Mr Chang Liu

Back to

Chang Liu received the Ph.D. degree in signal and information processing from Dalian University of Technology, China, in 2017 and was a joint Ph.D. from the University of Tennessee, Knoxville, USA. He was a postdoctoral research fellow with the University of Electronic Science and Technology of China. He is currently a Research Fellow with the University of New South Wales, Sydney, Australia. To date, he has published more than 40 journal and conference papers and 4 journal papers were listed among the top 50 popular papers ranked by IEEE Xplore. He is currently serving as a Lead Guest Editor of Future Internet and a foundation member of IEEE Comsoc special interest group on orthogonal time frequency space (OTFS).

His research interests include machine learning for communications, integrated sensing and communication (ISAC), OTFS, intelligent reflecting surface (IRS)-assisted communications, unmanned aerial vehicle (UAV) communications, Internet of Things (IoT), and cognitive radio.

Personal homepage: https://cliuwcom.weebly.com

E-mail

chang.liu19@unsw.edu.au

Journal articles | 2023

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, 72, pp. 2649 - 2654, http://dx.doi.org/10.1109/TVT.2022.3210991

Journal articles | 2022

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, 21, pp. 10315 - 10334, http://dx.doi.org/10.1109/TWC.2022.3183300

Journal articles | 2022

Chen J; Liu C; Xie J; An J; Huang N, 2022, 'Time–Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation', Sensors, 22, http://dx.doi.org/10.3390/s22155598

Journal articles | 2022

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, 40, pp. 1854 - 1872, http://dx.doi.org/10.1109/JSAC.2022.3155538

Journal articles | 2022

Liu C; Liu X; Li S; Yuan W; Ng DWK, 2022, 'Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks', Journal of Communications and Information Networks, 7, pp. 269 - 277, http://dx.doi.org/10.23919/JCIN.2022.9906941

Journal articles | 2022

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, 21, pp. 898 - 912, http://dx.doi.org/10.1109/TWC.2021.3100148

Journal articles | 2022

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, 40, pp. 2317 - 2334, http://dx.doi.org/10.1109/JSAC.2022.3180803

Journal articles | 2021

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

Journal articles | 2021

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, 69, pp. 7032 - 7049, http://dx.doi.org/10.1109/TCOMM.2021.3097140

Journal articles | 2021

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

Journal articles | 2021

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, 20, pp. 1624 - 1638, http://dx.doi.org/10.1109/TWC.2020.3034895

Journal articles | 2021

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

Journal articles | 2021

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, 10, pp. 668 - 672, http://dx.doi.org/10.1109/LWC.2020.3045150

Journal articles | 2021

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, 10, pp. 339 - 343, http://dx.doi.org/10.1109/LWC.2020.3030222

Journal articles | 2021

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, 13, pp. 4790 - 4790, http://dx.doi.org/10.3390/rs13234790

Journal articles | 2020

Li H; Zhao W; Liu C; Jin M; Yoo SJ, 2020, 'A novel goodness of fit test spectrum sensing using extreme eigenvalues', Chinese Journal of Electronics, 29, pp. 1201 - 1206, http://dx.doi.org/10.1049/cje.2020.10.007

Journal articles | 2020

Li H; Zhao W; Luo X; Liu C; Zou D; Jin M, 2020, 'Research of spectrum sensing algorithm based on goodness-of-fit test with eigenvalues', Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology, 60, pp. 635 - 641, http://dx.doi.org/10.7511/dllgxb202006011

Journal articles | 2020

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, 2020-January, http://dx.doi.org/10.1109/GLOBECOM42002.2020.9348274

Journal articles | 2020

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

Journal articles | 2020

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

Journal articles | 2020

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

Journal articles | 2019

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, 37, pp. 2306 - 2321, http://dx.doi.org/10.1109/JSAC.2019.2933892

Journal articles | 2019

Liu C; Wang J; Liu X; Liang YC, 2019, 'Maximum eigenvalue-based goodness-of-fit detection for spectrum sensing in cognitive radio', IEEE Transactions on Vehicular Technology, 68, pp. 7747 - 7760, http://dx.doi.org/10.1109/TVT.2019.2923648

Journal articles | 2019

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

Journal articles | 2018

Carie A; Li M; Liu C; Reddy P; Jamal W, 2018, 'Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control', Future Generation Computer Systems, 81, pp. 340 - 347, http://dx.doi.org/10.1016/j.future.2017.11.014

Journal articles | 2018

Liu A; Yin H; Wu B; Liu C, 2018, 'Phase-Shift Characteristics of Radio Frequency Signals for Radio over Fiber Transmission Systems', Guangxue Xuebao/Acta Optica Sinica, 38, http://dx.doi.org/10.3788/AOS201838.0506003

