Publications

Published papers

1. \([\color{red}{\text{ICDCS 2024}}]\) TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
   Guanqiao Qu, Zheng Lin, Fangming Liu, Xianhao Chen*, Kaibin Huang
   IEEE International Conference on Distributed Computing Systems (ICDCS), 2024. (Acceptance ratio: 21.9%)

2. \([\color{red}{\text{WCM}}]\) Split Learning in 6G Edge Networks
   Zheng Lin, Guanqiao Qu, Xianhao Chen*, Kaibin Huang
   IEEE Wireless Communications, 2024.

3. \([\color{red}{\text{COMST}}]\) Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
   Xianhao Chen*, Yiqin Deng, Haichuan Ding, Guanqiao Qu, Haixia Zhang, Pan Li, Yuguang Fang
   IEEE Communications Surveys & Tutorials, 2024.

4. \([\color{red}{\text{GLOBECOM 2023}}]\) Optimal Resource Allocation for U-shaped Parallel Split Learning
   Song Lyu, Zheng Lin, Guanqiao Qu, Xianhao Chen*, Xiaoxia Huang, and Pan Li
   IEEE Global Communications Conference (GLOBECOM), 2023.

Papers under review

1. Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
   Guanqiao Qu, Qiyuan Chen, Wei Wei, Zheng Lin, Xianhao Chen*, Kaibin Huang
   

2. TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading
   Guanqiao Qu, Zheng Lin, Qian Chen, Jian Li, Fangming Liu, Xianhao Chen*, Kaibin Huang
   

3. AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
   Zheng Lin, Guanqiao Qu, Wei Wei, Xianhao Chen*, and Kin K. Leung
   

4. Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
   Zheng Lin, Guanqiao Qu, Qiyuan Chen, Xianhao Chen*, Zhe Chen, and Kaibin Huang