硕士生导师
个人信息Personal Information
学历:博士研究生毕业
学位:工学博士学位
毕业院校:西安电子科技大学
学科:通信与信息系统
所在单位:信息科学与技术学院
报考该导师研究生的方式
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Journal Articles
[J14]Quyuan Luo, Tom H. Luan, Weisong Shi, and Pingzhi Fan, "Heterogeneous Task Oriented Data Scheduling in Vehicular Edge Computing via Deep Reinforcement Learning," IEEE Transactions on Vehicular Technology, early access, 2024.[pdf]
[J13]Quyuan Luo, Tom H. Luan, Weisong Shi, and Pingzhi Fan, "Edge Computing Enabled Energy-Efficient Multi-UAV Cooperative Target Search," IEEE Transactions on Vehicular Technology, vol. 72, no. 6, pp. 7757-7771, 2023. [pdf]
[J12]Quyuan Luo, Tom H. Luan, Weisong Shi, and Pingzhi Fan, "Deep Reinforcement Learning Based Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search," IEEE Journal on Selected Area in Communications, vol. 41, no. 2, pp. 504-520, 2023. [pdf]
[J11] Muhammad Saleh Bute, Pingzhi Fan, Quyuan Luo, Li Zhang, and FakharAbbas, "QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes among Cellular and V2V Users," IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12181-12194, 2023. [pdf]
[J10] Shihong Hu, Quyuan Luo, Guanghui Li, Weisong Shi, Baoliu Ye, "CA-DTS A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network," Journal of Computer Science and Technology, vol. 38, no. 5, pp. 1113-1131, 2023. [pdf]
[J9] Quyuan Luo, Shihong Hu, Changle Li, Guanghui Li, and Weisong Shi, “Resource Scheduling in Edge Computing: A Survey,” IEEE Communications Surveys and Tutorials, vol. 23, no. 4, pp. 2131-2165, Fourthquarter 2021. [pdf](ESI高被引论文)
[J8] Quyuan Luo, Changle Li, Tom H. Luan, Weisong Shi and Weigang Wu, “Self-Learning based Computation Offloading for Internet of Vehicles: Model and Algorithm,” IEEE Transactions on Wireless Communications, vol. 20, no. 9, pp. 5913-5925, 2021. [pdf ]
[J7] Quyuan Luo, Changle Li, Tom H. Luan and Weisong Shi, “Minimizing the Delay and Cost of Computation Offloading for Vehicular Edge Computing,” IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2897-2909, 2022. [pdf ]
[J6] Quyuan Luo, Changle Li, Tom H. Luan and Weisong Shi, “Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9637-9650, 2020. [pdf]
[J5] Quyuan Luo, Changle Li, Tom H. Luan and Weisong Shi, “EdgeVCD: Intelligent Algorithm Inspired Content Distribution in Vehicular Edge Computing Network,” IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5562-5579, 2020. [pdf]
[J4] Yunpeng Wang, Quyuan Luo, Changle Li and Guoqiang Mao, “Research and Implementation of Pedestrian Detection Technology Based on Smart Road," Chinese Journal on Internet of Things, vol. 3, no. 3, pp. 84-89, 2019. [pdf]
[J3] Changle Li, Quyuan Luo, Guoqiang Mao, Min Sheng and Jiandong Li, “Vehicle-Mounted Base Station for Connected and Autonomous Vehicles: Opportunities and Challenges,” IEEE Wireless Communications, vol. 26, no. 4, pp. 30-36, 2019. [pdf]
[J2] Quyuan Luo, Changle Li, Tom H. Luan and Yingyou Wen, “Optimal Utility of Vehicles in LTE-V Scenario: An Immune Clone Based Spectrum Allocation Approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 5, pp. 1942-1953, 2019. [pdf]
