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Chang Liu 0003
Person information
- affiliation: University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia
- affiliation (former): University of Electronic Science and Technology of China (UESTC), National Key Laboratory of Science and Technology on Communications, Chengdu, China
- affiliation (PhD 2017): Dalian University of Technology, School of Information and Communication Engineering, China
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Chang Liu 0002
— Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China (and 2 more)
- Chang Liu 0004
— Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
- Chang Liu 0005
— Chengdu University, College of Information Science and Technology, Chengdu, China
- Chang Liu 0006
— Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China (and 2 more)
- Chang Liu 0007
— Peking University, Department of Information Management, Beijing, China (and 1 more)
- Chang Liu 0008
— Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Chang Liu 0009
— Beihang University, School of Astronautics, Beijing, China
- Chang Liu 0010
— University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany
- Chang Liu 0011
— Harbin Institute of Technology, Department of Computer Science, China
- Chang Liu 0012
— Dongguan University of Technology, School of Electronic Engineering, China
- Chang Liu 0013
— Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
- Chang Liu 0014
— North China Electric Power University, Department of Electric Engineering, Baoding, China
- Chang Liu 0015
— University of Melbourne, Australia
- Chang Liu 0016
— China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Chang Liu 0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Chang Liu 0018 — Jianghan University, Department of Logistics and Information Management, China
- Chang Liu 0019
— National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
- Chang Liu 0020
— Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- Chang Liu 0021
— University of California, Berkeley, Department of EECS, CA, USA (and 2 more)
- Chang Liu 0022
— Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Chang Liu 0023
— Huazhong University of Science and Technology, Wuhan, China
- Chang Liu 0024
— ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Chang Liu 0025
— Beijing Institute of Spacecraft Environment Engineering, China
- Chang Liu 0026
— Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028
— Ohio University, Athens, OH, USA (and 1 more)
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0030
— Microsoft Research AI4Science, Beijing, China (and 2 more)
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033
— University of Massachusetts Lowell, MA, USA
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036
— Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Chang Liu 0037
— Nanchang Hangkong University, School of Information Technology, Nanchang, China
- Chang Liu 0038
— Ben-Gurion University of the Negev, Beer Sheva, Israel
- Chang Liu 0039
— Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
- Chang Liu 0040
— Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Chang Liu 0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
- Chang Liu 0042 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0043
— China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Chang Liu 0044
— Tianjin University, School of Microelectronics, Tianjin, China
- Chang Liu 0045
— Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Chang Liu 0046
— Wuhan University, School of Computer Science, Wuhan, China
- Chang Liu 0047
— University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049
— Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chang Liu 0050
— University of Southampton, Faculty of Engineering and the Environment, UK
- Chang Liu 0051
— East China Normal University, Software Engineering Institute, Shanghai, China
