屈毓锛，现任南京航空航天大学电子信息工程学院特聘副研究员。曾入选国家博士后创新人才支持计划。曾获2021年度ACM China新星奖（上海）。目前主要从事移动边缘计算、边缘人工智能、无人机协同智能及其应用等方面的研究。以第一作者或通信作者身份在IEEE JSAC/TMC/INFOCOM/TNSE/TVT/IOT-J/Network、IEEE/ACM ToN、计算机学报、通信学报等网络通信领域知名期刊和会议发表或录用论文30余篇。担任信息通信领域高质量中文EI检索期刊《电子与信息学报》首届青年编委，IEEE/ACM IWQoS、IEEE ICC/ICPADS/ICCCN等知名国际学术会议程序委员会委员，以及IEEE JSAC/TMC/TWC/TCOM/Network、计算机学报等国内外重要学术期刊审稿人。研究成果曾获国际学术会议GPC 2020、IEEE SAGC 2021最佳论文奖，中国电子学会物联网专委会2020-2021年度十佳优秀论文奖。作为项目负责人主持国家自然科学基金面上项目、青年科学基金项目，国家博士后创新人才支持计划，上海市杨浦区博士后创新实践基地科研项目，工信部重点实验室开放基金课题等5项。申请/授权国家和国防发明专利10余项。
教育和主要研究经历：
2005.09-2009.06，南京大学，数学与应用数学，学士
2009.09-2012.06，解放军理工大学，通信与信息系统，硕士，导师：王海 教授
2012.09-2016.06，解放军理工大学，计算机科学与技术，博士，导师：田畅 教授
2015.10-2016.01，日本会津大学，计算机科学与工程学院，访问学生，合作导师：Prof. Song Guo（加拿大工程院院士、IEEE Fellow）
2019.06-2022.06，上海交通大学，计算机科学与工程系，博士后，合作导师：陈贵海 教授（国家杰青）
研究兴趣：
移动边缘计算，边缘人工智能，无人机协同智能及其应用
科研项目：
(1) 国家人力资源和社会保障部，博士后创新人才支持计划，BX20190202，2019.06-2021.06，已结题，主持
(2) 国家自然科学基金委员会，面上基金项目，62072303，基于训练参数与网络资源联合优化的高效边缘智能计算机制，2021.01-2024.12，在研，主持
(3) 国家自然科学基金委员会，青年科学基金项目，61702525，基于D2D通信的移动流量卸载性能优化研究，2018.01-2020.12，已结题，主持
(4) 上海市杨浦区人力资源和社会保障局，杨浦区博士后创新实践基地科研项目，多链路聚合传输技术，2021.07-2022.06，在研，主持
(5) 电磁频谱空间认知动态系统工信部重点实验室，开放基金课题，KF20202105，高效的边缘智能计算理论与方法研究，2020.01-2021.12，已结题，主持
奖励：
(1) ACM China新星奖（上海），2021.11，排名1/1
(2) Efficient Edge Intelligence under Clustering for UAV Swarm Networks，2021 IEEE International Conference on Space-Air-Ground Computing（SAGC），Best Paper Award，2021.10，排名1/6
(3) Service Provisioning for UAV-Enabled Mobile Edge Computing，2020-2021中国电子学会物联网专家委员会年度十佳优秀学术论文，2021.10，排名1/7
(4) Towards Fine-Grained Indoor White Space Sensing，The 15th International Conference on Green，Pervasive and Cloud Computing（GPC 2020），Best Paper Award，2020.10，排名4/8
代表性论文（标*为通信作者）：
第一作者论文：
[1] Yuben Qu, Haipeng Dai, Haichao Wang, Chao Dong*, Fan Wu, Song Guo, Qihui Wu, “Service provisioning for UAV-enabled mobile edge computing,” IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 11, pp. 3287-3305, 2021. (2020-2021中国电子学会物联网专委会年度十佳优秀学术论文)
[2] Yuben Qu, Lihao Wang, Haipeng Dai*, Weijun Wang, Chao Dong, Fan Wu, Song Guo, “Server placement for edge computing: A robust submodular maximization approach”, IEEE Transactions on Mobile Computing (TMC), early access, DOI: 10.1109/TMC.2021.3136868, 2021.
