1.国家自然科学基金委员会, 青年项目, 61771217, 多重不确定因素下无源体域网信息新鲜度优化研究, 2023-01-01 至 2025-12-31, 在研, 负责人 2.中国博士后科学基金会,中国博士后科学基金第16批特别资助(站中),2023T160264, 通感融合背景下无源体域网高可靠高时效关键技术研究, 在研, 负责人 3.吉林省人力资源和社会保障厅, 吉林省博士后科研人员择优资助项目, 融合无源感知的体域网高可靠高时效通信机制研究,在研, 负责人 4.国家自然科学基金委员会, 区域创新发展基金, U21A20445, 高速轨道客车车组间及车辆间无线感知理论与关键技术, 2022-01-01 至 2025-12-31, 在研, 骨干成员 5.吉林省科技厅,中青年科技创新创业卓越人才(团队)项目(创新类),20230508035RC,2023-01-01 至 2024-12-31,在研, 骨干成员 6.国家自然科学基金委员会, 面上项目, 61771217, 基于高维概率理论的大尺度多天线网络异常检测与估计方法研究, 2018-01-01 至 2021-12-31, 结题, 骨干成员 7.国家自然科学基金委员会, 面上项目, 61671219, 动态环境下无线体域网的能量和信息高效传输关键技术研究, 2017-01-01 至 2020-12-31, 结题, 骨干成员 8.吉林省科技厅, 吉林省重点科技攻关项目, 20190302031GX, 多源信息智能感知与人机交互关键技术研究, 2019-09 至 2021-12, 结题, 骨干成员 9.长春市科技局, 长春市科技创新 “双十工程”重大科技攻关项目, 18SS010, 基于体域网的多元环境智能感知系统研制, 2018-07 至 2020-06, 结题, 骨干成员 |
近5年,瞄准无源感知通信方向世界科技前沿问题,服务人民生命健康和国防重大装备需求,从事可靠通信和智能感知基础理论、关键技术和工程技术等方面研究,围绕该系统中高能效、低时延、高可靠等关键科学问题,取得了一系列标志性成果,并应用于医疗、军事等领域;截止2023年10月,在IEEE TCOM、IEEE TITS、IEEE IoTJ等国际著名期刊/会议上发表学术论文32篇(第一/通信作者12篇),影响因子>5.0论文11篇;授权及公开中国/美国发明专利16项。相关成果得到来自美国、加拿大等10个国家3位外籍院士(正面引用5篇次)、15位IEEE Fellow的积极评价。代表作论文如下: [1]Fengye Hu, Zhuang Ling(通信作者), Tanda Liu, Hailong Li, and Bo Ai, “Wireless Perception of High-Speed Railway Communication:Challenges, Framework, and Future Directions,” IEEE Wireless Communications, 2023. (SCI一区,IF:12.9) [2]Ge Xin, Fengye Hu, Zhuang Ling(通信作者), Shun Na, and Chi Jin, "Dynamic Scheduling for Minimizing Age Penalty in Resource-Constrained Classified WBANs with Energy Harvesting," IEEE Sensors Journal, vol. 23, no. 19, pp. 23638-23652, Oct. 2023. (SCI二区,IF:4.3) [3]Zhuang Ling, Fengye Hu, Tanda Liu, Ziye Jia, and Zhu Han, “Hierarchical Deep Reinforcement Learning for Self-Powered Monitoring and Communication Integrated System in High-Speed Railway Networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 6, pp. 6336-6349, June 2023. (SCI一区,IF: 9.551) [4]Zhuang Ling, Fengye Hu, Hongliang Zhang, and Zhu Han, “Age of Information Minimization in Healthcare IoT Using Distributionally Robust Optimization,” IEEE Internet of Things Journal, vol. 9, no. 7, pp. 16154 - 16167, Feb. 2022. (SCI一区,IF:9.936) [5]Zhuang Ling, Fengye Hu, Yu Zhang, Lei Fan, Feifei Gao, and Zhu Han, “Distributionally Robust Chance-Constrained Backscatter Communication-Assisted Computation Offloading in WBANs,” IEEE Transactions on Communications, vol.69, no.5, pp. 3395-3408, May 2021. (SCI二区,IF:5.646) [6]Zhuang Ling, Fengye Hu, Tanda Liu, Zhi Mao, and Zhu Han, “Hierarchical DRL for Self-supplied Monitoring and Communication Integrated System in HSR,” GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, Dec. 2022, pp. 1-6 [7]Zhuang Ling, Fengye Hu, Hongliang Zhang, Zhu Han, and H. Vincent Poor., “Distributionally Robust Optimization for Peak Age of Information Minimization in E-Health IoT,” ICC 2021-2021 IEEE International Conference on Communications (ICC). Montreal, Canada. Jun. 2021, pp. 1-6. [8]Zhuang Ling, Fengye Hu, Yu Zhang, Feifei Gao, and Zhu Han, “Distributionally Robust Chance-Constrained Optimization for Communication and Offloading in WBANs,” GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, Dec. 2020, pp. 1-6. [9]Zhuang Ling, Fengye Hu, Dong. Li, and Zhu Han “Tag Selection for Backscatter Communication in Classified Wireless Body Area Networks,” 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), Apr. 2020, pp. 1-6. [10]Zhuang Ling, Fengye Hu, and Dong. Li, “Optimal Resource Allocation in Point-to-Point Wireless Body Area Network with Backscatter Communication,” 2020 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA, Feb. 2020, pp. 780-784. |