Qiu Chao | 仇超

  仇超，天津大学智能与计算学部，英才副教授，博导，ACM天津新星，全球前2%科学家。

  近年来研究分布式机器学习、边缘计算、云计算网络系统中的难点问题，包括资源编排优化、联邦学习、分布式强化学习等问题。在国际期刊/会议上发表论文50余篇，包括IEEE INFOCOM、IEEE JSAC、IEEE TSC、IEEE TMC、IEEE COMST等，谷歌引用1949（https://scholar.google.com/citations?user=0aG-VWIAAAAJ&hl=zh-CN），H指数22，H10指数37。

  主持国家自然科学基金（面上）、天津市自然科学基金面上项目、天津市重点研发计划科技支撑重点项目等；参与国家自然科学基金面上项目、国家重点研发计划、国自然重点等项目。

  荣获2024年度天津市科技进步奖一等奖、CCF科技成果奖、天津高校第十七届青年教师教学竞赛工科组二等奖、中国发明协会发明创业奖二等奖、全国高校计算机网络教学案例大赛二等奖等，作为指导教师带领学生分别获得2023年第九届中国国际“互联网+”大学生创新创业大赛省级金奖、2023年第九届中国国际“互联网+”大学生创新创业大赛国际赛道金奖和2023年第九届中国国际“互联网+”大学生创新创业大赛省级银奖。

Email

chao.qiu@tju.edu.cn

移动电话

+86-15210594043

通讯地址

天津市津南区海河教育园 天津大学北洋园校区 55号楼 B329室

学业生涯

2009.9-2013.6 中国农业大学 信息与电气工程学院 获本科学位
2013.9-2019.9 北京邮电大学 信息与通信工程学院（导师：赵成林，联合培养导师：姚海鹏）获博士学位
2017.10-2018.10 加拿大卡尔顿大学 信息技术学院（联合培养导师：于非（F. Richard Yu））国家公派访问学者

