Publications¶

You can find my papers on the Google Scholar/DBLP/Researchgate Or you can also Download here. ORCID: 0000-0002-4725-2753.

(* denotes corresponding author)

Book /Book Chapter¶

• [B01] G. Li and J. Cai, "Efficient Online Incentive Mechanism Designs for Wireless Communications" 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)

Journals¶

• [J19] 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, vol. 25, no. 7, pp. 9487-9504, July 2026. (DOI: 10.1109/TMC.2026.3656452)
• [J18] M. Akbari, J. Cai, and G. Li*, "Incentive Mechanism Design in Federated Reinforcement Learning With Uniform and Non-Uniform Data Bounds," IEEE Transactions on Vehicular Technology, vol. 75, no. 3, pp. 4911-4923, Mar. 2026. (DOI: 10.1109/TVT.2025.3611289)
• [J17] 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)
• [J16] 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)
• [J15] H. Chen, Q. Yu, G. Yang, H. Zhang, and G. Li, "Compound strategy based binary willow catkin optimization for feature selection," Cluster Computing, vol. 28, no. 3, pp. 172-195, Jan. 2025. (DOI: https://doi.org/10.1007/s10586-024-04879-5)
• [J14] 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)
• [J13] 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).
• [J12] Y. Wu, D. Kong, W. Qian, G. Li*, "Performance analysis of UAV-Assisted Hybrid FSO/RF Communication Systems under Various Weather Conditions," Sensors, vol. 23, no. 17, pp. 1-11, 2023. (DOI: 10.3390/s23177638). (SCI 三区, IF: 3.9).
• [J11] R. Zhang, Z. Wang, G. Li*, Y. Wang, et al, "Hybrid Subcarrier Selection Method for Vital Sign Monitoring With Long-Term and Short-Term Data Considerations," IEEE Sensors Journal, vol. 22, no. 23, pp. 23209-23220, Dec. 2022. (DOI: 10.1109/JSEN.2022.3215443).
• [J10] 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).
• [J09] 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)
• [J08] G. Li and J. Cai, "An Online Incentive Mechanism for Crowdsensing with Random Task Arrivals," IEEE Internet of Things Journal, vol. 7, no. 4, pp. 2982-2995, April 2020. (DOI: 10.1109/JIOT.2020.2964657). (SCI 一区，IF: 10.238)
• [J07] G. Li, J. Cai, 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). (SCI 一区, IF: 11.3)
• [J06] 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 二区, IF: 5.37)
• [J05] G. Li, H. Chen, and J. Cai, "Joint User Association and Power Allocation for Hybrid Half-Duplex/Full-Duplex Relaying in Cellular Networks," IEEE Systems Journal, vol. 13, no. 2, pp. 1145-1156, June 2019. (DOI: 10.1109/JSYST.2018.2850861). (SCI 二区, IF: 3.98)
• [J04] H. Chen, G. Li and J. Cai, "Spectral–Energy Efficiency Tradeoff in Full-Duplex Two-Way Relay Networks," IEEE Systems Journal, vol. 12, no. 1, pp. 583-592, March 2018. (DOI: 10.1109/JSYST.2015.2464238). (SCI 二区，合作导师一作)
• [J03] G. Li, M. Zhou, H. Tang, and H. Chen, "A Virtualization Approach to Correct Systematic Errors in Measured TDOA and FDOA for Low Orbit Dual-satellite Positioning Systems," International Journal of Antennas and Propagation, vol. 2021, pp. 1-11. Aug. 2021, (Article ID: 9631502). (SCI 四区, IF: 1.17)
• [J02] G. Li, C. Cai, et al., "Robust adaptive Kalman filter in kinematic positioning," Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), vol. 27, no. 1, pp. 37-43, Feb. 2015. (Chinese Core Journals)
• [J01] G. Li, C. Cai, et al., "Method for Correcting TDOA and FDOA of Low Orbit Dual-Satellite System Based on VRS," Journal of Nanjing University of Aeronautics & Astronautics (Natural Science Edition), vol. 48, no. 5, pp. 723-730, Oct. 2016. (Chinese Core Journals)

Conferences¶

• [C12] J. Lu, Y. Xiang, Y. Chen, G. Li, S. Cao, G. Wen, "FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning," 43th International Conference on Machine Learning (ICML 2026), Seoul, South Korea, Jul. 2026, pp. 1-25. (CCF-A, Accepted)
• [C11] Y Xin, B. Pan, J. Lu, S. Cao, G. Li**, G. Wen, "FedVeer: Self-Adaptive Skew Estimation for Robust Federated Learning," 43th International Conference on Machine Learning (ICML 2026), Seoul, South Korea, Jul. 2026, pp. 1-25. (CCF-A, Accepted)
• [C10] Y. Xin, J. Lu, G. Li**, S. Cao, G. Wen, k. Wang, "OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility," Association for the Advancement of Artificial Intelligence (AAAI 2026), Singapore, Nov. 2025, pp. 1-9. (CCF-A)
• [C09] B. Pan, J. Lu, S. Cao, X. Zhang, G. Li*, G. Wen, "OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks," Association for the Advancement of Artificial Intelligence (AAAI 2026), Singapore, Nov. 2025, pp. 1-9. (CCF-A)
• [C08] Y. Chen, J. Lu, S. Cao, W. Wang, G. Li*, et al, "FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data," Association for the Advancement of Artificial Intelligence (AAAI 2026), Singapore, Nov. 2025, pp. 1-9. (CCF-A)
• [C07] Y. Xin, J. Lu, S. Cao, and G. Li*, et al, "DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information," International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, Canada, 2025, pp. 1-9. (CCF-A)
• [C06] X. Zhao and G. Li*, "DTFedCP: Digital Twin Enabled Personalized Client Selection and Privacy Protection in Federated Learning under Data Heterogeneity," IEEE VTC 2025-Fall Workshop, Chendu, China, 2025, pp. 1-6. (DOI: 10.1109/VTC2025-Fall65116.2025.11310590)
• [C05] 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)
• [C04] X. Zhao, G. Li*, and J. Cai,"A Novel Differential Privacy Federated Learning Framework: An Adaptive Budget Allocation and Reversion Method," IEEE International Conference on Multimedia & Expo (ICME), Nantes, France, 2025, pp. 1-6. (DOI: 10.1109/ICME59968.2025.11209553) (CCF-B)
• [C03] G. Li, J. Cai, and J. Ma,"Online Incentive Mechanism Design for Collaborative Offloading in Mobile Edge Computing," IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6. (DOI: 10.1109/GLOBECOM38437.2019.9013744)
• [C02] G. Li and J. Cai, "An Online Mechanism for Crowdsensing with Uncertain Task Arriving," IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-6. (DOI: 10.1109/ICC.2018.8422306)
• [C01] G. Li and C. Cai, "Analysis of Location Accuracy of Low Orbit Dual-satellites Passive System Based on Differential Method," ITCAE 2015. (EI) (DOI10.1201/b18658-139)

Patents¶

• [P01] C. Cai, G. Li, et al, "一种基于VRS 差分原理的低轨双星时差频差精密修正方法", Patent Grant No. CN 105842710 B. (In chinese)