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• affiliation:La Trobe University, Department of Computer Science and Information Technology, Melbourne, VIC, Australia
• affiliation (former):University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, NSW, Australia
• affiliation (former):University of Electronic Science and Technology of China (UESTC), National Key Laboratory of Science and Technology on Communications, Chengdu, China
• affiliation (former, PhD 2017):Dalian University of Technology, School of Information and Communication Engineering, China

• Chang Liu —disambiguation page
• Chang Liu0001 —Beijing Institute of Technology, School of Computer Science and Technology, China(and 1 more)
• Chang Liu0002 —Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China(and 2 more)
• Chang Liu0004 — Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
• Chang Liu0005 — Chengdu University, College of Information Science and Technology, Chengdu, China
• Chang Liu0006 —Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China(and 2 more)
• Chang Liu0007 —Peking University, Department of Information Management, Beijing, China(and 1 more)
• Chang Liu0008 —Guangdong University of Technology, School of Information Engineering, China(and 1 more)
• Chang Liu0009 —Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China(and 1 more)
• Chang Liu0010 — University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany

• Chang Liu0011 — Harbin Institute of Technology, Department of Computer Science, China
• Chang Liu0012 — Dongguan University of Technology, School of Electronic Engineering, China
• Chang Liu0013 — Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
• Chang Liu0014 — North China Electric Power University, Department of Electric Engineering, Baoding, China
• Chang Liu0015 — University of Melbourne, Australia
• Chang Liu0016 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
• Chang Liu0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
• Chang Liu0018 — Jianghan University, Department of Logistics and Information Management, China
• Chang Liu0019 — National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
• Chang Liu0020 — Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
• Chang Liu0021 —University of California, Berkeley, Department of EECS, CA, USA(and 2 more)
• Chang Liu0022 — Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
• Chang Liu0023 — Huazhong University of Science and Technology, Wuhan, China
• Chang Liu0024 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
• Chang Liu0025 — Beijing Institute of Spacecraft Environment Engineering, China
• Chang Liu0026 — Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
• Chang Liu0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
• Chang Liu0028 —Ohio University, Athens, OH, USA(and 1 more)
• Chang Liu0029 — University of Toronto, Canada
• Chang Liu0030 —Microsoft Research AI4Science, Beijing, China(and 2 more)
• Chang Liu0031 — Carnegie Mellon University, Pittsburgh, PA, USA
• Chang Liu0032 — Northwestern University, Evanston, IL, USA
• Chang Liu0033 — University of Massachusetts Lowell, MA, USA
• Chang Liu0034 —Broadcom Corporation, Irvine, CA, USA(and 1 more)
• Chang Liu0035 — King's College London, UK
• Chang Liu0036 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
• Chang Liu0037 — Nanchang Hangkong University, School of Information Technology, Nanchang, China
• Chang Liu0038 — Ben-Gurion University of the Negev, Beer Sheva, Israel
• Chang Liu0039 — Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
• Chang Liu0040 —Nanyang Technological University, School of Computer Science and Engineering, Singapore(and 1 more)
• Chang Liu0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
• Chang Liu0042 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
• Chang Liu0043 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
• Chang Liu0044 — Tianjin University, School of Microelectronics, Tianjin, China
• Chang Liu0045 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
• Chang Liu0046 — Wuhan University, School of Computer Science, Wuhan, China
• Chang Liu0047 —Tsinghua University, Department of Automation, School of Information Science and Technology, Beijing, China(and 1 more)
• Chang Liu0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
• Chang Liu0049 —Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China(and 1 more)
• Chang Liu0050 — University of Southampton, Faculty of Engineering and the Environment, UK
• Chang Liu0051 — East China Normal University, Software Engineering Institute, Shanghai, China
• Chang Liu0052 — University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
• Chang Liu0053 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
• Chang Liu0054 — Taishan University, Taishan University, Taian, China
• Chang Liu0055 — Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
