| Hybrid half-duplex/full-duplex cooperative non-orthogonal multiple access with transmit power adaptation G Liu, X Chen, Z Ding, Z Ma, FR Yu IEEE Transactions on Wireless Communications 17 (1), 506-519, 2017 | 135 | 2017 |
| Pushing large language models to the 6g edge: Vision, challenges, and opportunities Z Lin, G Qu, Q Chen, X Chen, Z Chen, K Huang arXiv preprint arXiv:2309.16739, 2023 | 96 | 2023 |
| Efficient parallel split learning over resource-constrained wireless edge networks Z Lin, G Zhu, Y Deng, X Chen, Y Gao, K Huang, Y Fang IEEE Transactions on Mobile Computing 23 (10), 9224-9239, 2024 | 93 | 2024 |
| Split learning in 6G edge networks Z Lin, G Qu, X Chen, K Huang IEEE Wireless Communications, 2024 | 68 | 2024 |
| 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, P Fan IEEE transactions on Wireless communications 18 (1), 77-92, 2018 | 54 | 2018 |
| Fedsn: A federated learning framework over heterogeneous leo satellite networks Z Lin, Z Chen, Z Fang, X Chen, X Wang, Y Gao IEEE Transactions on Mobile Computing, 2024 | 51* | 2024 |
| 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, Y Fang IEEE Communications Surveys & Tutorials, 2024 | 44 | 2024 |
| Adaptsfl: Adaptive split federated learning in resource-constrained edge networks Z Lin, G Qu, W Wei, X Chen, KK Leung arXiv preprint arXiv:2403.13101, 2024 | 42 | 2024 |
| Federated learning over multihop wireless networks with in-network aggregation X Chen, G Zhu, Y Deng, Y Fang IEEE Transactions on Wireless Communications 21 (6), 4622-4634, 2022 | 42 | 2022 |
| Automated federated pipeline for parameter-efficient fine-tuning of large language models Z Fang, Z Lin, Z Chen, X Chen, Y Gao, Y Fang arXiv preprint arXiv:2404.06448, 2024 | 38 | 2024 |
| Throughput maximization for multiedge multiuser edge computing systems Y Deng, Z Chen, X Chen, Y Fang IEEE Internet of Things Journal 9 (1), 68-79, 2021 | 37 | 2021 |
| Actions at the edge: Jointly optimizing the resources in multi-access edge computing Y Deng, X Chen, G Zhu, Y Fang, Z Chen, X Deng IEEE wireless communications 29 (2), 192-198, 2022 | 33 | 2022 |
| Power allocation for full-duplex cooperative non-orthogonal multiple access systems X Chen, G Liu, Z Ding, FR Yu, P Fan GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 33 | 2017 |
| Cross-layer power allocation in nonorthogonal multiple access systems for statistical QoS provisioning G Liu, Z Ma, X Chen, Z Ding, FR Yu, P Fan IEEE Transactions on Vehicular Technology 66 (12), 11388-11393, 2017 | 32 | 2017 |
| Mobile edge intelligence for large language models: A contemporary survey G Qu, Q Chen, W Wei, Z Lin, X Chen, K Huang IEEE Communications Surveys & Tutorials, 2025 | 31 | 2025 |
| Timeliness-aware incentive mechanism for vehicular crowdsourcing in smart cities X Chen, L Zhang, Y Pang, B Lin, Y Fang IEEE Transactions on Mobile Computing 21 (9), 3373-3387, 2021 | 31 | 2021 |
| When full duplex wireless meets non-orthogonal multiple access: Opportunities and challenges X Chen, G Liu, Z Ma, X Zhang, P Fan, S Chen, FR Yu IEEE Wireless Communications 26 (4), 148-155, 2019 | 28 | 2019 |
| Collaborative perception for connected and autonomous driving: Challenges, possible solutions and opportunities S Hu, Z Fang, Y Deng, X Chen, Y Fang arXiv preprint arXiv:2401.01544, 2024 | 25 | 2024 |
| Task offloading in multi-hop relay-aided multi-access edge computing Y Deng, Z Chen, X Chen, Y Fang IEEE Transactions on Vehicular Technology 72 (1), 1372-1376, 2022 | 25 | 2022 |
| Optimal resource allocation for U-shaped parallel split learning S Lyu, Z Lin, G Qu, X Chen, X Huang, P Li 2023 IEEE Globecom Workshops (GC Wkshps), 197-202, 2023 | 24 | 2023 |
Yuguang "Michael" Fang, FAAAS, FAC...Chair Professor of Internet of Things, Department of Computer Science, City University of Hong Kongایمیل تأیید شده در cityu.edu.hk