工作履历

2020.1-今 天津大学 智能与计算学部 边缘计算与算力网络课题组（负责人：王晓飞）

研究方向

资源管理；边缘计算；调度；算力网络；联邦学习

主讲课程

《计算机网络》、《大数据分析理论与方法》

 PUBLICATIONS

  1. Kang Huang, Chao Qiu*, Chenxuan Hou, Xiuhua Li, Xiaofei Wang, ''HyperJet: Joint Communication and Computation Scheduling for Hypergraph Tasks in Distributed Edge Computing'', in IEEE INFOCOM, 2025. (CCF-A 类会议)
  2. Xiaoxu Ren, Chao Qiu*, Zheyuan Chen, Xiaofei Wang, Dusit Niyato, Wenyu Wang, ''CompCube: A Space-Time-Request Resource Trading Framework for Edge-Cloud Service Market,'' in IEEE TSC, 2023. (CCF-A 类期刊)
  3. Xiaoxu Ren, Hongyang Du, Chao Qiu*, Tao Luo, Zejun Liu, Xiaofei Wang, Dusit Niyato, ''Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse'', in IEEE TMC 2024. (CCF-A 类期刊)
  4. Xiaoxu Ren, Minrui Xu, Dusit Niyato, Jiawen Kang, Chao Qiu*, Xiaofei Wang, Victor C. M. Leung, ''Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services'', in IEEE TSC, 2024. (CCF-A 类期刊)
  5. Chao Qiu, Gagangeet Singh Aujla, Jing Jiang, Wu Wen, Peiying Zhang, “Rendering Secure and Trustworthy Edge Intelligence in 5G-Enabled IIoT Using Proof of Learning Consensus Protocol,” IEEE TII, 2023. (中科院 1 区期刊)
  6. Yifan Cao, Xiaoxu Ren, Chao Qiu*, Xiaofei Wang, ''Hierarchical Reinforcement Learning for Blockchain-assisted Software Defined Industrial Energy Market'', in IEEE TII, 2022. (中科院一区期刊)
  7. Chao Qiu, Haipeng Yao, F. Richard Yu, Chunxiao Jiang, Song Guo, “A Service-Oriented Permissioned Blockchain for the Internet of Things,” IEEE TSC 2020. (CCF-A 类期刊)
  8. Xiaofei Wang, Yunfeng Zhao, Chao Qiu*, Fei Gao, Zebo Zhao, Haipeng Yao, Xiuhua Li, ''Energy-Friendly Federated Neural Architecture Search for Industrial Cyber-Physical Systems'', in IEEE JSAC, minor revision. (CCF-A 类期刊)
  9. Yunfeng Zhao, Chao Qiu*, Xiaoyun Shi, Xiaofei Wang, Dusit Niyato, Victor C.M. Leung, ''Cur-CoEdge: Curiosity-Driven Collaborative Request Scheduling in Edge-Cloud Systems'', in IEEE INFOCOM, 2024. (CCF-A 类会议)
  10. Yunfeng Zhao, Ziwei Wang, Chao Qiu*, Qiang He, Dusit Niyato, Xin Wang, Xiaofei Wang , Qinghua Hu, ''A Socialized Learning-Based Scheduling Framework in Intricate Edge Clouds'', in IEEE TSC, 2024. (CCF-A 类期刊)
  11. Fei Gao, Yunfeng Zhao, Chao Qiu*, Xiaofei Wang, Haipeng Yao, Qinghua Hu, ''CP²GFed: Cross-granular and Personalized Prompt-based Green Federated Tuning for Giant Models'', in IEEE IWQoS, 2024. (CCF-B 类会议)
  12. Ziwei Wang, Yunfeng Zhao, Chao Qiu*, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu, ''SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems'', in IEEE ICDCS, 2023. (CCF-B 类会议)
  13. Chao Qiu, Zheyuan Chen, Xiaoxu Ren, Ziming Dai, Cheng Zhang*, Xiaofei Wang, ''AImers-6G: AI-Driven Region-Temporal Resource Provisioning for 6G Immersive Services'', in IEEE Wireless Communications Magazine, 2023. (中科院一区期刊)
  14. Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu*, Xiaofei Wang, Qinghua Hu, ''Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems'', in IEEE ICDCS, 2022. (CCF-B 类会议)
  15. Chao Qiu, Haotian Qi, Zhicheng Liu, Xiaofei Wang*, Jingjiang, Qinghua Hu, ''Credible Internet of Intelligence Towards Future Multi-Dimensional Connection'', in IEEE Network, 2022. (中科院 1 区期刊)
  16. Xiaofei Wang, Xiaoxu Ren, Chao Qiu*, Yifan Cao, Tarik Taleb, Victor C.M. Leung, ''Net-in-AI: A Computing-Power Networking Framework with Adaptability, Flexibility and Profitability for Ubiquitous AI'', in IEEE Network, 2021. (中科院 1 区期刊)
  17. Chao Qiu, Haipeng Yao, Xiaofei Wang, Ni Zhang, F. Richard Yu, Dusit Niyato, ''AI-Chain: Blockchain Energized Edge Intelligence for Beyond 5G Networks'', in IEEE Network, 2020. (中科院 1 区期刊)
  18. Xiaoxu Ren, Qixin Li, Hongyang Du, Haipeng Yao, Chao Qiu, Dusit Niyato, ''Tri-Ring: Asynchronous Service Provisioning with Online Learning in Edge Cloud Networks'', in IEEE INFOCOM 2025. (CCF-A 类会议)
  19. Yunfeng Zhao, Chao Qiu*, Shangxuan Cai, Zhicheng Liu, Yu Wang, Xiaofei Wang, Qinghua Hu, ''Multi-granularity Weighted Federated Learning for Heterogeneous Edge Computing'', in IEEE TSC, 2024. (CCF-A 类期刊)
  20. Xiaofei Wang, Yunfeng Zhao, Chao Qiu*, Qinghua Hu, Victor C. M. Leung, ''Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems'', in IEEE Communications Surveys and Tutorials, 2024. (中科院 1 区期刊，影响因子：34.3)
  21. Xiaofei Wang, Yunfeng Zhao, Chao Qiu*, Jiangtian Nie, Victor C. M. Leung, ''InFEDge: A Blockchain-based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications'', in IEEE JSAC, 2022. (CCF-A类期刊)
  22. Xiaofei Wang, Xiaoxu Ren, Chao Qiu*, Zehui Xiong, Haipeng Yao, Victor C. M. Leung, ''Integrating Edge Intelligence and Blockchain: What, Why, and How'', IEEE Communications Surveys and Tutorials, 2022. (中科院 1 区期刊)
  23. Chao Qiu, Haipeng Yao, Chunxiao Jiang, Song Guo, Fangmin Xu, ''Cloud Computing Assisted Blockchain-Enabled Internet of Things'', in IEEE TCC 2022. (高被引论文)
  24. Chao Qiu, Xiaofei Wang, Haipeng Yao*, Jianbo Du, F. Richard Yu, Song Guo, ''Networking integrated cloud–edge–end in IoT: A blockchain-assisted collective Q-learning approach'', IEEE Internet of Things Journal, 2020. (高被引论文)
  25. Chao Qiu, F. Richard Yu, Haipeng Yao*, Chunxiao Jiang, Fangmin Xu, Chenglin Zhao, ''Blockchain-Based Software-Defined Industrial Internet of Things: A Dueling Deep Q -Learning Approach'', IEEE Internet of Things Journal, 2019. (中科院 1 区期刊)