[J1] Quyuan Luo, Xuelian Cai, Tom H. Luan and Qiang Ye, “Fuzzy Logic-Based Integrity-Oriented File Transfer for Highway VehicularCommunications,” EURASIP Journal on Wireless Communications and Networking, 2018, 2018(1):3. [pdf]
Conference Proceedings
[C6] Muhammad Saleh Bute, Pingzhi Fan, and Quyuan Luo, "Incentive Based Federated Learning Data Dissemination for Vehicular Edge Computing Networks," in Proceedings of 2023 IEEE 98th Vehicular Technology Conference (VTC2023Fall), 10-13 October 2023, Hong Kong, China, pp.1-5. [pdf]
[C5] Quyuan Luo, Weisong Shi and Pingzhi Fan, “QoE-Driven Computation Offloading: Performance Analysis and Adaptive Method," in Proceedings of 2021 International Conference on Wireless Communications and Signal Processing (WCSP), Oct. 20-22, 2021, Changsha, China, pp. 1-5. [pdf]
[C4] Yunpeng Wang, Quyuan Luo and Changle Li, “Three-side Dynamic Task Offloading for Smart Roads Enabled Vehicular Edge Computing," in Proceedings of 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 18 Nov.-16 Dec. 2020, Victoria, BC, Canada, pp. 1-5. [pdf]
[C3] Quyuan Luo, Changle Li, Qiang Ye, Tom H. Luan, Lina Zhu and Xiaolei Han, “CFT: A Cluster-based File Transfer Scheme for Highway VANETs,” in Proceedings of 2017 IEEE International Conference on Communications (ICC), May 21-25, 2017, Paris, France, pp.1-6. [pdf]
[C2] Pengfei Huang, Changle Li, Quyuan Luo, Yao Zhang and Bing Xia, “GECM: A Novel Green Wave Band Based Energy Consumption Model for Electric Vehicles,” in Proceedings of 2018 IEEE 87th Vehicular Technology Conference (VTC-Spring), June 3-6, 2018, Porto, Porto, pp. 1-5. [pdf]
[C1] Zhifang Miao, Xuelian Cai, Quyuan Luo, Weiwei Dong, “A FLRBF Scheme for Optimization of Forwarding Broadcast Packets in Vehicular Ad Hoc Networks," in Proceedings of 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), September 4-8, 2016, Valencia, Spain, pp. 1-5. [pdf]
Patents
[P6] 李长乐;苗志芳;蔡雪莲;罗渠元;基于模糊算法的车辆自组织网络资源管理方法,2018-11-16,中国,2016101176791.1(已授权)
[P5] 李长乐; 刘钊; 毛国强; 陈志强; 王云鹏; 王辉; 赵瑞钢; 罗渠元; 刘安琪;一种道路行人检测系统及其组网方法,2021-12-21,中国,201910852853.0(已授权)
[P4] 毛国强; 陈志强; 刘钊; 王辉; 赵瑞钢; 罗渠元; 刘安琪; 王云鹏;行人检测装置部署方法、装置、计算机设备及存储介质,2021.06.22,中国,201910329293.0(已授权)
[P3] 李长乐;赵瑞钢;毛国强;王辉;罗渠元;刘安琪;行人检测方法、装置、计算 机设备及存储介质,2020-07-14,中国,201811294089.1. (已授权)
[P2] 李长乐;赵瑞钢;毛国强;王辉;罗渠元;刘安琪;行人与车辆的区分方法、装 置、计算机设备及存储介质,2020-07-14,中国,201811294078.3.(已授权)
[P1] 李长乐;赵瑞钢;毛国强;王辉;罗渠元;刘安琪;行人及动物检测方法、装置 、计算机设备及存储介质,2020-06-30,中国,201811293897.6.(已授权)
Services
1. Program Commitee (PC) of IEEE EDGE, 2021-
2. Program Commitee (PC) of EdgeComm, 2021-
Activities
1. Oral Presentation, 国家自然科学基金委员会国际合作与交流项目开题交流会,2024.08.30,南通大学,"Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search via Deep Reinforcement Learning"
2. Oral Presentation, 2021 International Conference on Wireless Communications and Signal Processing (WCSP), Oct. 20-22, 2021, Changsha, China, "QoE-Driven Computation Offloading: Performance Analysis and Adaptive Method"
3. Oral Presentation, 2017 IEEE International Conference on Communications (ICC), May 21-25, 2017, Paris, France, "CFT: A Cluster-based File Transfer Scheme for Highway VANETs"