古博

教授 / 智能工程学院院长助理

E-mail：gubo@mail.sysu.edu.cn

研究方向：时空序列预测、移动群智感知网络、毫米波雷达感知、特种车辆无人驾驶

古博，中山大学教授、博士生导师，深圳市海外高层次人才，入选斯坦福大学全球前2%顶尖科学家榜单。2004年本科毕业于天津大学计算机科学与技术专业，2007年获北京大学软件工程专业硕士学位，2013年获早稻田大学信息通信专业博士学位。曾任早稻田大学助理教授，日本工学院大学副教授，2019年加入中山大学。研究兴趣包括时空序列预测、移动群智感知网络、毫米波雷达感知、特种车辆无人驾驶。以第一或通讯作者身份在IEEE TMC、IEEE TWC、IEEE TCOM等高水平学术期刊、国际会议上发表论文100余篇，授权国家发明专利20余项，主编教材1部，参与编写英文专著3部。

主要经历

2024/04至今，   中山大学智能工程学院，教授

2019/03-2024/04，中山大学智能工程学院，“百人计划”副教授

2016/04-2019/03，日本工学院大学信息学部，副教授

2016/02-2016/03，华盛顿大学，访问学者

2013/09-2016/03，早稻田大学基础理工学部，助理教授

2009/04-2013/02，早稻田大学，信息通信，博士

2007/10-2009/03，索尼公司（日本），下一代数字家庭网络研发工程师

2004/09-2007/07，北京大学，软件工程，硕士

2000/09-2004/07，天津大学，计算机科学与技术，学士

研究方向

时空序列预测：稀疏流量预测、迁移预测、模型泛化性/轻量化

移动群智感知网络：激励机制设计、数据质量增强、多无人机辅助数据采集

毫米波雷达感知：呼吸心率监测、多目标身份识别、人体行为识别

特种车辆无人驾驶：端到端自动驾驶、大模型、具身智能

（课题组常年招收博士后、博士生、硕士生和优秀本科生，欢迎邮件联系）

 