Journal articles | 2018

Zhang X; Zhang Y; Liu C; Jia H, 2018, 'Low-Complexity Detection Algorithms for Spatial Modulation MIMO Systems', Journal of Electrical and Computer Engineering, 2018, http://dx.doi.org/10.1155/2018/4034625

Journal articles | 2018

Zhao W; Liu C; Liu W; Jin M, 2018, 'Maximum Eigenvalue Based Radar Signal Detection Method for K Distribution Sea Clutter Environment', Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 40, pp. 2235 - 2241, http://dx.doi.org/10.11999/JEIT171092

Journal articles | 2018

Zhao W; Liu C; Liu W; Jin M, 2018, 'Maximum eigenvalue-based target detection for the K-distributed clutter environment', IET Radar, Sonar and Navigation, 12, pp. 1294 - 1306, http://dx.doi.org/10.1049/iet-rsn.2018.5229

Journal articles | 2017

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

Journal articles | 2017

Qin J; Zhao Q; Yin H; Jin Y; Liu C, 2017, 'Numerical Simulation and Experiment on Optical Packet Header Recognition Utilizing Reservoir Computing Based on Optoelectronic Feedback', IEEE Photonics Journal, 9, http://dx.doi.org/10.1109/JPHOT.2017.2658028

Journal articles | 2017

Wu B; Yin H; Liu A; Liu C; Xing F, 2017, 'Investigation and System Implementation of Flexible Bandwidth Switching for a Software-Defined Space Information Network', IEEE Photonics Journal, 9, http://dx.doi.org/10.1109/JPHOT.2017.2705134

Journal articles | 2016

Ali SS; Liu C; Liu J; Jin M; Kim JM, 2016, 'On the Eigenvalue Based Detection for Multiantenna Cognitive Radio System', Mobile Information Systems, 2016, http://dx.doi.org/10.1155/2016/3848734

Journal articles | 2016

Anamalamudi S; Jin M; Kim JM; Liu C, 2016, 'On Demand Priority Packet Forwarding for TCP Performance Enhancement in Cognitive Mobile IP Networks', Wireless Personal Communications, 86, pp. 1947 - 1970, http://dx.doi.org/10.1007/s11277-015-3132-5

Journal articles | 2016

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, 2016, http://dx.doi.org/10.1155/2016/5894752

Journal articles | 2016

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

Journal articles | 2016

Wu B; Yin H; Qin J; Liu C; Liu A; Shao Q; Xu X, 2016, 'Design and implementation of flexible TWDM-PON with PtP WDM overlay based on WSS for next-generation optical access networks', Modern Physics Letters B, 30, http://dx.doi.org/10.1142/S0217984916503243

Journal articles | 2015

Liu C; Ali SS; Zhang R; Li SY; Wang J; Jin ML, 2015, 'Spatial spectrum based blind spectrum sensing for multi-antenna cognitive radio system', Tongxin Xuebao/Journal on Communications, 36, http://dx.doi.org/10.11959/j.issn.1000-436x.2015087

Journal articles | 2015

Liu C; Li M; Jin ML, 2015, 'Blind energy-based detection for spatial spectrum sensing', IEEE Wireless Communications Letters, 4, pp. 98 - 101, http://dx.doi.org/10.1109/LWC.2014.2377233

Journal articles | 2015

Yu M; Zhang Y; Liu C; Zhang D, 2015, 'Anomaly detection of virtual machines based on multi-attribute entropy in cloud computing environments', Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 43, pp. 63 - 67, http://dx.doi.org/10.13245/j.hust.150512

Journal articles | 2014

Ali SS; Liu C; Jin M, 2014, 'Minimum eigenvalue detection for spectrum sensing in cognitive radio', International Journal of Electrical and Computer Engineering, 4, pp. 623 - 630, http://dx.doi.org/10.11591/ijece.v4i4.6226

Journal articles | 2014

Anamalamudi S; Liu C; Jin M, 2014, 'Energy efficient CCC based AODV routing protocol for cognitive radio ad-hoc networks', Journal of Communications, 9, pp. 107 - 117, http://dx.doi.org/10.12720/jcm.9.2.107-117
Preprints | 2023

Liu C; Li S; Yuan W; Liu X; Ng DWK, 2023, Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC, , http://arxiv.org/abs/2304.10723v1

Conference Papers | 2022

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

Preprints | 2022

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

Conference Papers | 2022

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

Preprints | 2022

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

Preprints | 2022

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

Preprints | 2022

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

Conference Papers | 2022

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

Preprints | 2022

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

Conference Papers | 2022

Zhang X; Yuan W; Liu C; Liu F; Wen M, 2022, 'Deep Learning with a Self-Adaptive Threshold for OTFS Channel Estimation', in Proceedings of the International Symposium on Wireless Communication Systems, http://dx.doi.org/10.1109/ISWCS56560.2022.9940260

