| Unsupervised learning-based fast beamforming design for downlink MIMO H Huang, W Xia, J Xiong, J Yang, G Zheng, X Zhu IEEE Access 7, 7599-7605, 2018 | 177 | 2018 |
| A deep learning framework for optimization of MISO downlink beamforming W Xia, G Zheng, Y Zhu, J Zhang, J Wang, AP Petropulu IEEE Transactions on Communications 68 (3), 1866-1880, 2019 | 175 | 2019 |
| Fast beamforming design via deep learning H Huang, Y Peng, J Yang, W Xia, G Gui IEEE Transactions on Vehicular Technology 69 (1), 1065-1069, 2019 | 175 | 2019 |
| Multi-armed bandit-based client scheduling for federated learning W Xia, TQS Quek, K Guo, W Wen, HH Yang, H Zhu IEEE Transactions on Wireless Communications 19 (11), 7108-7123, 2020 | 133 | 2020 |
| Programmable hierarchical C-RAN: From task scheduling to resource allocation W Xia, TQS Quek, J Zhang, S Jin, H Zhu IEEE Transactions on Wireless Communications 18 (3), 2003-2016, 2019 | 38 | 2019 |
| Online learning based computation offloading in MEC systems with communication and computation dynamics K Guo, R Gao, W Xia, TQS Quek IEEE Transactions on Communications 69 (2), 1147-1162, 2020 | 33 | 2020 |
| Large system analysis of resource allocation in heterogeneous networks with wireless backhaul W Xia, J Zhang, S Jin, CK Wen, F Gao, H Zhu IEEE Transactions on communications 65 (11), 5040-5053, 2017 | 25 | 2017 |
| Mobile edge cloud-based industrial internet of things: Improving edge intelligence with hierarchical SDN controllers W Xia, J Zhang, TQS Quek, S Jin, H Zhu IEEE Vehicular Technology Magazine 15 (1), 36-45, 2020 | 21 | 2020 |
| Power minimization-based joint task scheduling and resource allocation in downlink C-RAN W Xia, J Zhang, TQS Quek, S Jin, H Zhu IEEE Transactions on Wireless Communications 17 (11), 7268-7280, 2018 | 21 | 2018 |
| Federated-learning-based client scheduling for low-latency wireless communications W Xia, W Wen, KK Wong, TQS Quek, J Zhang, H Zhu IEEE Wireless Communications 28 (2), 32-38, 2021 | 20 | 2021 |
| A novel handoff algorithm for hierarchical cellular networks X Zhu, M Li, W Xia, H Zhu China Communications 13 (8), 136-147, 2016 | 19 | 2016 |
| Deep learning based beamforming neural networks in downlink MISO systems W Xia, G Zheng, Y Zhu, J Zhang, J Wang, AP Petropulu 2019 IEEE International Conference on Communications Workshops (ICC …, 2019 | 18 | 2019 |
| Online client scheduling for fast federated learning B Xu, W Xia, J Zhang, TQS Quek, H Zhu IEEE Wireless Communications Letters 10 (7), 1434-1438, 2021 | 17 | 2021 |
| Model-driven beamforming neural networks W Xia, G Zheng, KK Wong, H Zhu IEEE Wireless Communications 27 (1), 68-75, 2020 | 16 | 2020 |
| Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration J Zhang, W Xia, M You, G Zheng, S Lambotharan, KK Wong IEEE Transactions on Wireless Communications 19 (6), 3738-3752, 2020 | 15 | 2020 |
| Dynamic client association for energy-aware hierarchical federated learning B Xu, W Xia, J Zhang, X Sun, H Zhu 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021 | 13 | 2021 |
| Joint optimization of fronthaul compression and bandwidth allocation in uplink H-CRAN with large system analysis W Xia, J Zhang, TQS Quek, S Jin, H Zhu IEEE Transactions on Communications 66 (12), 6556-6569, 2018 | 12 | 2018 |
| Bandwidth allocation in heterogeneous networks with wireless backhaul W Xia, J Zhang, S Jin, CK Wen, F Gao, H Zhu 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 10 | 2016 |
| Secure transmission in cell-free massive MIMO with low-resolution DACs over Rician fading channels Y Zhang, W Xia, G Zheng, H Zhao, L Yang, H Zhu IEEE Transactions on Communications 70 (4), 2606-2621, 2022 | 8 | 2022 |
| A reconfigurable intelligent surface aided dual-function radar and communication system S Yan, S Cai, W Xia, J Zhang, S Xia 2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC …, 2022 | 7 | 2022 |
Tony Q.S. QuekFull Professor and ISTD Pillar Head, SUTDVerified email at ieee.org
