于帅

教师简介: 

2018年获得法国索邦大学（即巴黎第六大学，2021 US News世界大学排名43）博士学位，2014年获得北京邮电大学电子科学与技术专业工学硕士学位，2009年获得南京邮电大学电子科学与技术专业（双一流学科）工学学士学位。2018年加入jbo竞博电竞官方网站，并获“珠江人才计划”海外引进博士后项目资助，先后担任博士后研究员（合作导师：陈旭 教授）、特聘副研究员、副教授。近年来的主要研究方向为新型网络、移动计算及人工智能，包括边缘计算及智能、天基（卫星）智能、计算卸载、资源分配等。发表高水平学术论文 30 余篇，包括 IEEE TMC, JSAC, INFOCOM, TWC等顶级期刊和会议，论文总引用次数逾2000次。

课题组长期招收博士研究生、硕士研究生。欢迎优秀本科生加入实验室，表现优秀者可以推荐深造。

欢迎推免/考研学生联系本人咨询实验室的招生名额和相关事宜！

教育背景: 

2014.09 - 2018.05，法国索邦大学（巴黎第六大学），计算机、电信与电子专业，博士

2011.09 - 2014.04，北京邮电大学，电子科学与技术专业，工学硕士

2005.09 - 2009.06，南京邮电大学，电子科学与技术专业（“双一流”专业），本科

工作经历: 

2022.05 - 至今，jbo竞博电竞官方网站，jbo竞博电竞官方网站，副教授

2020.11 - 2022.04，jbo竞博电竞官方网站，jbo竞博电竞官方网站，特聘副研究员

2018.09 - 2020.10，jbo竞博电竞官方网站，jbo竞博电竞官方网站，博士后

获奖及荣誉: 

2022年 IEEE IoTJ 年度最佳论文亚军奖（Best Paper Runner-Up Award）

2014年国家留学基金委（CSC）公派奖学金

科研项目: 

主持项目：

1. 国家自然科学基金青年项目，5G超密集边缘计算中的智能计算卸载机制研究，（主持人），2020/1/1-2023/12/31

2. 广东省自然科学基金面上项目，5G多接入边缘计算中隐私保护的智能计算卸载技术研究，（主持人），2019/10/1-2022/09/30

3. 广东省重点实验室开放基金，天基边缘计算中多星协同的智能任务处理技术研究，（主持人），2021/08/01-2023/07/31

4. 粤深联合基金项目，高时效空天地海一体化信息网络及关键技术，（子课题负责人​），2022/10/01-2025/09/31

参与项目：

1. 国家自然科学基金面上项目，面向移动大数据应用的多层次融合高效边缘计算研究，2020/1/1-2023/12/31， 项目参与人

2. 国家自然科学基金联合基金项目，面向智能服务的移动边缘智能网络及高效感知-接入-处理机制研究，2021/1/1-2024/12/31， 项目参与人

主要学术兼职: 

中国通信学会，高级会员；

中国计算机学会，分布式计算与系统专委会，执行委员；

中国计算机学会，普适计算专委会，执行委员；

IEEE TWC、TMC、JSAC、TPDS、IoTJ等多个CCF A类及中科院一区期刊审稿人；

MobiSPC-2019、ICA3PP 2021、NPC2024等知名国际学术会议的程序委员会委员（PC member）

教授课程: 

数字电路与逻辑设计

边缘计算

研究生英语

代表性论著: 

边缘计算及智能：

[TMC] S. Yu, X. Chen, S. Wang, L. Pu and D. Wu, "An Edge Computing-Based Photo Crowdsourcing Framework for Real-Time 3D Reconstruction," in IEEE Transactions on Mobile Computing, vol. 21, no. 2, pp. 421-432, 1 Feb. 2022.（CCF-A、中科院大类二区）

[TVT] S. Yu, R. Langar, X. Fu, L. Wang and Z. Han, "Computation Offloading With Data Caching Enhancement for Mobile Edge Computing," in IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 11098-11112, Nov. 2018.（中科院大类二区）