Conference Papers | 2022

Zhang X; Yuan W; Liu C, 2022, 'Deep Residual Learning for OTFS Channel Estimation with Arbitrary Noise', in 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022, pp. 320 - 324, http://dx.doi.org/10.1109/ICCCWorkshops55477.2022.9896721

Conference Papers | 2021

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 | 2021

Liu C; Liu X; Ng DWK; Yuan J, 2021, Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications, , http://dx.doi.org/10.36227/techrxiv.13774339

Conference Papers | 2021

Liu C; Liu X; Wei Z; Hu S; Kwan Ng DW; Yuan J, 2021, 'Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications', in 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings, IEEE, presented at GLOBECOM 2021 - 2021 IEEE Global Communications Conference, 07 December 2021 - 11 December 2021, http://dx.doi.org/10.1109/GLOBECOM46510.2021.9685274

Conference Papers | 2020

Liu C; Wang Z; Wu S; Wu S; Xiao K, 2020, 'Regression Task on Big Data with Convolutional Neural Network', in Advances in Intelligent Systems and Computing, pp. 52 - 58, http://dx.doi.org/10.1007/978-3-030-14118-9_6

Conference Papers | 2020

Wang Z; Wu S; Liu C; Wu S; Xiao K, 2020, 'The Regression of MNIST Dataset Based on Convolutional Neural Network', in Advances in Intelligent Systems and Computing, pp. 59 - 68, http://dx.doi.org/10.1007/978-3-030-14118-9_7

Conference Papers | 2020

Wu S; Liu C; Wang Z; Wu S; Xiao K, 2020, 'Regression with Support Vector Machines and VGG Neural Networks', in Advances in Intelligent Systems and Computing, pp. 301 - 311, http://dx.doi.org/10.1007/978-3-030-14118-9_30

Conference Papers | 2019

Liu C; Liu X; Liang YC, 2019, 'Deep CNN for Spectrum Sensing in Cognitive Radio', in IEEE International Conference on Communications, http://dx.doi.org/10.1109/ICC.2019.8761360

Conference Papers | 2019

Liu C; Wu S; Wu S; Wang Z; Xiao K, 2019, 'Reliable Automatic Organ Segmentation from CT Images using Deep CNN', in Proceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019, pp. 368 - 374, http://dx.doi.org/10.1109/QRS-C.2019.00075

Conference Papers | 2019

Meng S; Dai Y; Luo L; Liu C, 2019, 'Reliability Modeling and Optimization for Large-Scale Network Systems', in Proceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019, pp. 528 - 529, http://dx.doi.org/10.1109/QRS-C.2019.00108

Conference Papers | 2019

Wu S; Wang Z; Liu C; Zhu C; Wu S; Xiao K, 2019, 'Automatical Segmentation of Pelvic Organs after Hysterectomy by using Dilated Convolution U-Net++', in Proceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019, pp. 362 - 367, http://dx.doi.org/10.1109/QRS-C.2019.00074

Conference Papers | 2017

Ali SS; Liu C; Liu J; Jin M; Yoo SJ; Kim JM, 2017, 'A blind weighted MUSIC based detection for spatial spectrum sensing', in International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017, pp. 480 - 485, http://dx.doi.org/10.1109/ICTC.2017.8191024

Conference Papers | 2017

Liu C; Li H; Wang J; Jin M; Kim JM, 2017, 'Uncertainty principle based spatial-temporal resolution tradeoff for cognitive radio networks', in IEEE International Conference on Communications, http://dx.doi.org/10.1109/ICC.2017.7997385

Conference Papers | 2017

Liu C; Liu A; Wu B; Yin H, 2017, 'Design and implementation of IFoF high-speed full-duplex system based on 28GHz base-station', in 2017 9th IEEE International Conference on Communication Software and Networks, ICCSN 2017, pp. 1 - 4, http://dx.doi.org/10.1109/ICCSN.2017.8230067

Conference Papers | 2016

Chen J; Li X; Li H; Liu C; Li S, 2016, 'Pooling based coexistence scheme for D2D communication underlaying cellular networks', in 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, http://dx.doi.org/10.1109/GLOCOM.2016.7842152

Conference Papers | 2015

Liu C; Jin M, 2015, 'Maximum-minimum spatial spectrum detection for cognitive radio using parasitic antenna arrays', in 2014 IEEE/CIC International Conference on Communications in China, ICCC 2014, pp. 365 - 369, http://dx.doi.org/10.1109/ICCChina.2014.7008303

Conference Papers | 2014

Liu C; Yu M; Zhang Y, 2014, 'A nonparametric multivariate method for performance analysis of virtual machines in cloud computing systems', in Proceedings of the IASTED International Conference on Modelling, Identification and Control, pp. 95 - 98, http://dx.doi.org/10.2316/P.2014.809-048

Follow

Mr Chang Liu

Follow me