李刚，博士，骏马计划B2岗研究员，博士生导师。2022年毕业于加拿大康考迪亚大学（Computer Engineering专业），获得工学博士学位（导师：Prof. Jun Cai）。2024年3月入职内蒙古大学计算机学院，同时是加拿大Concordia University (康考迪亚大学) 智能网络与创新实验室 (NI2Lab)主要成员。主持国家级项目一项，省部级项目2项。近年来在国际学术刊物IEEE Transactions on Mobile Computing、IEEE Transactions on Wireless Communications、IEEE Wireless Communication、IEEE Transactions on Vehicular Technology，IEEE ICC、IEEE Globecom等国际顶级期刊和知名会议上发表论文30余篇，其中第一/通讯作者发表论文20余篇，书章节1部和无线网络领域个人专著1部，授权发明专利1项。目前担任IEEE TMC、IEEE TVT、IEEE TCCN、IEEE IoT-J等多个期刊的审稿人。

主要从事优化、激励机制设计、在线算法、机器学习以及将它们应用于无线网络中资源管理，尤其在联邦学习、边缘\雾计算、车联网\无人机系统、通导一体化、5G和未来通信系统中。

办公地点：计算机学院315

邮箱：gli@imu.edu.cn

个人主页：http://home-gangli.cn

招生信息：

课题组欢迎具有计算机、移动通信网、数学等背景的硕士和博士（优秀本科生），尤其是本科阶段参加过数学建模、软件设计大赛的同学，欢迎报考。本人将全力指导学生，力争实现学生和导师的双赢，表现出色的学生有机会被推荐到国内外知名大学继续深造。

科研成果：（完整列表见个人主页）

书/书章节：

[B01] G. Li and J. Cai, “Efficient Online Incentive Mechanism Designs for WirelessCommunications” Springer, 2024.(ISBN: 978-3-031-58453-4)

[BC01] G. Li and J. Cai, “Broadband Communications, Computing, and Control for Ubiquitous Intelligence” Springer, 2022. (Chapter 11, Part II, ISBN: 978-3-030-98063-4)

代表性论文（*代表通信作者）：

[J10] G. Li, J. Cai, Y. Lin, and X. Zhang, "A Sustainable Incentive Mechanism for Long-Term Cross-device Federated Learning With Energy Limits and Fairness," IEEE Transactions on Mobile Computing, Jan. 2026. (DOI: 10.1109/TMC.2026.3656452) (CCF A类推荐).

[J09] G. Li, J. Cai, X. Chen, and Z. Su, “Nonlinear Online Incentive Mechanism Design in Edge Computing Systems with Energy Budget,” IEEE Transactions on Mobile Computing, vol. 22, no. 7, pp. 4086-4102, Jul. 2023. (DOI: 10.1109/TMC.2022.3148034) (CCF A类推荐).

[J08] G. Li, J. Cai, J. Lu, and H. Chen, "Incentive Mechanism Design for Cross-Device Federated Learning: A Reinforcement Auction Approach," IEEE Transactions on Mobile Computing, vol. 24, no. 4, pp. 3059-3075, April 2025. (DOI: 10.1109/TMC.2024.3508260) (CCF A类推荐).

[J07] G. Li and J. Cai,“An Online Incentive Mechanism for Collaborative Task Offloading in Mobile Edge Computing,”IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 624-636, Jan. 2020. (DOI: 10.1109/TWC.2019.2947046). (中科院一区).

[J06] G. Li, J. Cai, and H. Chen, "Online Truthful Mechanism Design in Wireless Communication Networks," IEEE Wireless Communication, vol. 28, no. 4, pp. 159-165, Aug. 2021. (DOI: 10.1109/MWC.001.2000451). (中科院一区)

[J05] G. Li, J. Cai, et al,“Online Incentive Mechanism Designs for Asynchronous Federated Learning In Edge Computing,”IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7787-7804, 1 Mar. 2024. (DOI: 10.1109/JIOT.2023.3316470). (SCI中科院二区).

[J04] G. Li, J. Cai, and S. Ni, "Truthful Deep Mechanism Design with Budget Constraints for Revenue-Maximization in Edge Computing," IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 902-914, Jan. 2022. (DOI: 10.1109/TVT.2021.3129098). (SCI中科院二区)

[J03] Y. Yao, G. Li*, H. Chen, and H. Chen, "Incentive Mechanism Design for Semi-Asynchronous Federated Learning Based on Contract Theory: A Learning Approach," IEEE Internet of Things Journal, vol. 12, no. 15, pp. 30901-30920, Aug. 2025. (DOI:10.1109/JIOT.2025.3572121)(SCI中科院二区)

[J02] X. Zhao, G. Li*, Y. Yao, and B. Cui, "Balancing Privacy and Fairness: Client Selection in Differential Privacy-Based Federated Learning," Journal of Systems Architecture, vol. 168, Nov. 2025. (DOI:10.1016/j.sysarc.2025.103576). (CCF B类推荐)

[J01] X. Zhao, G. Li*, and H. Chen, "MIPP-FL: Personalized Layer Privacy Protection Federated Learning Based on Mutual Information," IEEE International Conference on Multimedia & Expo (ICME), Nantes, France, 2025, pp. 1-6. (DOI: 10.1109/ICME59968.2025.11209201) (CCF-B类推荐)

所获奖励：

2025.12 中国商业联合会服务业科技创新奖一等奖

2023.08 第十七届“西门子杯”智能制造挑战赛，全国总决赛一等奖

2019.01 Concordia International TuitionAward of Excellence (康考迪亚国际学费优秀奖)

2017.01 InternationalGraduate Student Scholarship (国际研究生奖)

2015.10 研究生国家奖学金