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唐朝刚 (Chaogang Tang)，男，硕导，博士，中国矿业大学计算机学院，本科毕业于南京航空航天大学，博士毕业于中国科学技术大学及香港城市大学。
主要研究方向：
长期聚焦于边缘计算、智慧交通、车联网、数字孪生、元宇宙、网络智能等前沿交叉领域学科方向。主要研究不仅注重理论创新，更强调技术在真实场景中的应用落地，致力于推动智能计算与网络系统的深度融合。
学术成果：
发表学术论文110余篇，其中第一作者或通信作者论文50余篇，Google引用 2200+， H-index 24；出版专著3部，译著1部；主持并参与各类项目10余项。连续四年（2023-2026）上榜全球前2%科学家榜单。
学术服务：
国际会议程序委员 (PC Member)：担任HPCC 2026，IEEE ISPA 2026，IEEE CCGrid 2026，IEEE FINE 2026, IEEE ICPADS2025 (CCF C), ICA3PP 2025 (CCF C), ICCCN2025 (CCF C), ACM CIKM (2026, 2025, CCF B), IEEE GlobeCom （2022,2023, 2024, 2025 CCF C)，IEEE ScalCom （2022，2023, 2024），WISE（2025, 2024，2022, 2021,2020,2019，CCF C），WSDM（2026, 2025,2024,2023,2022,2021 CCF B），IWCMC（2021）, ICDSC2020, Session Chair; DASFAA （2019,2020，CCF B）等知名国际会议的程序委员；
担任多个学术期刊的客座编辑，如IEEE Internet of Things Magazine, 计算机工程，IEEE Transactions on Consumer Electronics，Applied Sciences， Electronics 等；
曾担任徐州道格信息科技有限公司等公司科技副总。
学术荣誉：获得WISE2020, ICEBE2012最佳论文奖。
招生信息：
研究组聚焦于人工智能与边缘计算融合的前沿领域，致力于解决未来网络与智能系统中的关键问题。
欢迎对以下方向有浓厚兴趣、具备踏实肯干精神、有志于深入探索的同学加入：
1.核心方向：边缘计算、智慧交通、车联网、数字孪生、元宇宙、网络智能；
2.前沿技术：大模型应用、深度强化学习、系统推荐、动作识别、多智能体协同；
3.关键问题：任务协同卸载、服务缓存、资源分配、多目标联合优化、联邦学习、边缘智能等。
团队注重学术氛围的营造与科研能力的培养，具有以下优势：
1. 导师亲自指导：坚持与每位研究生保持固定频次的直接交流，确保学生在选题、实验、写作等环节获得细致指导；
2. 理论与实践结合：团队不仅关注前沿理论探索，还提供丰富的实际项目开发机会，帮助学生在真实场景中提升工程能力；
3. 浓厚的科研氛围：鼓励学术创新，支持学生参与国家级科研项目、撰写高水平论文、参加国内外学术会议，拓展国际视野；
4. 多元合作平台：与多家企业、研究机构保持紧密合作，为学生提供实习、就业、联合研究等多维发展机会。
有意者请联系：cgtang@cumt.edu.cn。
代表论文：
近年来在 IEEE TMC、TITS、TSC、TCE、TVT，Network、WCM，IoT Journal、CIKM、DASFAA、ICDCS、ICC、GLOBECOM等中科院一区/CCF 推荐期刊和知名学术会议发表了系列论文，部分论文列表如下：
Chaogang Tang (唐朝刚), Tiyu Yao, Shuo Xiao, Huaming Wu, Ruidong Li: Energy-Aware Usv-Uav Cooperative Task Offloading Optimization in Water Monitoring System. ICDCS 2026: 785-795 (CCF B)
Chaogang Tang (唐朝刚), Shucai Wang, Huaming Wu, Ruidong Li, Caching-Assisted Collaborative Task Offloading for Vehicular Edge Computing: A Deep Reinforcement Learning-Based Approach. IEEE Trans. Mob. Comput. 25(6): 9042-9056, 2026 (CCF A)
Chaogang Tang (唐朝刚), Tiyu Yao, Shuo Xiao, Huaming Wu, Ruidong Li, UAV-USV collaborative task offloading for edge computing enabled smart lake monitoring. J. Syst. Archit. 176: 103830, 2026. (CCF B)
唐朝刚，李召，肖硕*，吴华明，一种面向车载边缘计算基于服务缓存的任务协同卸载算法，计算机学报，2025,48(04):864-876 (中文期刊，CCF A).