[JSAC] L. Zeng, C. Yang, P. Huang, Z. Zhou, S. Yu and X. Chen, "GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 3, pp. 720-739, March 2023.（CCF-A、中科院大类一区）

[TMC] K. He, X. Chen, Q. Wu, S. Yu and Z. Zhou, "Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction," in IEEE Transactions on Mobile Computing, vol. 21, no. 4, pp. 1244-1256, 1 April 2022.（CCF-A、中科院大类二区）

[TMC] K. Zhao, Z. Zhou, X. Chen, R. Zhou, X. Zhang, S. Yu, D. Wu, "EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale," in IEEE Transactions on Mobile Computing, vol. 22, no. 10, pp. 5870-5886, 1 Oct. 2023.（CCF-A、中科院大类二区）

[ToN] Q. Wu, K. He, X. Chen, S. Yu and J. Zhang, "Deep Transfer Learning Across Cities for Mobile Traffic Prediction," in IEEE/ACM Transactions on Networking, vol. 30, no. 3, pp. 1255-1267, June 2022.（CCF-A）

[IoTJ] Z. Zhou, S. Yang, L. Pu and S. Yu, "CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes," in IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9341-9356, Oct. 2020.（中科院大类一区）

[IoTJ] Z. Zhou, S. Yu, W. Chen and X. Chen, "CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications," in IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8600-8614, Sept. 2020.（中科院大类一区）

[IoTJ] P. Huang, L. Zeng, X. Chen, K. Luo, Z. Zhou and S. Yu, "Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping," in IEEE Internet of Things Journal, vol. 9, no. 15, pp. 14087-14102, 1 Aug.1, 2022.（中科院大类一区）

[TITS] S. Zhang, S. Wang, S. Yu, J. J. Q. Yu and M. Wen, "Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 9640-9653, July 2022.（CCF-B、中科院大类一区）

[TNSE] X. Ling, J. Gong, R. Li, S. Yu, Q. Ma and X. Chen, "Dynamic Age Minimization With Real-Time Information Preprocessing for Edge-Assisted IoT Devices With Energy Harvesting," in IEEE Transactions on Network Science and Engineering, vol. 8, no. 3, pp. 2288-2300, 1 July-Sept. 2021.（中科院大类二区）

[JSA] P. Wang, T. Ouyang, G. Liao, J. Gong, S. Yu and X. Chen, "Edge intelligence in motion: Mobility-aware dynamic DNN inference service migration with downtime in mobile edge computing" in Journal of Systems Architecture, 2022.（中科院大类二区）

[GLOBECOM] K. He, Y. Huang, X. Chen, Z. Zhou and S. Yu, "Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction," 2019 IEEE Global Communications Conference (GLOBECOM), 2019.（CCF-C）

[ICCC] W. Fan, K. Luo, S. Yu, Z. Zhou and X. Chen, "AoI-driven Fresh Situation Awareness by UAV Swarm: Collaborative DRL-based Energy-Efficient Trajectory Control and Data Processing," 2020 IEEE/CIC International Conference on Communications in China (ICCC), 2020.

[TrustCom/BigDataSE] Y. Huang, Y. Weng, S. Yu and X. Chen, "Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting," 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019.

范文, 韦茜, 周知, 于帅, 陈旭*. 数据新鲜度驱动的协作式无人机联邦学习智能决策优化研究[J]. 电子与信息学报，2022.

