| Toward Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee S Wang, Y Xu, Y Yuan, TQS Quek IEEE Transactions on Wireless Communications 23 (2), 1170-1183, 2024 | | 2024 |
| Hierarchical Sparse Estimation of Non-Stationary Channel for Uplink Massive MIMO Systems C Tan, D Cai, F Fang, J Shan, Y Xu, Z Ding, P Fan GLOBECOM 2023-2023 IEEE Global Communications Conference, 6640-6645, 2023 | 1 | 2023 |
| Threshold-enhanced hierarchical spatial non-stationary channel estimation for uplink massive mimo systems C Tan, D Cai, Y Xu, Z Ding, P Fan IEEE Transactions on wireless communications, 2023 | 1 | 2023 |
| Low-complexity channel estimation for massive MIMO systems with decentralized baseband processing Y Xu, B Wang, E Song, Q Shi, TH Chang IEEE Transactions on Signal Processing, 2023 | 3 | 2023 |
| Image Processing Method, Electronic Device, Image Processing System, and Chip System Y Xu, S Wang US Patent App. 18/007,141, 2023 | | 2023 |
| Beyond ADMM: a unified client-variance-reduced adaptive federated learning framework S Wang, Y Xu, Z Wang, TH Chang, TQS Quek, D Sun Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10175 …, 2023 | 4 | 2023 |
| Towards fast personalized semi-supervised federated learning in edge networks: Algorithm design and theoretical guarantee S Wang, Y Xu, Y Yuan, TQS Quek IEEE Transactions on Wireless Communications, 2023 | 2 | 2023 |
| Sparse aggregation-based channel estimation for massive MIMO systems with decentralized baseband processing Y Xu, E Song, Q Shi, TH Chang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction S Wang, Y Xu, Y Yuan, X Wang, TQS Quek ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Approaching Centralized Multi-cell Coordinated Beamforming with Limited Backhaul Signaling T Cai, S Ge, Y Xu, TH Chang ICC 2023-IEEE International Conference on Communications, 3559-3564, 2023 | 2 | 2023 |
| CSI sensing from heterogeneous user feedbacks: A constrained phase retrieval approach L Li, X Zeng, YF Liu, Y Xu, TH Chang IEEE Transactions on Wireless Communications, 2023 | 5 | 2023 |
| Active device detection and performance analysis of massive non-orthogonal transmissions in cellular internet of things D Cai, P Fan, Q Zou, Y Xu, Z Ding, Z Liu Science China information sciences 65 (8), 182301, 2022 | 25 | 2022 |
| Quantized federated learning under transmission delay and outage constraints Y Wang, Y Xu, Q Shi, TH Chang IEEE Journal on Selected Areas in Communications 40 (1), 323-341, 2021 | 75 | 2021 |
| Robust federated learning in wireless channels with transmission outage and quantization errors Y Wang, Y Xu, Q Shi, TH Chang 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 5 | 2021 |
| Active user and data detection for uplink grant-free NOMA systems D Cai, J Wen, P Fan, Y Xu, L Yu China Communications 17 (11), 12-28, 2020 | 13 | 2020 |
| Energy-efficient design of IRS-NOMA networks F Fang, Y Xu, QV Pham, Z Ding IEEE Transactions on Vehicular Technology 69 (11), 14088-14092, 2020 | 239 | 2020 |
| Optimal resource allocation for delay minimization in NOMA-MEC networks F Fang, Y Xu, Z Ding, C Shen, M Peng, GK Karagiannidis IEEE Transactions on Communications 68 (12), 7867-7881, 2020 | 165 | 2020 |
| Latency constrained non-orthogonal packets scheduling with finite blocklength codes Y Xu, C Shen, D Cai, G Zhu IEEE Transactions on Vehicular Technology 69 (10), 12312-12316, 2020 | 30 | 2020 |
| Intelligent user clustering and robust beamforming design for UAV-NOMA downlink Y Xu, F Fang, D Cai, Y Yuan arXiv preprint arXiv:2006.05852, 2020 | 6 | 2020 |
| Outage constrained power efficient design for downlink NOMA systems with partial HARQ Y Xu, D Cai, F Fang, Z Ding, C Shen, G Zhu IEEE Transactions on Communications 68 (8), 5188-5201, 2020 | 33* | 2020 |
Zhiguo DingKhalifa University and University of Manchester, Fellow of IEEE, Web of Science Highly Cited在 manchester.ac.uk 的电子邮件经过验证