 PROJECTS

  1. 算力资源边缘智能管理机制研究, 国家自然科学基金（青年）项目, 2021.1-2023.12, 主持
  2. 面向端边云协同的弹性计算与智能分析技术开发, 天津市重点研发计划科技支撑重点项目, 2020.10-2022.9, 主持
  3. 输电线路缺陷感知边缘智能关键技术及应用研究, 国网江苏省电力有限公司南京供电分公司, 2023.4-2024.12, 主持
  4. 面向大模型服务的分布式边缘算力系统平台技术与智能调度算法研究, 派欧云计算（上海）有限公司, 2024.1-2024.12, 主持
  5. 领域知识认知增强的大模型智能体技术研发与应用（子项目四），中国移动通信集团天津有限公司, 2024.6-2024.12, 主持
  6. 通信基础设施智慧化运维理论研究与平台开发, 人工智能与数字经济广东省实验室, 2022.05-2024.05, 主持
  7. 基于边缘智能的算网资源联合优化分配机理, 中国博后科学基金（面上）, 2020.7-2022.7, 主持
  8. 端边云分级智能算法与资源调度研究, 国家重点研发计划, 科技部, 2019.12-2022.12, 参与
  9. 云边端网络协同的深度强化学习在线决策优化研究, 国家基金面上项目, 国家自然科学基金委员会, 2021.1-2024.12, 参与

AWARDS

  1. 面向语义智能的算网协同大数据技术与应用, 天津市科技进步奖, 一等奖, 排序4/12, 2025.1
  2. 全球前2%科学家, 2024.8
  3. ACM中国理事会（天津分会）新星奖, 2024.7
  4. 广域分布式算力网络技术和规模化应用, CCF科技成果奖, 三等奖, 排序3/6, 2024.10
  5. 天津高校第十七届青年教师教学竞赛, 天津市工科组, 二等奖, 2024.4
  6. 算网资源智能调度关键技术研究与应用, 中国发明协会, 发明二等奖, 排序2/6, 2024

PATENTS

  1. 算网融合网络模型系统, ZL202010390773.0, 仇超、任晓旭、曹一凡、王晓飞, 2022.3, 授权
  2. 基于区块链的边缘节点训练方法、区块链及存储介质, ZL202010034920.0, 王晓飞、仇超、姚海鹏, 2022.3, 授权
  3. 一种面向智慧城市的社会化学习方法, ZL202111425250.6, 王晓飞、赵云凤、刘志成、仇超、胡清华, 2022.9, 授权
  4. 算力交易处理方法、装置、区块链的节点及存储介质, ZL202011219516.7, 仇超、任晓旭、曹一凡、王晓飞, 2022.7, 授权
  5. 一种基于超图分区的算力网络任务卸载的方法, ZL 202410074605.9, 王晓飞,黄康,仇超,侯晨璇, 2024.1, 授权