• Chang Liu0056 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
• Chang Liu0057 —Guangdong Ocean University, Institute of Electronics and Information Engineering, China(and 1 more)
• Chang Liu0058 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
• Chang Liu0059 —University of Edinburgh, School of Engineering, UK(and 2 more)
• Chang Liu0060 — South China University of Technology, School of Automation Science and Engineering, Guangdong, China
• Chang Liu0061 —Tsinghua University, Department of Automation, Beijing, China(and 1 more)
• Chang Liu0062 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
• Chang Liu0063 — Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
• Chang Liu0064 — Jilin University, Software Institute, Changchun, China
• Chang Liu0065 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
• Chang Liu0066 — Shenyang University, Department of Applied Technology, China
• Chang Liu0067 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
• Chang Liu0068 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
• Chang Liu0069 —Xi'an Jiaotong-Liverpool University, Suzhou, China(and 1 more)
• Chang Liu0070 — Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
• Chang Liu0071 —NVIDIA, Beijing, China(and 2 more)
• Chang Liu0072 — Nanyang Technological University (NTU), Singapore
• Chang Liu0073 — University of Jena, Germany
• Chang Liu0074 — Polytechnic University of Milan, Italy
• Chang Liu0075 — University of California, Berkeley, USA
• Chang Liu0076 — Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
• Chang Liu0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
• Chang Liu0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
• Chang Liu0079 — Shanghai Jiao Tong University, Coop. Medianet Innovation Center, China
• Chang Liu0080 — New Jersey Institute of Technology, Institute for Space Weather Sciences, Newark, NJ, USA
• Chang Liu0081 —Kyoto University, Department of Real World Data R&D, Japan(and 1 more)
• Chang Liu0082 — Shanghai University, School of Mechatronic Engineering and Automation, China
• Chang Liu0083 —Luleå Tekniska Universitet, Sweden(and 1 more)
• Chang Liu0084 — University of New South Wales, Faculty of Engineering, School of Civil and Environmental Engineering, Sydney, NSW, Australia
• Chang Liu0085 —Zhejiang Lab, Research Center for Humanoid Sensing, Hangzhou, China(and 1 more)
• Chang Liu0086 — Budapest University of Technology and Economics, Department of Networked Systems and Services, Hungary
• Chang Liu0087 —Sichuan University, School of Computer Science, Chengdu, China(and 1 more)
• Chang Liu0088 — Sichuan University, College of Computer Science, Chengdu, China
• Chang Liu0089 — University of Science and Technology of China, School of Cyber Science and Technology, Hefei, China
• Chang Liu0090 — Beihang University, School of Astronautics, Image Processing Center, Beijing, China
• Chang Liu0091 — Shanghai Jiao Tong University, Shanghai, China
• Chang Liu0092 — Tsinghua University, Beijing, China
• Chang Liu0093 — Nanyang Technological University (NTU), Graduate College, Singapore
• Chang Liu0094 — University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam, Hong Kong
• Chang Liu0095 — Chinese Health Medical Information and Big Data Association, Information and Application Security Agency, Beijing, China
• Chang Liu0096 —Nantong University, Research Center for Intelligent Information Technology, China(and 1 more)
• Chang Liu0097 — Hefei University of Technology, School of Computer and Information, China
• Chang Liu0098 —Guangzhou Medical University, Affiliated Stomatology Hospital, Department of Orthodontics, China(and 1 more)
• Chang Liu0099 —CRSC Research & Design Institute Group Co., Ltd., Beijing, China(and 1 more)
• Chang Liu0100 — State Grid Shanghai Electric Power Research Institute, Department of Information Technology, China
• Chang Liu0101 — Nanjing Agricultural University, College of Information Management, China
• Chang Liu0102 — East China University of Science and Technology, MoE Key Laboratory of Smart Manufacturing in Energy Chemical Process, Shanghai, China
• Chang Liu0103 —Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China(and 1 more)
• Chang Liu0104 — Guizhou University, School of Mechanical Engineering, Guiyang, China
• Chang Liu0105 — Hong Kong University of Science and Technology (Guangzhou), Sustainable Energy and Environment Thrust, China
• Chang Liu0106 —University of Connecticut Storrs, School of Mechanical, Aerospace, and Manufacturing Engineering, CT, USA(and 2 more)
• Chang Liu0107 — Northwest A&F University, Yangling, China
• Chang Liu0108 — Hong Kong Baptist UniversityDepartment of Computer Science, Hong Kong
• Chang Liu0109 — Beihang University, School of Electronics and Information Engineering, Beijing, China
• Chang Liu0110 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