- Chang Liu 0052
— University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
- Chang Liu 0053
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Chang Liu 0054
— Taishan University, Taishan University, Taian, China
- Chang Liu 0055
— Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
- Chang Liu 0056
— Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
- Chang Liu 0057
— Guangdong Ocean University, Institute of Electronics and Information Engineering, China (and 1 more)
- Chang Liu 0058
— Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Chang Liu 0059
— University of Edinburgh, School of Engineering, UK (and 2 more)
- Chang Liu 0060
— South China University of Technology, School of Automation Science and Engineering, Guangdong, China
- Chang Liu 0061
— Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Chang Liu 0062
— Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chang Liu 0063
— Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
- Chang Liu 0064
— Jilin University, Software Institute, Changchun, China
- Chang Liu 0065
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Chang Liu 0066
— Shenyang University, Department of Applied Technology, China
- Chang Liu 0067
— Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chang Liu 0068
— Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070
— Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
- Chang Liu 0071
— NVIDIA, Beijing, China (and 2 more)
- Chang Liu 0072 — Nanyang Technological University (NTU), Singapore
- Chang Liu 0073 — University of Jena, Germany
- Chang Liu 0074 — Polytechnic University of Milan, Italy
- Chang Liu 0075 — University of California, Berkeley, USA
- Chang Liu 0076
— Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
- Chang Liu 0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
- Chang Liu 0078
— Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
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2020 – today
- 2024
- [j30]Zhiqiang Wei
, Fan Liu
, Chang Liu
, Zai Yang
, Derrick Wing Kwan Ng
, Robert Schober
:
Integrated Sensing, Navigation, and Communication for Secure UAV Networks With a Mobile Eavesdropper. IEEE Trans. Wirel. Commun. 23(7): 7060-7078 (2024) - [c28]Chang Liu
, Deli Qiao, Haifeng Qian:
Joint Beamforming Design for Secure Communications Over An IRS-Aided Untrusted Relay Network. WCNC 2024: 1-6 - 2023
- [j29]Chang Liu
, Shuangyang Li, Weijie Yuan
, Xuemeng Liu, Derrick Wing Kwan Ng
:
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. IEEE J. Sel. Areas Commun. 41(7): 2245-2260 (2023) - [j28]Xingbo Lu
, Shihao Yan
, Weiwei Yang, Chang Liu
, Derrick Wing Kwan Ng
:
Short-Packet Covert Communication in Interweave Cognitive Radio Networks. IEEE Trans. Veh. Technol. 72(2): 2649-2654 (2023) - [j27]Chang Liu
, Jiayu Zhou, Ying Gao, Deli Qiao
, Haifeng Qian
:
IRS-Aided Secure Communications Over an Untrusted AF Relay System. IEEE Trans. Wirel. Commun. 22(12): 8620-8633 (2023) - [c27]Chang Liu
, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng:
Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC. ICC 2023: 5651-5657 - [c26]Qingya Lu, Rongchi Xu, Chang Liu
, Shuangyang Li, Baoming Bai:
An Unequal Error Protection-based Coded Transmission for Federated Learning. ICCC Workshops 2023: 1-5 - [c25]Junshen Chen, Qihao Yuan, Shiyao Zhang, Chang Liu
:
Data-Driven OTFS Channel Estimation Based on Gated Recurrent Convolutional Autoencoder. ISCIT 2023: 7-12 - [c24]Xiaoqi Zhang, Weijie Yuan, Chang Liu
, Jun Wu, Zhongjie Li:
Deep Learning-Based Cramér-Rao Bound Optimization for Integrated Sensing and Communication in Vehicular Networks. SPAWC 2023: 646-650 - [c23]Dongfang Xu, Chang Liu
, Shenghui Song, Derrick Wing Kwan Ng:
Integrated Sensing and Communication in Coordinated Cellular Networks. SSP 2023: 90-94 - [c22]Xiaoqi Zhang, Hongjia Huang, Long Tan, Weijie Yuan, Chang Liu
