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ORCIDZuguang Li
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2020 – today
- 2025
[j5]Zuguang Li
, Shaohua Wu, Liang Li, Songge Zhang:
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks. IEEE Netw. Lett. 7(3): 176-180 (2025)- [j4]Zuguang Li, Shaohua Wu, Wen Wu, Qiaohua Ling, Yaping Sun, Hui Wang:
Split Knowledge Distillation for Large Models in IoT: Challenges and Solutions. IEEE Internet Things Mag. 8(5): 16-23 (2025) - [c10]Zuguang Li, Dongyuan Ou, Wen Wu, Songge Zhang, Shaohua Wu, Xuemin (Sherman) Shen:
Demo: Split-and-Pipeline: Collaborative Large Model Inference on Edge Devices. MobiCom 2025: 1207-1209 - [i7]Songge Zhang, Guoliang Cheng, Xinyu Huang, Zuguang Li, Wen Wu, Lingyang Song, Xuemin Shen:
Split Fine-Tuning for Large Language Models in Wireless Networks. CoRR abs/2501.09237 (2025) - [i6]Songge Zhang, Guoliang Cheng, Zuguang Li, Wen Wu:
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network. CoRR abs/2501.13318 (2025) - [i5]Zuguang Li, Wen Wu, Shaohua Wu, Qiaohua Lin, Yaping Sun, Hui Wang:
Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions. CoRR abs/2501.17164 (2025) - [i4]Xiaopei Chen, Wen Wu, Zuguang Li, Liang Li, Fei Ji:
LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions. CoRR abs/2503.13819 (2025) - 2024
- [c9]Haoyu Tu, Lin Chen, Zuguang Li, Xiaopei Chen, Wen Wu:
Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network. GLOBECOM (Workshops) 2024: 1-6 - [c8]Songge Zhang, Guoliang Cheng, Zuguang Li, Wen Wu:
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network. GLOBECOM (Workshops) 2024: 1-6 - [c7]Zuguang Li, Wen Wu, Shaohua Wu, Wei Wang:
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks. INFOCOM (Workshops) 2024: 1-6 - [i3]Zuguang Li, Wen Wu, Shaohua Wu, Wei Wang:
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks. CoRR abs/2403.05158 (2024) - [i2]Haoyu Tu, Lin Chen, Zuguang Li, Xiaopei Chen, Wen Wu:
Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Network. CoRR abs/2410.10451 (2024) - [i1]Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang:
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks. CoRR abs/2412.00090 (2024) - 2023
- [j3]Qihui Wu, Wei Wang, Zuguang Li, Bo Zhou, Yang Huang, Xianbin Wang:
SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G. Sci. China Inf. Sci. 66(3) (2023) - [j2]Zuguang Li, Wei Wang, Qihui Wu, Xianbin Wang:
Multi-Operator Dynamic Spectrum Sharing for Wireless Communications: A Consortium Blockchain Enabled Framework. IEEE Trans. Cogn. Commun. Netw. 9(1): 3-15 (2023) - [c6]Songge Zhang, Haoyu Tu, Zuguang Li, Shengbo Liu, Shaofeng Li, Wen Wu, Xuemin Sherman Shen:
Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning. ICCC 2023: 1-2 - [c5]Zuguang Li, Yuxi Yang, Ling Zhang, Delin Wu:
Permanence and Extinction Analysis for a Stochastic SIRS Model with Saturated Incidence. ICMML 2023: 17-20 - 2022
- [j1]Wenbin Chen, Wei Wang, Zuguang Li, Qiang Ye, Qihui Wu:
Joint pricing and task allocation for blockchain empowered crowd spectrum sensing. Peer-to-Peer Netw. Appl. 15(1): 783-792 (2022) - 2021
- [c4]Zuguang Li, Wei Wang, Jia Guo, Youwen Zhu, Lu Han, Qihui Wu:
Blockchain-Assisted Dynamic Spectrum Sharing in the CBRS Band. ICCC 2021: 864-869 - [c3]Jia Guo, Wei Wang, Zuguang Li, Shan Sun:
Incentive Mechanism Design for Blockchain Enabled Distributed Content Caching. IPCCC 2021: 1-6 - [c2]Wenjing Xu, Zuguang Li, Wei Wang, Qihui Wu:
Computation Offloading Management for MEC Assisted UAV Networks: A Multi-leader Multi-follower Game Approach. WCSP 2021: 1-5 - 2020
- [c1]Zuguang Li, Wei Wang, Qihui Wu:
Blockchain-Based Dynamic Spectrum Sharing for 5G and Beyond Wireless Communications. BlockSys 2020: 575-587
Coauthor Index
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