Chaogang Tang (唐朝刚), Zhao Li, Huaming Wu, Shuo Xiao, Ruidong Li: Deep Reinforcement Learning-Based Collaborative Computation Offloading for Distributed Vehicular Edge Computing, IEEE Transactions on Intelligent Transportation Systems, 2025 (SCI, CCF B).
Chaogang Tang (唐朝刚), Yao Ding, Shuo Xiao*, Zhenzhen Huang, Huaming Wu: Collaborative Service Caching, Task Offloading, and Resource Allocation in Caching-Assisted Mobile Edge Computing. IEEE Trans. Serv. Comput. 18(4): 1966-1981, 2025 (SCI, CCF A).
Chaogang Tang (唐朝刚), Huaming Wu*, Ruidong Li, Joel J. P. C. Rodrigues, Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing, ACM Transactions on Autonomous and Adaptive Systems, 2025(SCI, CCF B).
Chaogang Tang (唐朝刚), Huaming Wu*, Ruidong Li, Edge-Cloud Cooperative Intelligence for Computation Offloading in Connected Living, IEEE Internet of Things Magazine, 2025.
Chaogang Tang (唐朝刚), Zhao Li, Shuo Xiao*, Huaming Wu, Wei Chen, A bandwidth-fair migration-enabled task offloading for vehicular edge computing: a deep reinforcement learning approach. CCF Transactions on Pervasive Computing and Interaction, 6(3): 255-270, 2024.
Chaogang Tang (唐朝刚), Ge Yan, Huaming Wu*, Chunsheng Zhu, Computation Offloading and Resource Allocation in Failure-Aware Vehicular Edge Computing, IEEE Transactions on Consumer Electronics, 70(1): 1877-1888, 2024 (SCI, 中科院二区).
Chaogang Tang (唐朝刚), Huaming Wu*, Ruidong Li, Chunsheng Zhu, Joel JPC Rodrigues, A Systematic Exploration of Edge Computing-Enabled Metaverse, IEEE Network, 37(6): 10-17, 2023 (SCI, 中科院一区).
Chaogang Tang (唐朝刚), Huaming Wu*, Shuo Xiao, Lightweight Reputation Management for Multi-Role Internet of Vehicles. IEEE Internet Things Magazine, 6(2): 38-42, 2023 (EI).
Chaogang Tang (唐朝刚), Huaming Wu*, Yubin Zhao, Lyapunov-guided Optimal Service Placement in Vehicular Edge Computing, China Communications, 20 (3), 201-217, 2023 (SCI).
Chaogang Tang (唐朝刚), Chunsheng Zhu*, Mohsen Guizani, Coverage Optimization Based on Airborne Fog Computing for Internet of Medical Things, IEEE Systems Journal, 17(3), 4348-4359, 2023 (SCI,中科院二区).
Chaogang Tang (唐朝刚), Wei Chen*, Chunsheng Zhu, Hsiao Hwa Chen, When Cache Meets Vehicular Edge Computing: Architecture, Key Issues and Challenges, IEEE Wireless Communications Magazine, 29(4): 56-62, 2022 (SCI, 中科院一区).
Chaogang Tang (唐朝刚), Chunsheng Zhu*, Huaming Wu, Qing Li, Joel J. P. C. Rodrigues, Towards Response Time Minimization Considering Energy Consumption in Caching Assisted Vehicular Edge Computing，IEEE Internet of Things Journal, 9(7): 5051-5064, 2022 (SCI, 中科院一区).
Chaogang Tang (唐朝刚), Chunsheng Zhu*, Ning Zhang, Mohsen Guizani, Joel J. P. C. Rodrigues, SDN-Assisted Mobile Edge Computing for Collaborative Computation Offloading in Industrial Internet of Things. IEEE Internet of Things Journal, 9(23): 24253-24263, 2022 (SCI, 中科院一区).
Chaogang Tang (唐朝刚), Huaming Wu*, Reputation-based service provisioning for vehicular fog computing. Journal of Systems Architecture, 131: 102735, 2022 (SCI, CCF B).
Chaogang Tang (唐朝刚), Huaming Wu*, Joint Optimization of Task Caching and Computation Offloading in Vehicular Edge Computing, Peer-to-Peer Networking and Applications, 15(2): 854-869, 2022 (SCI, CCF C).
论文信息可参阅：Homepage