:
Enhanced Channel Estimation for OTFS-Assisted ISAC in Vehicular Networks: A Deep Learning Approach. WiOpt 2023: 703-707 - [i19]Chang Liu
, Shuangyang Li, Weijie Yuan
, Xuemeng Liu, Derrick Wing Kwan Ng:
Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC. CoRR abs/2304.10723 (2023) - [i18]Dongfang Xu, Chang Liu, Shenghui Song, Derrick Wing Kwan Ng:
Integrated Sensing and Communication in Coordinated Cellular Networks. CoRR abs/2305.01213 (2023) - [i17]Zhiqiang Wei, Fan Liu, Chang Liu, Zai Yang, Derrick Wing Kwan Ng, Robert Schober:
Integrated Sensing, Navigation, and Communication for Secure UAV Networks with a Mobile Eavesdropper. CoRR abs/2305.12842 (2023) - [i16]Wendong Huo, Chang Liu
, Yunpu Liu, Zongliang Du, Weisheng Zhang, Xu Guo:
A novel explicit design method for complex thin-walled structures based on embedded solid moving morphable components. CoRR abs/2306.10449 (2023) - 2022
- [j26]Chang Liu
, Xuemeng Liu, Shuangyang Li, Weijie Yuan
, Derrick Wing Kwan Ng:
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks. J. Commun. Inf. Networks 7(3): 269-277 (2022) - [j25]Shuangyang Li
, Weijie Yuan
, Chang Liu
, Zhiqiang Wei
, Jinhong Yuan
, Baoming Bai
, Derrick Wing Kwan Ng
:
A Novel ISAC Transmission Framework Based on Spatially-Spread Orthogonal Time Frequency Space Modulation. IEEE J. Sel. Areas Commun. 40(6): 1854-1872 (2022) - [j24]Chang Liu
, Weijie Yuan
, Shuangyang Li
, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng
, Yonghui Li
:
Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks. IEEE J. Sel. Areas Commun. 40(8): 2317-2334 (2022) - [j23]Jie Chen
, Chang Liu
, Jiawu Xie, Jie An, Nan Huang:
Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation. Sensors 22(15): 5598 (2022) - [j22]Chang Liu
, Xuemeng Liu
, Derrick Wing Kwan Ng
, Jinhong Yuan
:
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications. IEEE Trans. Wirel. Commun. 21(2): 898-912 (2022) - [j21]Yuanxin Cai
, Zhiqiang Wei
, Shaokang Hu
, Chang Liu
, Derrick Wing Kwan Ng
, Jinhong Yuan
:
Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications. IEEE Trans. Wirel. Commun. 21(12): 10315-10334 (2022) - [c21]Yuanxin Cai, Weijie Yuan
, Zhiqiang Wei, Chang Liu
, Shaokang Hu, Derrick Wing Kwan Ng:
Trajectory Design and Resource Allocation for UAV-Enabled Data Collection in Wireless Sensor Networks with 3D Blockages. 6GNet 2022: 1-8 - [c20]Chang Liu
, Weijie Yuan
, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li:
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. ICC 2022: 1948-1954 - [c19]Shaokang Hu, Chang Liu
, Zhiqiang Wei, Yuanxin Cai, Derrick Wing Kwan Ng, Jinhong Yuan:
Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems. ICC 2022: 2651-2657 - [c18]Xiaoqi Zhang, Weijie Yuan
, Chang Liu
:
Deep Residual Learning for OTFS Channel Estimation with Arbitrary Noise. ICCC Workshops 2022: 320-324 - [c17]Xiaoqi Zhang, Weijie Yuan
, Chang Liu
, Fan Liu, Miaowen Wen
:
Deep Learning with a Self-Adaptive Threshold for OTFS Channel Estimation. ISWCS 2022: 1-5 - [i15]Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li:
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. CoRR abs/2202.03811 (2022) - [i14]Yuanxin Cai, Zhiqiang Wei, Shaokang Hu, Chang Liu
, Derrick Wing Kwan Ng, Jinhong Yuan:
Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications. CoRR abs/2206.05872 (2022) - [i13]Chang Liu
, Xuemeng Liu, Shuangyang Li, Weijie Yuan
, Derrick Wing Kwan Ng:
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks. CoRR abs/2209.12368 (2022) - [i12]Chang Liu
, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Robert Schober:
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach. CoRR abs/2211.12644 (2022) - [i11]Chang Liu
, Shuangyang Li, Weijie Yuan
, Xuemeng Liu, Derrick Wing Kwan Ng:
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. CoRR abs/2212.13651 (2022) - 2021
- [j20]Shaokang Hu
