Quyuan Luo

Southwest Jiaotong University — China

Computer Science · Physical Sciences

11h-index1.2kcitations25works3.72yr avg
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Research Topics

IoT and Edge/Fog Computing(13), Vehicular Ad Hoc Networks (VANETs)(10), Opportunistic and Delay-Tolerant Networks(6), Age of Information Optimization(6), Mobile Ad Hoc Networks(4)

Publications25 total

Joint Task Migration and Resource Allocation in Vehicular Edge Computing: A Deep Reinforcement Learning-Based Approach
IEEE Transactions on Vehicular Technology·2025· 4 cited
Task Classification Based Resource Allocation in Parked Vehicle Assisted Vehicle Edge Computing: A Deep Reinforcement Learning Approach
IEEE Transactions on Vehicular Technology·2025· 1 cited
Heterogeneous Task Oriented Data Scheduling in Vehicular Edge Computing via Deep Reinforcement Learning
IEEE Transactions on Vehicular Technology·2024· 6 cited
Erratum to: CA-DTS: A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network
Journal of Computer Science and Technology·2023Open Access
Incentive Based Federated Learning Data Dissemination for Vehicular Edge Computing Networks
2023· 4 cited
CA-DTS: A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network
Journal of Computer Science and Technology·2023· 7 cited
QoS-Aware Content Dissemination Based on Integrated Social and Physical Attributes Among Cellular and V2V Users
IEEE Transactions on Vehicular Technology·2023· 9 cited
Edge Computing Enabled Energy-Efficient Multi-UAV Cooperative Target Search
IEEE Transactions on Vehicular Technology·2023· 23 cited
Deep Reinforcement Learning Based Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search
IEEE Journal on Selected Areas in Communications·2022· 119 cited
QoE-Driven Computation Offloading: Performance Analysis and Adaptive Method
2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)·2021· 2 cited
Resource Scheduling in Edge Computing: A Survey
arXiv (Cornell University)·2021· 7 citedOpen Access
Self-Learning Based Computation Offloading for Internet of Vehicles: Model and Algorithm
IEEE Transactions on Wireless Communications·2021· 89 cited
Minimizing the Delay and Cost of Computation Offloading for Vehicular Edge Computing
IEEE Transactions on Services Computing·2021· 170 cited
Resource Scheduling in Edge Computing: A Survey
IEEE Communications Surveys & Tutorials·2021· 492 cited
Three-Side Dynamic Task Offloading for Smart Roads Enabled Vehicular Edge Computing
2020· 2 cited
Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning
IEEE Internet of Things Journal·2020· 145 cited
EdgeVCD: Intelligent Algorithm-Inspired Content Distribution in Vehicular Edge Computing Network
IEEE Internet of Things Journal·2020· 35 cited
Vehicle-Mounted Base Station for Connected and Autonomous Vehicles: Opportunities and Challenges
IEEE Wireless Communications·2019· 37 cited
Optimal Utility of Vehicles in LTE-V Scenario: An Immune Clone-Based Spectrum Allocation Approach
IEEE Transactions on Intelligent Transportation Systems·2018· 20 cited
GECM: A Novel Green Wave Band Based Energy Consumption Model for Electric Vehicles
2018· 2 cited
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Frequent Co-authors

Changle Li(12), Weisong Shi(12), Tom H. Luan(12), Pingzhi Fan(6), Shihong Hu(3), Guanghui Li(3), Xuelian Cai(3), Qiang Ye(2), Lina Zhu(2), Xiaolei Han(2), Muhammad Saleh Bute(2), Zhifang Miao(2), Shihong Hu(2), Baoliu Ye(2), Jiyun Zhang(2), Weigang Wu(1), Guoqiang Mao(1), Min Sheng(1), Jiandong Li(1), Yingyou Wen(1)