Blockchain-Based Dynamic Spectrum Sharing for 5G and Beyond Wireless Communications. - Zuguang Li; Wei Wang 100; Qihui Wu 001 (BlockSys, 2020)

Blockchain-Assisted Dynamic Spectrum Sharing in the CBRS Band. - Zuguang Li; Wei Wang 100; Jia Guo; Youwen Zhu; Lu Han; Qihui Wu 001 (ICCC, 2021)

Incentive Mechanism Design for Blockchain Enabled Distributed Content Caching. - Jia Guo; Wei Wang 100; Zuguang Li; Shan Sun (IPCCC, 2021)

Computation Offloading Management for MEC Assisted UAV Networks: A Multi-leader Multi-follower Game Approach. - Wenjing Xu; Zuguang Li; Wei Wang 100; Qihui Wu 001 (WCSP, 2021)

Joint pricing and task allocation for blockchain empowered crowd spectrum sensing. - Wenbin Chen; Wei Wang 100; Zuguang Li; Qiang Ye 002; Qihui Wu 001 (Peer-to-Peer Netw. Appl., 2022)

Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning. - Songge Zhang; Haoyu Tu; Zuguang Li; Shengbo Liu; Shaofeng Li 001; Wen Wu 003; Xuemin Sherman Shen (ICCC, 2023)

Permanence and Extinction Analysis for a Stochastic SIRS Model with Saturated Incidence. - Zuguang Li; Yuxi Yang; Ling Zhang; Delin Wu (ICMML, 2023)

Multi-Operator Dynamic Spectrum Sharing for Wireless Communications: A Consortium Blockchain Enabled Framework. - Zuguang Li; Wei Wang 100; Qihui Wu 001; Xianbin Wang 001 (IEEE Trans. Cogn. Commun. Netw., 2023)

SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G. - Qihui Wu 001; Wei Wang 100; Zuguang Li; Bo Zhou 012; Yang Huang 001; Xianbin Wang 001 (Sci. China Inf. Sci., 2023)

Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network. - Haoyu Tu; Lin Chen; Zuguang Li; Xiaopei Chen; Wen Wu 003 (GLOBECOM (Workshops), 2024)

SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network. - Songge Zhang; Guoliang Cheng; Zuguang Li; Wen Wu 003 (GLOBECOM (Workshops), 2024)

Adaptive Split Learning over Energy-Constrained Wireless Edge Networks. - Zuguang Li; Wen Wu 003; Shaohua Wu; Wei Wang 100 (INFOCOM (Workshops), 2024)

Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks. - Zuguang Li; Shaohua Wu; Liang Li; Songge Zhang (CoRR, 2024)

Split Fine-Tuning for Large Language Models in Wireless Networks. - Songge Zhang; Guoliang Cheng; Xinyu Huang; Zuguang Li; Wen Wu 003; Lingyang Song; Xuemin Shen (CoRR, 2025)

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions. - Zuguang Li; Wen Wu 003; Shaohua Wu; Qiaohua Lin; Yaping Sun; Hui Wang (CoRR, 2025)

LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions. - Xiaopei Chen; Wen Wu; Zuguang Li; Liang Li; Fei Ji (CoRR, 2025)

Fast AI Model Splitting over Edge Networks. - Zuguang Li; Wen Wu 003; Shaohua Wu; Songge Zhang; Ye Wang 002; Xuemin Shen (CoRR, 2025)