, Zhiqiang Wei
, Yuanxin Cai
, Chang Liu
, Derrick Wing Kwan Ng
, Jinhong Yuan
:
Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems With Self-Sustainable IRS. IEEE Trans. Commun. 69(10): 7032-7049 (2021) - [j19]Chang Liu, Zhiqiang Wei, Derrick Wing Kwan Ng
, Jinhong Yuan
, Ying-Chang Liang
:
Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications. IEEE Trans. Wirel. Commun. 20(3): 1624-1638 (2021) - [j18]Xuemeng Liu
, Chang Liu
, Yonghui Li
, Branka Vucetic
, Derrick Wing Kwan Ng
:
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. IEEE Wirel. Commun. Lett. 10(2): 339-343 (2021) - [j17]Chang Liu
, Weijie Yuan
, Zhiqiang Wei
, Xuemeng Liu, Derrick Wing Kwan Ng
:
Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. IEEE Wirel. Commun. Lett. 10(3): 668-672 (2021) - [c16]Chang Liu
, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. GLOBECOM 2021: 1-7 - [c15]Chang Liu
, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. ICC 2021: 1-7 - [i10]Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Chang Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS. CoRR abs/2101.10549 (2021) - [i9]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. CoRR abs/2104.12309 (2021) - [i8]Shuangyang Li, Weijie Yuan, Chang Liu, Zhiqiang Wei, Jinhong Yuan, Baoming Bai, Derrick Wing Kwan Ng:
A Novel ISAC Transmission Framework based on Spatially-Spread Orthogonal Time Frequency Space Modulation. CoRR abs/2109.00440 (2021) - [i7]Shaokang Hu, Chang Liu, Zhiqiang Wei, Yuanxin Cai, Derrick Wing Kwan Ng, Jinhong Yuan:
Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems. CoRR abs/2110.10316 (2021) - 2020
- [j16]Jiandong Xie
, Jun Fang
, Chang Liu
, Xuanheng Li
:
Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach. IEEE Commun. Lett. 24(10): 2196-2200 (2020) - [j15]Jiandong Xie
, Jun Fang
, Chang Liu
, Linxiao Yang
:
Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach. IEEE Trans. Veh. Technol. 69(5): 5307-5319 (2020) - [j14]Weijie Yuan
, Chang Liu
, Fan Liu
, Shuangyang Li
, Derrick Wing Kwan Ng
:
Learning-Based Predictive Beamforming for UAV Communications With Jittering. IEEE Wirel. Commun. Lett. 9(11): 1970-1974 (2020) - [c14]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang
:
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. GLOBECOM 2020: 1-6 - [i6]Chang Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang:
Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications. CoRR abs/2009.05231 (2020) - [i5]Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng:
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. CoRR abs/2009.07468 (2020) - [i4]Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng:
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. CoRR abs/2009.07478 (2020) - [i3]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang:
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. CoRR abs/2011.05574 (2020) - [i2]Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. CoRR abs/2012.00241 (2020)
2010 – 2019
- 2019
- [j13]Jiandong Xie, Chang Liu, Ying-Chang Liang
, Jun Fang:
Activity Pattern Aware Spectrum Sensing: A CNN-Based Deep Learning Approach. IEEE Commun. Lett. 23(6): 1025-1028 (2019) - [j12]Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang
:
Deep CM-CNN for Spectrum Sensing in Cognitive Radio. IEEE J. Sel. Areas Commun. 37(10): 2306-2321 (2019) - [j11]Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang
:
Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio. IEEE Trans. Veh. Technol. 68(8): 7747-7760 (2019) - [c13]Chang Liu
, Ziheng Wang, Su Wu, Shaozhi Wu, Kai Xiao:
Regression Task on Big Data with Convolutional Neural Network. AMLTA 2019: 52-58 - [c12]Ziheng Wang, Su Wu, Chang Liu
, Shaozhi Wu, Kai Xiao:
The Regression of MNIST Dataset Based on Convolutional Neural Network. AMLTA 2019: 59-68 - [c11]Su Wu, Chang Liu
, Ziheng Wang, Shaozhi Wu, Kai Xiao:
