[arXiv] FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks Q. Chen, X. Chen*, K. Huang* IEEE Transactions on Wireless Communications, under review
[arXiv] Space-ground Fluid AI for 6G Edge Intelligence Q. Chen, Z. Wang, X. Chen, J. Wen, D. Zhou, S. Ji, M. Sheng, K. Huang* Engineering, major revision
[arXiv] Hierarchical Split Federated Learning: Convergence Analysis and System Optimization Z. Lin, W. Wei, Z. Chen, C. Lam, X. Chen*, Y. Gao and J. Luo IEEE Transactions on Mobile Computing, major revision
[COMST] Mobile Edge Intelligence for Large Language Models: A Contemporary Survey G. Qu, Q. Chen, Z. Lin, W. Wei, X. Chen*, K. Huang, IEEE Communications Surveys & Tutorials, 2025.
[arXiv] TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading G. Qu, Z. Lin, Q. Chen, J. Li, F. Liu, X. Chen*, K. Huang, IEEE/ACM Transactions on Networking, major revision.
[ICDCS] TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks G. Qu, Z. Lin, F. Liu, X. Chen*, K. Huang, IEEE International Conference on Distributed Computing Systems (ICDCS), 2024. (acceptance ratio: 21.9%)
[arXiv] AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks Z. Lin, G. Qu, W. Wei, X. Chen* and K. K. Leung IEEE/ACM Transactions on Networking, major revision.
[TMC] FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks Z. Lin, Z. Chen, Z. Fang, X. Chen, X. Wang, and Y. Gao IEEE Transactions on Mobile Computing, 2024.
[arXiv] Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities Z. Lin, G. Qu, Q. Chen, X. Chen* and K. Huang IEEE Communications Magazine, major revision.
[COMST] Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities X. Chen, Y. Deng, H. Ding, G. Qu, H. Zhang, P. Li, and Y. Fang IEEE Communications Surveys & Tutorials, 2024.
[TMC] Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Z. Lin, G. Zhu, Y. Deng, X. Chen*, Y. Gao, K. Huang and Y. Fang IEEE Transactions on Mobile Computing, 2024.
[WCM] Split Learning in 6G Edge Networks Z. Lin, G. Qu, X. Chen* and K. Huang IEEE Wireless Communications, 2024
[TMC] LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks H. Chen, R. Zhou, Y. Chan, Z. Jiang, X. Chen and E. Ngai, IEEE Transactions on Mobile Computing, 2024
[ToN] End-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services X. Chen, G. Zhu, H. Ding, L. Zhang, H. Zhang, and Y. Fang, IEEE/ACM Transactions on Networking, 2022
[TWC] Federated Learning over Multi-Hop Wireless Networks with In-Network Aggregation X. Chen, G. Zhu, Y. Deng, and Y. Fang, IEEE Transactions on Wireless Communications, 2022
[WCM] Actions at the Edge: Jointly Optimizing the Resources in Multi-access Edge Computing Y. Deng, X. Chen*, G. Zhu, Y. Fang, Z. Chen, and X. Deng, IEEE Wireless Communications, 2022
[WCM] From Resource Auction to Service Auction: An Auction Paradigm Shift in Wireless Networks X. Chen, Y. Deng, G. Zhu, D. Wang, and Y. Fang, IEEE Wireless Communications, 2022
[TMC] Timeliness-Aware Incentive Mechanism for Vehicular Crowdsourcing in Smart Cities X. Chen, L. Zhang, Y. Pang, B. Lin, and Y. Fang, IEEE Transactions on Mobile Computing, 2022
[TNSE] Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach X. Chen, G. Zhu, L. Zhang, Y. Fang, L. Guo, and X. Chen, IEEE Transactions on Network Science and Engineering, 2021
[WCM] When Full Duplex Wireless Meets Non-Orthogonal Multiple Access: Opportunities and Challenges X. Chen, G. Liu, Z. Ma, X. Zhang, P. Fan, S. Chen, and F. R. Yu, IEEE Wireless Communications, 2019
[TWC] Optimal Power Allocations for Non-Orthogonal Multiple Access Over 5G Full/Half-Duplex Relaying Mobile Wireless Networks X. Chen, G. Liu, Z. Ma, X. Zhang, W. Xu, and P. Fan, IEEE Transactions on Wireless Communications, 2018