By Dr Chang Liu

Journal articles

Lu X; Yan S; Yang W; Liu C; Ng DWK, 2023, 'Short-Packet Covert Communication in Interweave Cognitive Radio Networks', IEEE Transactions on Vehicular Technology, vol. 72, pp. 2649 - 2654, http://dx.doi.org/10.1109/TVT.2022.3210991

Cai Y; Wei Z; Hu S; Liu C; Ng DWK; Yuan J, 2022, 'Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications', IEEE Transactions on Wireless Communications, vol. 21, pp. 10315 - 10334, http://dx.doi.org/10.1109/TWC.2022.3183300

Liu C; Yuan W; Li S; Liu X; Li H; Ng DWK; Li Y, 2022, 'Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks', IEEE Journal on Selected Areas in Communications, vol. 40, pp. 2317 - 2334, http://dx.doi.org/10.1109/JSAC.2022.3180803

Li S; Yuan W; Liu C; Wei Z; Yuan J; Bai B; Ng DWK, 2022, 'A Novel ISAC Transmission Framework Based on Spatially-Spread Orthogonal Time Frequency Space Modulation', IEEE Journal on Selected Areas in Communications, vol. 40, pp. 1854 - 1872, http://dx.doi.org/10.1109/JSAC.2022.3155538

Liu C; Liu X; Ng DWK; Yuan J, 2022, 'Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications', IEEE Transactions on Wireless Communications, vol. 21, pp. 898 - 912, http://dx.doi.org/10.1109/TWC.2021.3100148

Zhang Q; Ge L; Zhang R; Metternicht GI; Liu C; Du Z, 2021, 'Towards a deep-learning-based framework of sentinel-2 imagery for automated active fire detection', Remote Sensing, vol. 13, pp. 4790 - 4790, http://dx.doi.org/10.3390/rs13234790

Hu S; Wei Z; Cai Y; Liu C; Ng DWK; Yuan J, 2021, 'Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-Sustainable IRS', IEEE Transactions on Communications, vol. 69, pp. 7032 - 7049, http://dx.doi.org/10.1109/TCOMM.2021.3097140

Liu C; Yuan W; Li S; Liu X; Li H; Ng DWK; Li Y, 2021, 'Learning-based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks', , http://arxiv.org/abs/2108.11540v2

Liu C; Liu X; Wei Z; Hu S; Ng DWK; Yuan J, 2021, 'Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications', , http://arxiv.org/abs/2104.12309v1

Chen J; Liu J; Liu C; Zhang J; Han B, 2021, 'Underwater Target Recognition based on Multi-Decision LOFAR Spectrum Enhancement: A Deep Learning Approach', , http://arxiv.org/abs/2104.12362v1

Liu C; Wei Z; Ng DWK; Yuan J; Liang YC, 2021, 'Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications', IEEE Transactions on Wireless Communications, vol. 20, pp. 1624 - 1638, http://dx.doi.org/10.1109/TWC.2020.3034895

Liu C; Yuan W; Wei Z; Liu X; Ng DWK, 2021, 'Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach', IEEE Wireless Communications Letters, vol. 10, pp. 668 - 672, http://dx.doi.org/10.1109/LWC.2020.3045150

Liu X; Liu C; Li Y; Vucetic B; Ng DWK, 2021, 'Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications', IEEE Wireless Communications Letters, vol. 10, pp. 339 - 343, http://dx.doi.org/10.1109/LWC.2020.3030222

Liu C; Liu X; Wei Z; Kwan Ng DW; Yuan J; Liang YC, 2020, 'Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications', 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, vol. 2020-January, http://dx.doi.org/10.1109/GLOBECOM42002.2020.9348274

Yuan W; Liu C; Liu F; Li S; Ng DWK, 2020, 'Learning-Based Predictive Beamforming for UAV Communications with Jittering', IEEE Wireless Communications Letters, vol. 9, pp. 1970 - 1974, http://dx.doi.org/10.1109/LWC.2020.3009951

Xie J; Fang J; Liu C; Li X, 2020, 'Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach', IEEE Communications Letters, vol. 24, pp. 2196 - 2200, http://dx.doi.org/10.1109/LCOMM.2020.3002073

Xie J; Fang J; Liu C; Yang L, 2020, 'Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach', IEEE Transactions on Vehicular Technology, vol. 69, pp. 5307 - 5319, http://dx.doi.org/10.1109/TVT.2020.2982203