[3] Yuben Qu, Haipeng Dai, Fan Wu, Dongyu Lu, Chao Dong*, Shaojie Tang, Guihai Chen, “Robust offloading scheduling for mobile edge computing,” IEEE Transactions on Mobile Computing (TMC), early access, DOI: 10.1109/TMC.2020.3043000, 2020.
[4] Yuben Qu, Shaojie Tang, Chao Dong*, Peng Li, Song Guo, Haipeng Dai, Fan Wu, “Posted pricing for chance constrained robust crowdsensing,” IEEE Transactions on Mobile Computing (TMC), vol. 19, no. 1, pp. 188-199, 2020.
[5] Yuben Qu, Chao Dong, Haipeng Dai, Fan Wu, Shaojie Tang, Hai Wang, Chang Tian*, “Multicast in multihop crns under uncertain spectrum availability: A network coding approach,” IEEE/ACM Transactions on Networking (TNET), vol. 25, no. 4, pp. 2026-2039, 2017.
[6] Yuben Qu, Chao Dong, Haipeng Dai, Fan Wu, Shaojie Tang, Hai Wang, Chang Tian, “Network coding-based multicast in multi-hop crns under uncertain spectrum availability,” Proc. IEEE INFOCOM, pp. 783-791, 2015.
[7] Yuben Qu, Chao Dong*, Haipeng Dai, Zhenhua Wei, Qihui Wu, “Maximizing d2d-based offloading efficiency with throughput guarantee and buffer constraint,” IEEE Transactions on Vehicular Technology (TVT), vol. 68, no. 1, pp. 832-842, 2019.
[8] Yuben Qu, Chao Dong*, Song Guo, Shaojie Tang, Hai Wang, Chang Tian, “Spectrum-aware network coded multicast in mobile cognitive radio ad hoc networks,” IEEE Transactions on Vehicular Technology (TVT), vol. 66, no. 6, pp. 5340-5350, 2017.
[9] Yuben Qu, Dongyu Lu, Haipeng Dai, Haisheng Tan, Shaojie Tang, Fan Wu, Chao Dong*, “Resilient service provisioning for edge computing,” IEEE Internet of Things Journal (IOT-J), early access, DOI: 10.1109/JIOT.2021.3078620, 2021.
[10] Yuben Qu, Chao Dong*, Jianchao Zheng, Haipeng Dai, Fan Wu, Song Guo, Alagan Anpalagan, “Empowering edge intelligence by air-ground integrated federated learning,” IEEE Network, vol. 35, no. 5, pp. 34-41, 2021.
[11] Yuben Qu, Haipeng Dai, Yan Zhuang, Jiafa Chen, Chao Dong*, Fan Wu, Song Guo, “Decentralized federated learning for UAV networks: Architecture, challenge, and opportunities,” IEEE Network, vol. 35, no. 6, pp. 156-162, 2021.
[12] Yuben Qu, Chao Dong*, Tao Wu, Yan Zhuang, Haipeng Dai*, Fan Wu, “Efficient edge intelligence under clustering for UAV swarm networks,” Proc. IEEE SAGC, to appear, 2021. (Best Paper Award)
[13] 屈毓锛，秦蓁*，马靖豪，戴海鹏，董超，王海，吴帆，陈贵海，面向空地协同移动边缘计算的服务布置策略，计算机学报，录用待发表，2022.
[14] Yuben Qu, Haipeng Dai*, Lihao Wang, Weijun Wang, Fan Wu, Haisheng Tan, Shaojie Tang, Chao Dong, “CoTask: Correlation-aware task offloading in edge computing,” World Wide Web (WWWJ), accepted to appear, 2022.
