Mr Chang Liu
Postdoctoral Fellow

Mr Chang Liu

Engineering
Electrical Engineering and Telecommunications

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

  • Journal articles | 2023
    Liu C; Li S; Yuan W; Liu X; Ng DWK, 2023, 'Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach', IEEE Journal on Selected Areas in Communications, 41, pp. 2245 - 2260, http://dx.doi.org/10.1109/JSAC.2023.3280984
    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 | 2023
    Wei Z; Liu F; Liu C; Yang Z; Ng DWK; Schober R, 2023, 'Integrated Sensing, Navigation, and Communication for Secure UAV Networks with a Mobile Eavesdropper', IEEE Transactions on Wireless Communications, http://dx.doi.org/10.1109/TWC.2023.3337148
    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, 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
  • Conference Papers | 2023
    Chen J; Yuan Q; Zhang S; Liu C, 2023, 'Data-Driven OTFS Channel Estimation Based on Gated Recurrent Convolutional Autoencoder', in 22nd International Symposium on Communications and Information Technologies, ISCIT 2023, pp. 7 - 12, http://dx.doi.org/10.1109/ISCIT57293.2023.10376091
    Conference Papers | 2023
    Liu C; Li S; Yuan W; Liu X; Ng DWK, 2023, 'Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC', in IEEE International Conference on Communications, pp. 5651 - 5657, http://dx.doi.org/10.1109/ICC45041.2023.10278742
    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 | 2023
    Lu Q; Xu R; Liu C; Li S; Bai B, 2023, 'An Unequal Error Protection-based Coded Transmission for Federated Learning', in 2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023, http://dx.doi.org/10.1109/ICCCWorkshops57813.2023.10233736
    Conference Papers | 2023
    Xu D; Liu C; Song S; Kwan Ng DW, 2023, 'Integrated Sensing and Communication in Coordinated Cellular Networks', in IEEE Workshop on Statistical Signal Processing Proceedings, pp. 90 - 94, http://dx.doi.org/10.1109/SSP53291.2023.10207991
    Conference Papers | 2023
    Zhang X; Yuan W; Liu C; Wu J; Li Z, 2023, 'Deep Learning-Based Cramér-Rao Bound Optimization for Integrated Sensing and Communication in Vehicular Networks', in IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, pp. 646 - 650, http://dx.doi.org/10.1109/SPAWC53906.2023.10304366
    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, 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, pp. 2651 - 2657, 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, pp. 1948 - 1954, 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, 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 Proceedings - IEEE Global Communications Conference, GLOBECOM, 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