao, "Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning," IEEE Transactions on Vehicular Technology, vol. 70, no. 2, pp. 1910-1923, Feb 2021. [IoTJ-4] R. W. Liu, J. Nie, S. Garg, Z. Xiong, Y. Zhang *, and M. S. Hossain, "Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems," IEEE Internet of Things Journal, vol. 8, no. 7, pp. 5374-5385, Apr 2020. [TCCN-1] Z. Xiong, Y. Zhang *, W. Y. B. Lim, J. Kang, D. Niyato, C. Leung, and C. Miao, "UAV-Assisted Wireless Energy and Data Transfer with Deep Reinforcement Learning," IEEE Transactions on Cognitive Communications and Networking, vol. 7, no. 1, pp. 85-99, Mar 2021. [TNSE-1] X. Huang, S. Garg, J. Nie, W. Y. B. Lim, Y. Qi, Y. Zhang, and M. S. Hossain, "Toward Efficient Data Trading in AI Enabled Reconfigurable Wireless Sensor Network using Contract and Game Theories," IEEE Transactions on Network Science and Engineering, accepted, 2020. [IoTJ-3] Y. Liu, S. Garg, J. Nie, Y. Zhang, Z. Xiong, J. Kang, and M. S. Hossain, "Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach," IEEE Internet of Things Journal, vol. 8, no. 8, pp. 6348-6358, Apr 2021. [IoTJ-2] Z. Xiong, S. Feng, D. Niyato, P. Wang, Y. Zhang, and B. Lin, "A Stackelberg Game Approach for Sponsored Content Management in Mobile Data Market with Network Effects," IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5184-5201, June 2020. [WCOMMAG-1] J. Kang, Z. Xiong, D. Niyato, Y. Zou, Y. Zhang, and M. Guizani, "Reliable Federated Learning for Mobile Networks," IEEE Wireless Communications, vol. 27, no. 2, pp. 72-80, Apr 2020. [TWC-1] Z. Xiong, D. Niyato, P. Wang, Z. Han, and Y. Zhang *, "Dynamic Pricing for Revenue Maximization in Mobile Social Data Market with Network Effects," IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1722-1737, Mar 2020. [TCOM-1] Y. Zhang, Z. Xiong, D. Niyato, P. Wang, H. V. Poor, and D. I. Kim, "A Game-Theoretic Analysis for Complementary and Substitutable IoT Services Delivery with Externalities," IEEE Transactions on Communications, vol. 68, no. 1, pp. 615-629, Jan. 2020 [NETMAG-2] Y. Zhang, Z. Xiong, D. Niyato, P. Wang, and Z. Han, "Information Trading in Internet of Things for Smart Cities: A Market-Oriented Analysis," IEEE Network, vol. 34, no. 1, pp.122-129, Jan/Feb 2020. [NETMAG-1] Z. Xiong, Y. Zhang *, N. C. Luong, D. Niyato, P. Wang, and N. Guizani, "The Best of Both Worlds: A General Architecture for Data Management in Blockchain-enabled Internet-of-Things," IEEE Network, vol. 34, no. 1, pp. 166-173, Jan/Feb 2020. [ACCESS-1] Z. Wang, J. Wang, Y. Zhang, and D. Niyato "Strategic Access and Pricing in Internet of Things (IoT) Service with Energy Harvesting," IEEE Access, vol. 7, pp. 34655-34674, Mar 2019. [VTMAG-1] Z. Xiong, Y. Zhang *, D. Niyato, R. Deng, P. Wang, and L.-C. Wang, "Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications and Challenges," IEEE Vehicular Technology, vol. 14, no. 2, pp. 44-52, 2019. [IoTJ-1] Y. Zhang, Z. Xiong, D. Niyato, P. Wang, and D. I. Kim, "Toward a Perpetual IoT System: Wireless Power Management Policy with Threshold Structure," IEEE Internet of Things Journal, vol. 5, no. 6, pp. 5254-5270, Dec 2018. [TVT-3] K. Wang, L. Chen, J.Yu, Q. Fan, Y. Zhang, W. Chen, P. Zhou, and Y. Zhong, "On Optimality of Second-Highest Policy for Opportunistic Multichannel Access," IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 12012-12024, Dec 2018. [COMMAG-2] Z. Xiong, Y. Zhang, D. Niyato, P. Wang, and Z. Han, "When Mobile Blockchain Meets Edge Computing," IEEE Communications Magazine, vol. 56, no. 8, pp. 33-39, Aug 2018. [TVT-2] Y. Zhang, D. Niyato, P. Wang, D. I. Kim, and Z. Han, "Optimal Wireless Energy Charging for Incentivized Content Transfer in Mobile Publish-Subscribe Networks," IEEE Transactions on Vehicular Technology, vol. 66, no. 4, pp. 3420-3434, Apr 2017. [TVT-1] Y. Zhang, D. Niyato, P. Wang, and D. I. Kim, "Optimal Energy Management Policy of Mobile Energy Gateway," IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3685-3699, May 2016. [TMC-1] Y. Zhang, D. Niyato, and P. Wang, "Offloading in Mobile Cloudlet Systems with Intermittent Connectivity," IEEE Transactions on Mobile Computing, vol. 14, no. 12, pp. 1536-1233, Dec 2015. [COMST-1] Y. Zhang, C. Lee, D. Niyato, and P. Wang, "Auction Approaches for Resource Allocation in Wireless Systems: A Survey," IEEE Communications Surveys and Tutorials, vol. 15, no. 3, pp. 1020-1041, 3rd Quarter 2013. [COMMAG-1] Y. Zhang, D. Niyato, P. Wang, and E. Hossain, "Auction-Based Resource Allocation in Cognitive Radio Systems," IEEE Communications Magazine, vol. 50, no. 11, pp. 108-120, 2013.

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