[15] Yuben Qu, Chao Dong*, Shaojie Tang, Chen Chen, Haipeng Dai, Hai Wang, Chang Tian, “Opportunistic network coding for secondary users in cognitive radio networks,” Ad Hoc Networks, vol. 56, pp. 186-201, 2017.
[16] Yuben Qu, Chao Dong, Shaojie Tang, Chen Chen, Hai Wang, Chang Tian, “Towards near optimal network coding for secondary users in cognitive radio networks,” Proc. IEEE SECON, pp. 522-530, 2014.
[17] 屈毓锛，陈晨，董超，王海，基于Markov状态转移方法的网络编码时延分析，通信学报，vol. 34, no. 9, pp. 77-83, 2013.
通信作者论文：
[18] Chao Dong, Yun Shen, Yuben Qu*, Kun Wang, Jianchao Zheng, Qihui Wu, Fan Wu, “UAVs as an intelligent service: Boosting edge intelligence for air-ground integrated networks,” IEEE Network, vol. 35, no. 4, pp. 167-175, 2021.
[19] Zhen Qin, Hai Wang*, Zhenhua Wei, Yuben Qu*, Fei Xiong, Haipeng Dai, Tao Wu, “Task selection and scheduling in UAV-enabled MEC for reconnaissance with time-varying priorities,” IEEE Internet of Things Journal (IOT-J), vol. 8, no. 24, pp. 17290-17307, 2021.
[20] Chaocan Xiang*, Zhao Zhang, Yuben Qu*, Dongyu Lu, Xiaochen Fan, Panlong Yang, Fan Wu, “Edge computing-empowered large-scale traffic data recovery leveraging low-rank theory,” IEEE Transactions on Network Science and Engineering (TNSE), vol. 7, no. 4, pp. 2205-2218, 2020.
[21] Dongyu Lu, Yuben Qu*, Fan Wu, Haipeng Dai, Chao Dong, Guihai Chen, “Robust server placement for edge computing,” Proc. IEEE IPDPS, pp. 285-294, 2020.
[22] Chao Dong, Yuben Qu*, Haipeng Dai, Song Guo, Qihui Wu, “Multicast in multi-channel cognitive radio ad hoc networks: Challenges and research aspects,” Computer Communications, vol. 132, pp. 10-16, 2018.
[23] Wenjing You, Qihui Wu, Chao Dong, Yuben Qu*, Yulei Wu, Rong He, “Joint task scheduling, resource allocation, and UAV trajectory under clustering for FANETs,” China Communications, accepted to appear, 2021.
[24] Yunlong Xiang, Zhenzhe Zheng, Yuben Qu*, Guihai Chen, “Scaling DCN models for indoor white space exploration,” Proc. WASA, pp. 525-537, 2021.
[25] Tao Wu, Xiaochen Fan, Yuben Qu*, Panlong Yang*, “MobiEdge: Mobile service provisioning for edge clouds with time-varying service demands,” Proc. IEEE ICPADS, accepted to appear, 2021.
[26] Zeyu Cai, Yuben Qu*, Chao Dong*, “Edge intelligence-based UAV human target recognition with improved YOLOV5 Algorithm,” Proc. IEEE HPCC, accepted to appear, 2021.
[27] 颜学文，董超，屈毓锛*，基于D2D通信的流量卸载技术综述，计算机科学，vol. 45, no. 11, pp. 45-51，2018.
其他论文：
[28] Yun Shen, Yuben Qu, Chao Dong*, Fuhui Zhou, Qihui Wu, “Joint training and resource allocation optimization for federated learning in UAV swarm,” IEEE Internet of Things Journal (IOT-J), early access, DOI: 10.1109/JIOT.2022.3152829, 2022.
[29] Fan Wu, Yunlong Xiang, Zhenzhe Zheng, Yuben Qu, Xiaofeng Gao, Linghe Kong, Guihai Chen, Biao Liu, “Towards fine-grained indoor white space sensing,” Proc. GPC, pp. 45-60, 2020. (Best Paper Award)
[30] Chaocan Xiang, Suining He, Kang G. Shin, Yuben Qu, Panlong Yang, “Incentivizing platform-user interactions for crowdsensing,” IEEE Internet of Things Journal (IOT-J), vol. 8, no. 10, pp. 8314-8327, 2021.
