Zuguang Li

22 papers A* 1C 3Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Demo: Split-and-Pipeline: Collaborative Large Model Inference on Edge Devices.
MobiCom
Zuguang Li, Dongyuan Ou, Wen Wu, Songge Zhang, Shaohua Wu, Xuemin (Sherman) Shen
2025 J jnl
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks.
IEEE Netw. Lett.
Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang
2025 J jnl
LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions.
CoRR
Xiaopei Chen, Wen Wu, Zuguang Li, Liang Li, Fei Ji
2025 J jnl
Split Fine-Tuning for Large Language Models in Wireless Networks.
CoRR
Songge Zhang, Guoliang Cheng, Xinyu Huang, Zuguang Li, Wen Wu, Lingyang Song, Xuemin Shen
2025 J jnl
Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions.
CoRR
Zuguang Li, Wen Wu, Shaohua Wu, Qiaohua Lin, Yaping Sun, Hui Wang
2025 J jnl
Split Knowledge Distillation for Large Models in IoT: Challenges and Solutions.
IEEE Internet Things Mag.
Zuguang Li, Shaohua Wu, Wen Wu, Qiaohua Ling, Yaping Sun, Hui Wang
2025 J jnl
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network.
CoRR
Songge Zhang, Guoliang Cheng, Zuguang Li, Wen Wu
2024 — conf
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks.
INFOCOM (Workshops)
Zuguang Li, Wen Wu, Shaohua Wu, Wei Wang
2024 J jnl
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks.
CoRR
Zuguang Li, Wen Wu, Shaohua Wu, Wei Wang
2024 J jnl
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks.
CoRR
Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang
2024 — conf
Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network.
GLOBECOM (Workshops)
Haoyu Tu, Lin Chen, Zuguang Li, Xiaopei Chen, Wen Wu
2024 J jnl
Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network.
CoRR
Haoyu Tu, Lin Chen, Zuguang Li, Xiaopei Chen, Wen Wu
2024 — conf
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network.
GLOBECOM (Workshops)
Songge Zhang, Guoliang Cheng, Zuguang Li, Wen Wu
2023 C conf
Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning.
ICCC
Songge Zhang, Haoyu Tu, Zuguang Li, Shengbo Liu, Shaofeng Li, Wen Wu, Xuemin Sherman Shen
2023 J jnl
Multi-Operator Dynamic Spectrum Sharing for Wireless Communications: A Consortium Blockchain Enabled Framework.
IEEE Trans. Cogn. Commun. Netw.
Zuguang Li, Wei Wang, Qihui Wu, Xianbin Wang
2023 — conf
Permanence and Extinction Analysis for a Stochastic SIRS Model with Saturated Incidence.
ICMML
Zuguang Li, Yuxi Yang, Ling Zhang, Delin Wu
2023 J jnl
SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G.
Sci. China Inf. Sci.
Qihui Wu, Wei Wang, Zuguang Li, Bo Zhou, Yang Huang, Xianbin Wang
2022 J jnl
Joint pricing and task allocation for blockchain empowered crowd spectrum sensing.
Peer-to-Peer Netw. Appl.
Wenbin Chen, Wei Wang, Zuguang Li, Qiang Ye, Qihui Wu
2021 C conf
Blockchain-Assisted Dynamic Spectrum Sharing in the CBRS Band.
ICCC
Zuguang Li, Wei Wang, Jia Guo, Youwen Zhu, Lu Han, Qihui Wu
2021 — conf
Computation Offloading Management for MEC Assisted UAV Networks: A Multi-leader Multi-follower Game Approach.
WCSP
Wenjing Xu, Zuguang Li, Wei Wang, Qihui Wu
2021 C conf
Incentive Mechanism Design for Blockchain Enabled Distributed Content Caching.
IPCCC
Jia Guo, Wei Wang, Zuguang Li, Shan Sun
2020 — conf
Blockchain-Based Dynamic Spectrum Sharing for 5G and Beyond Wireless Communications.
BlockSys
Zuguang Li, Wei Wang, Qihui Wu