Regression with Support Vector Machines and VGG Neural Networks. AMLTA 2019: 301-311 - [c10]Chang Liu, Xuemeng Liu, Ying-Chang Liang
:
Deep CNN for Spectrum Sensing in Cognitive Radio. ICC 2019: 1-6 - [c9]Su Wu, Ziheng Wang, Chang Liu
, Chenming Zhu, Shaozhi Wu, Kai Xiao:
Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++. QRS Companion 2019: 362-367 - [c8]Chang Liu
, Shaozhi Wu, Su Wu, Ziheng Wang, Kai Xiao:
Reliable Automatic Organ Segmentation from CT Images using Deep CNN. QRS Companion 2019: 368-374 - [c7]Sa Meng, Yuanshun Dai, Liang Luo, Chang Liu
:
Reliability Modeling and Optimization for Large-Scale Network Systems. QRS Companion 2019: 528-529 - 2018
- [j10]Chettupally Anil Carie, Mingchu Li, Chang Liu
, Prakasha Reddy
, Waseef Jamal:
Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control. Future Gener. Comput. Syst. 81: 340-347 (2018) - [j9]Xinhe Zhang
, Yuehua Zhang, Chang Liu
, Hanzhong Jia:
Low-Complexity Detection Algorithms for Spatial Modulation MIMO Systems. J. Electr. Comput. Eng. 2018: 4034625:1-4034625:7 (2018) - [c6]Chang Liu, Ming Ding, Chuan Ma
, Qingzhi Li, Zihuai Lin
, Ying-Chang Liang
:
Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions. ICC Workshops 2018: 1-6 - [c5]Qingzhi Li, Ming Ding, Chuan Ma
, Chang Liu, Zihuai Lin
, Ying-Chang Liang
:
A Reinforcement Learning Based User Association Algorithm for UAV Networks. ITNAC 2018: 1-6 - [i1]Chang Liu, Ming Ding, Chuan Ma, Qingzhi Li, Zihuai Lin, Ying-Chang Liang:
Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions. CoRR abs/1804.00811 (2018) - 2017
- [j8]Chang Liu
, Husheng Li, Jie Wang, Minglu Jin:
Optimal Eigenvalue Weighting Detection for Multi-Antenna Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 16(4): 2083-2096 (2017) - [c4]Chang Liu
, Husheng Li, Jie Wang, Minglu Jin, Jae Moung Kim:
Uncertainty principle based spatial-temporal resolution tradeoff for cognitive radio networks. ICC 2017: 1-6 - [c3]Syed Sajjad Ali, Chang Liu
, Jialong Liu, Minglu Jin, Sang-Jo Yoo, Jae Moung Kim:
A blind weighted MUSIC based detection for spatial spectrum sensing. ICTC 2017: 480-485 - 2016
- [j7]Syed Sajjad Ali, Chang Liu
, Jialong Liu, Minglu Jin
, Jae Moung Kim:
On the Eigenvalue Based Detection for Multiantenna Cognitive Radio System. Mob. Inf. Syst. 2016: 3848734:1-3848734:8 (2016) - [j6]Jie Chen
, Chang Liu
, Husheng Li, Xulong Li, Shaoqian Li:
A Categorized Resource Sharing Mechanism for Device-to-Device Communications in Cellular Networks. Mob. Inf. Syst. 2016: 5894752:1-5894752:10 (2016) - [j5]Chang Liu
, Husheng Li, Minglu Jin:
Blind Central-Symmetry-Based Feature Detection for Spatial Spectrum Sensing. IEEE Trans. Veh. Technol. 65(12): 10147-10152 (2016) - [j4]Satish Anamalamudi, Minglu Jin, Jae Moung Kim
, Chang Liu
:
On Demand Priority Packet Forwarding for TCP Performance Enhancement in Cognitive Mobile IP Networks. Wirel. Pers. Commun. 86(4): 1947-1970 (2016) - [c2]Jie Chen, Xulong Li, Husheng Li, Chang Liu
, Shaoqian Li:
Pooling Based Coexistence Scheme for D2D Communication Underlaying Cellular Networks. GLOBECOM 2016: 1-6 - 2015
- [j3]Syed Sajjad Ali, Jialong Liu, Chang Liu, Minglu Jin:
A Comparison of Spectrum-Sensing Algorithms Based on Eigenvalues. J. Inform. and Commun. Convergence Engineering 13(4) (2015) - [j2]Chang Liu
, Ming Li, Minglu Jin:
Blind Energy-based Detection for Spatial Spectrum Sensing. IEEE Wirel. Commun. Lett. 4(1): 98-101 (2015) - 2014
- [j1]Satish Anamalamudi, Chang Liu
, Minglu Jin:
Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks. J. Commun. 9(2): 107-117 (2014) - [c1]Chang Liu
, Minglu Jin:
Maximum-minimum spatial spectrum detection for cognitive radio using parasitic antenna arrays. ICCC 2014: 365-369
Coauthor Index
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last updated on 2024-08-18 00:32 CEST by the dblp team
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