[31] Chaocan Xiang, Yanlin Zhou, Haipeng Dai, Yuben Qu, Suining He, Chao Chen, Panlong Yang, “Reusing delivery drones for urban crowdsensing,” IEEE Transactions on Mobile Computing (TMC), early access, DOI: 10.1109/TMC.2021.3127212, 2021.
[32] Chaocan Xiang, Yaoyu Li, Yanlin Zhou, Suining He, Yuben Qu, Zhenhua Li, Liangyi Gong, Chao Chen, “A comparative approach to resurrecting the market of MOD vehicular crowdsensing,” Proc. INFOCOM, accepted to appear, 2022.
学术服务与任职：
(1) 编委：2021.05-至今，电子与信息学报，青年编委（首届）；2021，Sensors（IF：3.576），物联网专刊客座编辑
(2) 组委会：2021，IEEE SAGC，Publicity chair；2020，IEEE WCSP，Session chair
(3) 程序委员会：IEEE/ACM IWQoS（2021），IEEE ICPADS（2021），IEEE ICC（2019，2020，2021，2022），IEEE ICCCN（2020，2021），IEEE SAGC（2021），IEEE/CIC ICCC（2019），IEEE WCSP（2015，2020）
(4) 期刊审稿人：IEEE JSAC，IEEE TMC，IEEE TWC， IEEE TCOM， IEEE TVT，IEEE TNSE，IEEE TCCN，IEEE Network，IEEE OJCS，Computer Communications，Pervasive and Mobile Computing，Ad Hoc Networks，China Communications，EURASIP Journal on Advances in Signal Processing，计算机学报，计算机科学，电子与信息学报等
专利：
(1) 屈毓锛等，移动边缘计算中的优化任务调度方法，国家发明专利，已授权，ZL202011162207.0
(2) 屈毓锛等，移动边缘计算中的优化服务部署方法，国家发明专利，已申请，申请号：202110526178.X
(3) 屈毓锛等，边缘服务器优化部署方法，国家发明专利，已申请，申请号：202010667440.8
(4) 屈毓锛等，移动边缘计算中基于相关性的优化任务卸载调度方法，国家发明专利，已申请，申请号：202110526175.6
(5) 董超，屈毓锛等，一种适用于随机线性网络编码的端到端自由度反馈方法，国家发明专利，已授权，ZL201210516856.5
(6) 董超，屈毓锛等，一种适用于战场实时通信网络的网络编码传输方法，国防发明专利，已授权，ZL201518001793.4
(7) 魏振华，屈毓锛等，分布式智能干扰系统用的定位置式干扰资源调度优化方法，国家发明专利，已授权，ZL201810237560.7
(8) 魏振华，屈毓锛等，分布式智能干扰系统用的定功率式干扰资源调度优化方法，国家发明专利，已授权，ZL201810237559.4
(9) 董超，经宇骞，屈毓锛等，面向空地一体联邦学习的无人机位置与资源联合优化方法，国家发明专利，已申请，申请号：202110895850.2
(10) 董超，沈赟，屈毓锛等，一种面向无人机集群联邦学习的学习与资源联合优化方法，国家发明专利，已授权，ZL202110951816.2
(11) 董超，屈毓锛等，一种无人机自组网分布式联邦学习方法与系统，国家发明专利，已申请，申请号：202111251156.3
(12) 董超，游文静，经宇骞，刘青昕，屈毓锛等，一种无人机轨迹、用户管理和资源分配联合优化方法，国家发明专利，申请号：202110252974.9
(13) 向朝参，周彦霖，杨朝山，陈瑞，屈毓锛，一种复用运输无人机的城市感知运输协同调度方法，国家发明专利，已授权，ZL202110321671.8