讲授课程：计算机网络、智能机器人综合实验、强化学习

近期代表性论文

  1. D. Zhou, L. Li, S. Gong*, B. Gu, G. Chen and D. Niyato, “Learning Adaptive Jamming and Beamforming for Hybrid IRS-assisted Secure NOMA Transmissions,” IEEE Transactions on Communications, 2025.
  2. Z. Huang, H. Chen, B. Gu*, S. Gong, Z. Su and M. Guizani, “A Learning-Based Iterative Algorithm for AoI-Optimal Trajectory Planning in UAV-Assisted IoT Networks,” IEEE Transactions on Wireless Communications, 2025. 
  3. Y. Chen, X. Hu, S. Gong, Z. Su and B. Gu*, “Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity,” IEEE Internet of Things Journal, 2025.
  4. J. Li, B. Gu*, S. Gong, Z. Su and M. Guizani, “Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?,” IEEE Transactions on Mobile Computing,  2025.
  5. S. Zhao, S. Gong, B. Gu, L. Li, B. Lyu, D.T. Hoang and C. Yi, “Exploiting NOMA Transmissions in Multi-UAV-Assisted Wireless Networks: From Aerial-RIS to Mode-Switching UAVs,” IEEE Transactions on Communications,  2025.
  6. Z. Lin, X. Zhang, S. Gong, L. Li, Z. Su and B. Gu*, “Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks,” IEEE Transactions on Vehicular Technology, 2025.
  7. Z. Lin, Z. Huang, B. Gu*, S. Gong, Z. Su and M. Guizani, “CORA: Channel Occupancy-Aware Resource Allocation in LoRa Wireless Networks,” IEEE Transactions on Vehicular Technology, 2024.
  8. Y. Long, S. Zhao, S. Gong, B. Gu, D. Niyato and X. Shen, “AoI-Aware Sensing Scheduling and Trajectory Optimization for Multi-UAV-Assisted Wireless Backscatter Networks,” IEEE Transactions on Vehicular Technology, 2024.
  9. B. Gu, W. Hu, S. Gong*, Z. Su and M. Guizani, “CBDTF: A Distributed and Trustworthy Data Trading Framework for Mobile Crowdsensing,” IEEE Transactions on Vehicular Technology, 2024.
  10. B. Gu, J. Zhan, S. Gong*, W. Liu, Z. Su and M. Guizani, “A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction,” IEEE Transactions on Wireless Communications, 2023.
  11. J. Li, B. Gu, Z. Qin and Y. Han, “Graph Tasks Offloading and Resource Allocation in Multi-Access Edge Computing: A DRL-and-Optimization-Aided Approach,” IEEE Transactions on Network Science and Engineering, 2023.
  12. S. Zhao, Y. Liu, S. Gong, B. Gu, R. Fan and B. Lyu, “Computation Offloading and Beamforming Optimization for Energy Minimization in Wireless-Powered IRS-Assisted MEC,” IEEE Internet of Things Journal, 2023.
  13. S. Gong, M. Wang, B. Gu*, W. Zhang, D. T. Hoang and D. Niyato, “Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks,” IEEE Transactions on Vehicular Technology, 2023.
  14. S. Gong, L. Cui, B. Gu*, B. Lyu, D. T. Hoang and D. Niyato, “Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-Aided and Wireless-Powered Wireless Networks,” IEEE Transactions on Wireless Communications, 2023.
  15. Y. Yao, B. Gu*, Z. Su and M. Guizani, “MVSTGN: A Multi-View Spatial-Temporal Graph Network for Cellular Traffic Prediction,” IEEE Transactions on Mobile Computing, 2023.
  16. B. Gu*, W. Chen, M. Alazab, X. Tan and M. Guizani, “Multiagent Reinforcement Learning-Based Semi-Persistent Scheduling Scheme in C-V2X Mode 4,” IEEE Transactions on Vehicular Technology, 2023.
  17. X. Yang, B. Gu*, B. Zheng, B. Ding, Y. Han and K. Yu, “Toward Incentive-Compatible Vehicular Crowdsensing: An Edge-Assisted Hierarchical Framework,” IEEE Network, 2022. 
  18. B. Gu, M. Alazab*, Z. Lin, X. Zhang and J. Huang, “AI-Enabled Task Offloading for Improving Quality of Computational Experience in Ultra-Dense Networks,” ACM Transactions on Internet Technology, 2022.
  19. J. Huang, Q. Duan, C. Xing, B. Gu, G. Wang, S. Zeadally and E. Baker, “A Fine-Grained Video Traffic Control Mechanism in Software-Defined Networks,” IEEE Transactions on Network and Service Management, 2022.
  20. Y. Yao, B. Gu*, M. Alazab, N. Kumar and Y. Han, “Integrating Multi-Hub Driven Attention Mechanism and Big Data Analytics for Virtual Representation of Visual Scenes,” IEEE Transactions on Industrial Informatics, 2022.
  21. K. Yu, L. Lin, M. Alazab, L. Tan and B. Gu, “Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System,” IEEE Transactions on Intelligent Transportation Systems, 2021
  22. B. Gu*, X. Yang, Z. Lin, W. Hu, M. Alazab and R. Kharel, “Multiagent Actor-Critic Network-Based Incentive Mechanism for Mobile Crowdsensing in Industrial Systems,” IEEE Transactions on Industrial Informatics, 2021.
  23. B. Gu, X. Zhang, Z. Lin and M. Alazab, “Deep Multiagent Reinforcement-Learning-Based Resource Allocation for Internet of Controllable Things,” IEEE Internet of Things Journal, 2021.
  24. Z. Zhou, B. Wang, B. Gu*, B. Ai, S. Mumtaz, J. Rodriguez, and M. Guizani, “Time-Dependent Pricing for Bandwidth Slicing under Information Asymmetry and Price Discrimination”, IEEE Transactions on Communications, 2020.
  25. Z. Zhou, H. Liao, B. Gu*, S. Mumtaz and J. Rodriguez, “Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2020.
  26. Z. Zhou, C. Zhang, J. Wang, B. Gu, S. Mumtaz and J. Rodriguez, “Energy-Efficient Resource Allocation for Energy Harvesting-Based Cognitive Machine-to-Machine Communications,” IEEE Transactions on Cognitive Communications and Networking, 2019.
  27. B. Gu, and Z. Zhou*, “Task Offloading in Vehicular Mobile Edge Computing: A Matching-Theoretic Framework,” IEEE Vehicular Technology Magazine, 2019.

荣誉获奖情况

2024/09 IEICE Communication Society Distinguished Contributions Award

2024/08 中山大学2024年一流本科课程，智能机器人综合实验（课程负责人）

2023/05 中国机器人及人工智能大赛全国总决赛一等奖（指导教师）

2023/05 中国预测控制与智能决策大会优秀论文奖

2023/03 广东省安全生产协会应急与安全科技进步特等奖

2021/08 深圳市海外高层次人才

2020/10 中国计算机学会推荐会议APNOMS 2020最佳论文奖

2019/05 IEEE CSIM 2019最佳期刊论文奖

2019/03 ICM Activity Testimonial

2016/10 中国计算机学会推荐会议APNOMS 2016最佳论文奖

2016/09 IEICE Communications Society Activity Testimonial

2016/03 IEICE Information and Communication Management English Session Encouragement Award

2012/07 IEICE Communication Quality Conference Premium Award

2011/03 IEICE Young Researchers Award

学术兼职

中国国家科技专家库在库专家

中国计算机学会分布式计算与系统专业委员会执行委员

中国指挥与控制学会指挥控制网络专委会委员

日本电子信息通信学会通信质量专业委员会副秘书长、专家级委员

日本技术者教育认定机构评审员

广东省科技咨询专家库在库专家

粤港澳大湾区人工智能产业智库专家

深圳市科技专家库在库专家

IEICE Transactions on Information and Systems（SCI）编委

IEICE Communication Express（SCI）编委

联系方式

电子邮箱：gubo@mail.sysu.edu.cn

通讯地址：深圳市光明区公常路66号中山大学深圳校区工学园1-525

邮编：518107