吴茂强

吴茂强,男,博士,特聘研究员。研究方向车联网边缘智能与隐私计算、AIGC、联邦学习。

吴茂强,男,博士,通信工程系,特聘研究员,硕士生导师

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联系方式

maoqiangwu@m.scnu.edu.cn

maoqiang.wu@vip.163.com


研究方向

车联网边缘智能与隐私计算、AIGC、大模型、联邦学习


欢迎执行力强、喜欢挑战的本硕同学加入。具有较好的python编程能力和英语基础的优先。


个人经历

2024.01至今         华南师范大学       特聘研究员

2022.02-2023.07  澳门大学             访问学者

2022.01-2023.12  广东工业大学       博士后

2019.11-2020.11  美国休斯顿大学   访问学者

2017.09-2021.12  广东工业大学       博士


荣誉奖励

2023广东省计算机协会优秀论文奖

2016国际会议ICCC最佳论文奖


近期论文

SCI期刊

[1] Z. Zhang, X. Huang*, R. Yu, M. Wu, J. Kang, and S. Xie, Toward High-Accuracy and Low-Latency Group Vehicle Trajectory Prediction with Linear UNet-Enhanced Fully Connected Spatial-Temporal Graph Neural Network, 2024中科院SCI一区, If=12.777

[2] Y.Hu, D. Ye, J. Kang, M. Wu, R. Yu*, A Cloud-Edge Collaborative Architecture for Multimodal LLMs-Based Advanced Driver Assistance Systems in IoT Networks, 2024中科院SCI一区, If=12.777

[3] X. Wang, M. Hao*, M. Wu, et al, Digital Twin-assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffics, 中科院SCI一区, If=12.777

[4] Y. Hu, M. Wu*, J. Kang, R. Yu*, D-Tracking: Digital Twin Enabled Trajectory Tracking System of Autonomous Vehicles, IEEE Transactions on Vehicular Technology, 2024 (中科院SCI二区, If=6.239共同通讯

[5] M. Wu, R. Yang, X. Huang*, Y. Wu, J. Kang, and S. Xie, Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning over Vehicular Edge Networks, IEEE Transactions on Vehicular Technology, 2024 (中科院SCI二区, If=6.239, 一作

[6] M. Wu, G. Cheng, P. Li, R. Yu*, Y. Wu, M. Pan, and R. Lu, Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks, IEEE Wireless Communications, 2023. (中科院SCI一区, If=12.777, 一作

[7] M. Wu, G. Cheng, D. Ye, J. Kang, R. Yu*, Y. Wu, and M. Pan, Federated Split Learning with Data and Label Privacy Preservation in Vehicular Networks, IEEE Transactions on Vehicular Technology, 2023 (中科院SCI二区, If=6.239, 一作

[8] D. Shi, L. Li, M. Wu, M. Shu, R. Yu, M. Pan*, and Z. Han, To talk or to work: Dynamic batch sizes assisted time efficient federated learning over future mobile edge devices, IEEE Transactions on Wireless Communications, 2023. (中科院SCI一区, If=8.346

[9] M. Wu, Ye. D, J. Ding, Y. Guo, R. Yu*, and M. Pan. Incentivizing Differentially Private Federated Learning: A Multi-Dimensional Contract Approach, IEEE Internet of Things Journal, 2021(中科院SCI一区, If=10.238, 一作

[10] J. Kang, R. Yu*, X. Huang, M. Wu, S. Maharjan, S Xie, and Y Zhang, Blockchain for secure and efficient data sharing in vehicular edge computing and networks, IEEE Internet of Things Journal, 2021(SCI一区, If=10.238, ESI高被引论文

[11] M. Wu, D. Ye, C. Zhang, and R. Yu*; Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks, EURASIP Journal on Advances in Signal Processing, 2021. 

[12] M. Wu, X. Huang, B. Tan, and R. Yu*, Hybrid sensor network with edge computing for AI applications of connected vehicles, Journal of Internet Technology, 2020. 


中文核心期刊

[1] 吴茂强,黄旭民,康嘉文,余荣*;面向车路协同推断的差分隐私保护研究,计算机工程,2022. 

[2] 吴振铨,吴茂强*,叶东东,余荣,何昭水,基于公交网络的车载群智感知方法及其优化,计算机应用研究,2019. 


EI会议

[1] M. Wu, G. Cheng, P. Prakash, R. Yu*, X Xiong, M. Pan, Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality, 26th IEEE International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023.

[2] P. Prakash, J. Ding, M. Wu, M. Shu, R. Yu, and M. Pan*, To talk or to work: Delay efficient federated learning over mobile edge devices, 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021. 

[3] Zhang, J. Ding, M. Wu, S. Wong, H. Nguyen, and M. Pan*, Adaptive privacy preserving deep learning algorithms for medical data, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, USA, 2021. 

[4] M. Wu, D. Ye, S. Tang and R. Yu*, Collaborative vehicle sensing in bus networks: A Stackelberg game approach, 2016 IEEE/CIC International Conference on Communications in China (ICCC), Chengdu, 2016. (最佳论文奖)


专著

余荣;王思明;郝敏;吴茂强;等, 6G可信可靠智能, 北京邮电大学出版社, 11万字, 2023.10出版


科技项目

[1] 国家自然科学基金青年项目,基于联邦分割学习的车联网多模态大模型高效隐私计算方法,2025-01至2027-12,30万,主持

[2] 广东省普通高校青年创新人才项目,基于联邦分割学习的车联网多方安全计算方法研究,2024-10 至 2026-10,6万,主持

[3] 企业横向,异构多源数据处理算法研究,2024-03 至 2024-06,68万,主持

[4] 国家自然科学基金面上项目, 车联网数字孪生体边缘协同部署和隐私保护关键技术研究 , 2024-01-01 至 2027-12-31, 49万元, 参与

[5] 国家自然科学基金面上项目, 车联网边缘智能的资源优化与服务协同研究, 2020-01-01 至 2023-12-31, 59万元, 参与

[6] 国家科技部重点研发计划课题, 6G全场景按需服务关键技术:可信自主的全域接入管控技术, 2020-01 至 2023-12, 189万元, 参与



服务兼职

中文核心期刊《计算机工程》青年编辑委员会委员

SCI 期刊审稿人

[1] IEEE Wireless Communications (If=12.777)

[2] IEEE Internet of Things Journal (If=10.238)

[3] IEEE Transactions on Wireless Communications (If=8.346)

[4] IEEE Transactions on Vehicular Technology (If=6.239)

[5] IEEE Transactions on Network and Science and Engineering (If=5.033)

[6] IEEE China Communications (If=3.17)

国际学术会议TPC成员

[1] TPC member, 2024/2023/2022 IEEE Global Communications Conference (GLOBECOM)

[2] TPC member, 2024 IEEE International Conference on Computing, Networking and Communications (ICNC)

[3] TPC member, 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)

[4] TPC member, 2024/2023 IEEE/CIC international Conference on Communications in China (ICCC)

[5] TPC member, 2021 IEEE Wireless Communications and Networking Conference (WCNC)