Liu C; Wang J; Liu X; Liang YC, 2019, 'Deep CM-CNN for Spectrum Sensing in Cognitive Radio', IEEE Journal on Selected Areas in Communications, vol. 37, pp. 2306 - 2321, http://dx.doi.org/10.1109/JSAC.2019.2933892

Liu C; Wang J; Liu X; Liang Y-C, 2019, 'Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio', IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 68, pp. 7747 - 7760, http://dx.doi.org/10.1109/TVT.2019.2923648

Xie J; Liu C; Liang YC; Fang J, 2019, 'Activity Pattern Aware Spectrum Sensing: A CNN-Based Deep Learning Approach', IEEE Communications Letters, vol. 23, pp. 1025 - 1028, http://dx.doi.org/10.1109/LCOMM.2019.2910176

Zhang X; Zhang Y; Liu C; Jia H, 2018, 'Low-Complexity Detection Algorithms for Spatial Modulation MIMO Systems', JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, vol. 2018, http://dx.doi.org/10.1155/2018/4034625

Liu C; Li H; Wang J; Jin M, 2017, 'Optimal eigenvalue weighting detection for multi-antenna cognitive radio networks', IEEE Transactions on Wireless Communications, vol. 16, pp. 2083 - 2096, http://dx.doi.org/10.1109/TWC.2016.2632711

Liu C; Li H; Jin M, 2016, 'Blind Central-Symmetry-Based Feature Detection for Spatial Spectrum Sensing', IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 65, pp. 10147 - 10152, http://dx.doi.org/10.1109/TVT.2016.2550608

Chen J; Liu C; Li H; Li X; Li S, 2016, 'A Categorized Resource Sharing Mechanism for Device-to-Device Communications in Cellular Networks', Mobile Information Systems, vol. 2016, http://dx.doi.org/10.1155/2016/5894752

Liu C; Li M; Jin M-L, 2015, 'Blind Energy-Based Detection for Spatial Spectrum Sensing', IEEE WIRELESS COMMUNICATIONS LETTERS, vol. 4, pp. 98 - 101, http://dx.doi.org/10.1109/LWC.2014.2377233

Conference Papers

Hu S; Liu C; Wei Z; Cai Y; Kwan Ng DW; Yuan J, 2022, 'Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems', in IEEE International Conference on Communications, IEEE, pp. 2651 - 2657, presented at ICC 2022 - IEEE International Conference on Communications, 16 May 2022 - 20 May 2022, http://dx.doi.org/10.1109/ICC45855.2022.9838902

Liu C; Yuan W; Li S; Liu X; Ng DWK; Li Y, 2022, 'Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach', in IEEE International Conference on Communications, IEEE, pp. 1948 - 1954, presented at ICC 2022 - IEEE International Conference on Communications, 16 May 2022 - 20 May 2022, http://dx.doi.org/10.1109/ICC45855.2022.9839000

Cai Y; Yuan W; Wei Z; Liu C; Hu S; Kwan Ng DW, 2022, 'Trajectory Design and Resource Allocation for UAV-Enabled Data Collection in Wireless Sensor Networks with 3D Blockages', in 2022 1st International Conference on 6G Networking, 6GNet 2022, IEEE, presented at 2022 1st International Conference on 6G Networking (6GNet), 06 July 2022 - 08 July 2022, http://dx.doi.org/10.1109/6GNet54646.2022.9830200

Liu C; Liu X; Kwan Ng DW; Yuan J, 2021, 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems', in IEEE International Conference on Communications, IEEE, http://dx.doi.org/10.1109/ICC42927.2021.9500708

Preprints

Liu C; Li S; Yuan W; Liu X; Ng DWK, 2022, Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach, http://arxiv.org/abs/2212.13651v1

Liu C; Liu X; Wei Z; Ng DWK; Schober R, 2022, Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach, http://arxiv.org/abs/2211.12644v1

Liu C; Liu X; Li S; Yuan W; Ng DWK, 2022, Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks, http://arxiv.org/abs/2209.12368v1

Chen J; Liu C; Xie J; An J; Huang N, 2022, Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation, http://arxiv.org/abs/2202.04405v1

Liu C; Yuan W; Li S; Liu X; Ng DWK; Li Y, 2022, Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach, http://arxiv.org/abs/2202.03811v1

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