天基（卫星）智能：

[IoTJ] S. Yu, X. Gong, Q. Shi, X. Wang and X. Chen, "EC-SAGINs: Edge-Computing-Enhanced Space–Air–Ground-Integrated Networks for Internet of Vehicles," in IEEE Internet of Things Journal, vol. 9, no. 8, pp. 5742-5754, 15 April, 2022.（ESI高被引、中科院大类一区）

[INFOCOM] Z. Zhai, L. Zeng, T. Ouyang, S. Yu, Q. Huang and X. Chen, "SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions," IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, 2024.（CCF-A）

[TMC] Z. Zhai, Q. Wu, S. Yu, R. Li, F. Zhang and X. Chen, "FedLEO: An Offloading-Assisted Decentralized Federated Learning Framework for Low Earth Orbit Satellite Networks," in IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 5260-5279, May 2024.（CCF-A、中科院大类二区）

[TWC] Q. Fang, Z. Zhai, S. Yu, Q. Wu, X. Gong and X. Chen, "Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network," in IEEE Transactions on Wireless Communications, vol. 22, no. 7, pp. 4534-4551, July 2023.（CCF-B、中科院大类一区）

[SAGC] Q. Fang, S. Yu and X. Chen, "Olive Branch Learning: A Novel Federated Learning Framework for Space-Air-Ground Integrated Network," 2021 International Conference on Space-Air-Ground Computing (SAGC), 2021, pp. 44-50.

[ICCC] Z. Zhai, S. Yu, F. Zhang and X. Chen, "An On-orbit Computation Offloading Framework for Satellite Edge Computing," 2022 IEEE/CIC International Conference on Communications in China (ICCC), Sanshui, Foshan, China, 2022, pp. 1062-1067.

张飞,陈小前,于帅,季明江,刘勇,曹璐.基于天基边缘计算的在轨智能技术[J].上海航天(中英文),2021,38(04):19-24.

计算卸载：

[TMC] S. Yu, B. Dab, Z. Movahedi, R. Langar and L. Wang, "A Socially-Aware Hybrid Computation Offloading Framework for Multi-Access Edge Computing," in IEEE Transactions on Mobile Computing, vol. 19, no. 6, pp. 1247-1259, 1 June 2020.（CCF-A、中科院大类二区）

[WCM] S. Yu, X. Chen, L. Yang, D. Wu, M. Bennis and J. Zhang, "Intelligent Edge: Leveraging Deep Imitation Learning for Mobile Edge Computation Offloading," in IEEE Wireless Communications, vol. 27, no. 1, pp. 92-99, February 2020.（中科院大类一区）

[PIMRC] S. Yu, X. Wang and R. Langar, "Computation offloading for mobile edge computing: A deep learning approach," 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017, pp. 1-6.

[ICC] S. Yu, R. Langar, W. Li and X. Chen, "Coalition-based energy efficient offloading strategy for immersive collaborative applications in Femto-Cloud," 2016 IEEE International Conference on Communications (ICC), 2016.（CCF-C）

[GLOBECOM] S. Yu, R. Langar and X. Wang, "A D2D-Multicast Based Computation Offloading Framework for Interactive Applications," 2016 IEEE Global Communications Conference (GLOBECOM), 2016.（CCF-C）

[IM] S. Yu and R. Langar, "Collaborative Computation Offloading for Multi-access Edge Computing," 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2019.（CCF-C）

马惠荣, 陈旭*, 周知, 于帅. 绿色能源驱动的移动边缘计算动态任务卸载[J]. 计算机研究与发展, 2020, 57(9): 1823-1838.

资源分配：

[IoTJ] S. Yu, X. Chen, Z. Zhou, X. Gong and D. Wu, "When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network," in IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2238-2251, 15 Feb.15, 2021.（2022年度最佳论文奖亚军、ESI高被引、中科院大类一区）

[TWC] S. Luo, X. Chen, Q. Wu, Z. Zhou and S. Yu, "HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning," in IEEE Transactions on Wireless Communications, vol. 19, no. 10, pp. 6535-6548, Oct. 2020. （CCF-B、中科院大类一区）

[TVT] S. Luo, X. Chen, Z. Zhou and S. Yu, "Fog-Enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing," in IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3715-3730, April 2021.（中科院大类二区）

[IoTJ] X. Tang, X. Chen, L. Zeng, S. Yu and L. Chen, "Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence," in IEEE Internet of Things Journal, vol. 8, no. 12, pp. 9511-9522, 15 June15, 2021.（中科院大类一区）