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范文浩

副教授

性别:男

联系方式:whfan[at]bupt.edu.cn

学位:博士学位

在职信息:在职

所在单位:电子工程学院

学历:研究生毕业

所属院系:电子工程学院

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个人简介

范文浩,博士,北京邮电大学电子工程学院,长聘副教授,硕士、博士生导师


研究方向:长期致力于通信网络关键技术研究,重点关注边缘计算/边缘智能、通感算智融合、物联网与移动互联网、网络信息安全等领域

学术成果:在本领域有影响力的学术期刊和会议上发表论文近百篇,其中,以第一、二作者身份在IEEE TMC、TWC、TII、T-ITS、TNSM、TCC、TVT、IOTJ、INFOCOM和SCIS等国内外著名期刊和会议上发表论文,第一作者论文入选ESI高被引全球前1%)和研究前沿论文,获授权发明专利五十余项,第一作者出版专著一部

科研项目:主持/参与国家自然科学基金、国家863计划、国家重点研发计划/国家重大科技专项、国家十三五科技计划、装发预研、广东省扬帆计划/科技计划、北京市自然科学基金、青海省重点研发与转化计划等国家/省部级项目/课题,以及中国电子科技集团、中国移动、国家电网等校企合作项目,获北邮青年科技创新人才支持计划、青年创新人才培育项目等资助

科研获奖:获2021年度中国电子学会科技进步二等奖,2021年度中国人工智能学会技术发明二等奖,2018年度广东省优秀科技成果奖,2017年度中国电子学会科技进步一等奖

教育荣誉:入选2023年中国通信学会硕士学位论文激励计划(原优秀硕士学位论文)指导教师,第三批全国高校黄大年式教师团队成员,北京邮电大学优秀硕士学位论文指导教师,指导研究生曾获国家奖学金,校级优秀毕业生等荣誉


学术论文(第1、2作者):

[1] (TMC) Hybrid Deep Reinforcement Learning-Based Task Offloading for D2D-Assisted Cloud-Edge-Device Collaborative Networks, IEEE Transactions on Mobile Computing, 2024. [Link]

[2] (TNSM) MEC Network Slicing: Stackelberg-Game-Based Slice Pricing and Resource Allocation With QoS Guarantee, IEEE Transactions on Network and Service Management, 2024. [Link]

[3] (T-ITS) Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation, IEEE Transactions on Intelligent Transportation Systems, 2024. [Link]

[4] (TMC) Time-Slotted Task Offloading and Resource Allocation for Cloud-Edge-End Cooperative Computing NetworksIEEE Transactions on Mobile Computing, 2024. [Link]

[5] (TMC) Blockchain-Secured Task Offloading and Resource Allocation for Cloud-Edge-End Cooperative Networks, IEEE Transactions on Mobile Computing, 2023. [Link]

[6] (IOT-J) Resource Matching for Blockchain-Assisted Edge Computing Networks, IEEE Internet of Things Journal, 2023. [Link]

[7] (T-ITS) Joint Task Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes, IEEE Transactions on Intelligent Transportation Systems, 2023. [Link]

[8]  (TVT) Joint Task Offloading and Resource Allocation for Quality-Aware Edge-Assisted Machine Learning Task Inference, IEEE Transactions on Vehicular Technology, 2023. [Link]

[9]   (IOT-J) Joint DNN Partition and Resource Allocation for Task Offloading in Edge-Cloud-Assisted IoT Environments, IEEE Internet of Things Journal, 2023. [Link]

[10]  (TVT) Game-Based Task Offloading and Resource Allocation for Vehicular Edge Computing with Edge-Edge Cooperation, IEEE Transactions on Vehicular Technology, 2023. [Link]

[11]  (TMC) Collaborative Service Placement, Task Scheduling, and Resource Allocation for Task Offloading with Edge-Cloud Cooperation, IEEE Transactions on Mobile Computing, 2022. [Link]

[12]  (TII) DNN Deployment, Task Offloading, and Resource Allocation for Joint Task Inference in IIoT, IEEE Transactions on Industrial Informatics, 2022. [Link]

[13] (IOT-J) Joint Task Offloading and Resource Allocation for Accuracy-Aware Machine-Learning-Based IIoT Applications, IEEE Internet of Things Journal, 2022. [Link]

[14]  (TWC) Joint Task Offloading and Service Caching for Multi-Access Edge Computing in WiFi-Cellular Heterogeneous Networks, IEEE Transactions on Wireless Communications, 2022. [Link]

[15]  (TVT) Joint Task Offloading and Resource Allocation for Multi-Access Edge Computing Assisted by Parked and Moving Vehicles, IEEE Transactions on Vehicular Technology, 2022. [Link]

[16]  (TCC) A Truthful Combinatorial Auction Mechanism towards Mobile Edge Computing in Industrial Internet of Things, IEEE Transactions on Cloud Computing, 2022. [Link]

[17] (TVT) Joint DNN Partition and Resource Allocation Optimization for Energy-Constrained Hierarchical Edge-Cloud Systems, IEEE Transactions on Vehicular Technology, 2022. [Link]

[18] (IOT-J) Game-based Multitype Task Offloading among Mobile-Edge-Computing-Enabled Base Stations, IEEE Internet of Things Journal, 2021. [Link]












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