| Deep CM-CNN for spectrum sensing in cognitive radio C Liu, J Wang, X Liu, YC Liang IEEE Journal on Selected Areas in Communications 37 (10), 2306-2321, 2019 | 283 | 2019 |
| Deep residual learning for channel estimation in intelligent reflecting surface-assisted multi-user communications C Liu, X Liu, DWK Ng, J Yuan IEEE Transactions on Wireless Communications 21 (2), 898-912, 2021 | 261 | 2021 |
| Robust and secure sum-rate maximization for multiuser MISO downlink systems with self-sustainable IRS S Hu, Z Wei, Y Cai, C Liu, DWK Ng, J Yuan IEEE Transactions on Communications 69 (10), 7032-7049, 2021 | 229 | 2021 |
| Deep learning-based spectrum sensing in cognitive radio: A CNN-LSTM approach J Xie, J Fang, C Liu, X Li IEEE Communications Letters 24 (10), 2196-2200, 2020 | 179 | 2020 |
| Learning-based predictive beamforming for integrated sensing and communication in vehicular networks C Liu, W Yuan, S Li, X Liu, H Li, DWK Ng, Y Li IEEE Journal on Selected Areas in Communications 40 (8), 2317-2334, 2022 | 161 | 2022 |
| A novel ISAC transmission framework based on spatially-spread orthogonal time frequency space modulation S Li, W Yuan, C Liu, Z Wei, J Yuan, B Bai, DWK Ng IEEE Journal on Selected Areas in Communications 40 (6), 1854-1872, 2022 | 132 | 2022 |
| Deep transfer learning for signal detection in ambient backscatter communications C Liu, Z Wei, DWK Ng, J Yuan, YC Liang IEEE Transactions on Wireless Communications 20 (3), 1624-1638, 2020 | 128 | 2020 |
| Activity pattern aware spectrum sensing: A CNN-based deep learning approach J Xie, C Liu, YC Liang, J Fang IEEE Communications Letters 23 (6), 1025-1028, 2019 | 113 | 2019 |
| Learning-based predictive beamforming for UAV communications with jittering W Yuan, C Liu, F Liu, S Li, DWK Ng IEEE Wireless Communications Letters 9 (11), 1970-1974, 2020 | 92 | 2020 |
| Location-aware predictive beamforming for UAV communications: A deep learning approach C Liu, W Yuan, Z Wei, X Liu, DWK Ng IEEE Wireless Communications Letters 10 (3), 668-672, 2020 | 74 | 2020 |
| Unsupervised deep spectrum sensing: A variational auto-encoder based approach J Xie, J Fang, C Liu, L Yang IEEE Transactions on Vehicular Technology 69 (5), 5307-5319, 2020 | 69 | 2020 |
| Resource allocation and 3D trajectory design for power-efficient IRS-assisted UAV-NOMA communications Y Cai, Z Wei, S Hu, C Liu, DWK Ng, J Yuan IEEE Transactions on Wireless Communications 21 (12), 10315-10334, 2022 | 65 | 2022 |
| Blind energy-based detection for spatial spectrum sensing C Liu, M Li, ML Jin IEEE Wireless Communications Letters 4 (1), 98-101, 2014 | 62 | 2014 |
| Deep residual learning-assisted channel estimation in ambient backscatter communications X Liu, C Liu, Y Li, B Vucetic, DWK Ng IEEE Wireless Communications Letters 10 (2), 339-343, 2020 | 58 | 2020 |
| Optimal eigenvalue weighting detection for multi-antenna cognitive radio networks C Liu, H Li, J Wang, M Jin IEEE Transactions on Wireless Communications 16 (4), 2083-2096, 2016 | 58 | 2016 |
| Maximum eigenvalue-based goodness-of-fit detection for spectrum sensing in cognitive radio C Liu, J Wang, X Liu, YC Liang IEEE Transactions on Vehicular Technology 68 (8), 7747-7760, 2019 | 53 | 2019 |
| Predictive precoder design for OTFS-enabled URLLC: A deep learning approach C Liu, S Li, W Yuan, X Liu, DWK Ng IEEE Journal on Selected Areas in Communications 41 (7), 2245-2260, 2023 | 38 | 2023 |
| Deep residual network empowered channel estimation for IRS-assisted multi-user communication systems C Liu, X Liu, DWK Ng, J Yuan ICC 2021-IEEE International Conference on Communications, 1-7, 2021 | 36 | 2021 |
| Maximum eigenvalue‐based target detection for the K‐distributed clutter environment W Zhao, C Liu, W Liu, M Jin IET Radar, Sonar & Navigation 12 (11), 1294-1306, 2018 | 30 | 2018 |
| Minimum eigenvalue detection for spectrum sensing in cognitive radio SS Ali, C Liu, M Jin International Journal of Electrical and Computer Engineering 4 (4), 623, 2014 | 30 | 2014 |
Derrick Wing Kwan NgScientia Associate Professor, University of New South WalesE-mailová adresa ověřena na: unsw.edu.au