• Chang Liu0111 — Zhongnan University of Economics and Law, Department of Qualitative Economics and Mathematics, School of Statistics and Mathematics, Wuhan, China
• Chang Liu0112 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
• Chang Liu0113 — Southeast University, Nanjing, China
• Chang Liu0114 —Communication University of Zhejiang, Institute of Intelligent Media Technology, Hangzhou, China(and 1 more)
• Chang Liu0115 — China University of Petroleum (East China), College of Computer Science and Technology, Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software, Qingdao, China
• Chang Liu0116 —Hangzhou Institute of Extremely-Weak Magnetic Field Major National Science and Technology Infrastructure, China(and 1 more)
• Chang Liu0117 — Tsinghua University, Department of Computer Science and Technology, Zhongguancun Laboratory, Beijing, China
• Chang Liu0118 — Shandong University, School of Control Science and Engineering, Jinan, China
• Chang Liu0119 — Hubei University of Technology, School of Computer Science, Wuhan, China
• Chang Liu0120 — Beijing Information Science & Technology University, School of Automation, China
• Chang Liu0121 — University of Notre Dame, Department of Aerospace and Mechanical Engineering, IN, USA
• Chang Liu0122 — Colorado School of Mines, Golden, CO, USA
• Chang Liu0123 — Hubei University, College of Life Sciences, State Key Laboratory of Biocatalysis and Enzyme Engineering of China, Wuhan, China
• Chang Liu0124 —University of Melbourne, School of Mathematics and Statistics, Parkville, Australia(and 1 more)
• Chang Liu0125 — Beijing University of Posts and Telecommunications, Beijing, China
• Chang Liu0126 —Beijing Institute of Technology, Yangtze Delta Region Academy, Jiaxing, China(and 1 more)
• Chang Liu0127 — Shandong Normal University, Jinan, China
• Chang Liu0128 — Tencent Maps, Beijing, China
• Chang Liu0129 — State Grid Hubei Electric Power Research Institute, Wuhan, China
• Chang Liu0130 — Shenyang Institute of Computing Technology, Shenyang, China
• Chang Liu0131 — Fudan University, Shanghai, China
• Chang Liu0132 — Beijing University of Posts and Telecommunications, Beijing, China
• Chang Liu0133 — Shanghai Jiao Tong University, Shanghai, China
• Chang Liu0134 — Beijing Institute of Technology, Beijing, China
• Chang Liu0135 — Peking University, Beijing, China
• Chang Liu0136 — University of Science and Technology Beijing, Beijing, China
• Chang Liu0137 — Yangzhou Polytechnic Institute, Yangzhou, Jiangsu, China
• Chang Liu0138 — University of Utah, Salt Lake City, UT, USA
• Chang Liu0139 — Hunan University, Changsha, Hunan, China
• Chang Liu0140 — University of Science and Technology of China, Hefei, China

• Liu Chang
• Chang-Le Liu
• Chang'an Liu
• Chang Hong Liu
• Changxin Liu(aka: ChangXin Liu, Chang-Xin Liu) —disambiguation page
• Chien-Chang Liu
• Jen-Chang Liu
• Li-Chang Liu
• Shyh-Chang Liu
• Wei-Chang Liu
• show all similar names

• 2026
• 
  [j42]
  Nguyen Duc Minh Quang,Chang Liu,Shuangyang Li,Hoai-Nam Vu,Derrick Wing Kwan Ng,Wei Xiang:
  Diffusion Model-Enhanced Environment Reconstruction in ISAC.IEEE Wirel. Commun. Lett.15:1588-1592 (2026)
• 2025
• 
  [j41]
  William D. Lukito,Wei Xiang,Phu Lai,Peng Cheng,Chang Liu,Kan Yu,Xiaoyan Zhu:
  Integrated STAR-RIS and UAV for Satellite IoT Communications: An Energy-Efficient Approach.IEEE Internet Things J.12(9):11356-11371 (2025)
• 
  [j40]
  Ziyu Yan,Weijie Yuan,Xiaoqi Zhang,Chang Liu,Jun Wu,Tony Q. S. Quek:
  Deep-Learning-Based Compensation Mechanism for UAV Sensing via OTFS Signaling.IEEE Internet Things J.12(15):29797-29810 (2025)
• 
  [j39]
  Le Fang,Wei Xiang,Jiong Jin,Kewen Liao,Chang Liu,Yu Han,Flora D. Salim,Yi-Ping Phoebe Chen:
  Agri-LLM: Prompt-Based Large Language Model for Emission Data Analytics in Smart Agriculture.IEEE Internet Things J.12(23):49186-49197 (2025)
• 
  [j38]
  Ronghua Lin,Chang Liu,Hao Zhong,Chengzhe Yuan,Guohua Chen,Yuncheng Jiang,Yong Tang:
  Motif and supernode-enhanced gated graph neural networks for session-based recommendation.Neural Networks187:107406 (2025)
• 
  [j37]
  Phu Lai,Wei Xiang,William D. Lukito,Khoa Tran Phan,Peng Cheng,Chang Liu,Guoqiang Mao:
  Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization.IEEE Trans. Veh. Technol.74(5):8309-8314 (2025)
• 
  [j36]
  William D. Lukito,Wei Xiang,Chang Liu,Phu Lai,Peng Cheng,Guoqiang Mao:
  Learning to Design Transceiver for Integrated Sensing and Communications: A Satellite Communications Perspective.IEEE Trans. Wirel. Commun.24(9):7409-7423 (2025)
• 
  [i24]
  Nguyen Duc Minh Quang,Chang Liu,Huy-Trung Nguyen,Shuangyang Li,Derrick Wing Kwan Ng,Wei Xiang:
  3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks.CoRRabs/2511.19019 (2025)
• 
  [i23]
  Nguyen Duc Minh Quang,Chang Liu,Shuangyang Li,Hoai-Nam Vu,Derrick Wing Kwan Ng,Wei Xiang:
  Diffusion Model-Enhanced Environment Reconstruction in ISAC.CoRRabs/2511.19044 (2025)
• 2024
• 
  [j35]
  Jiapeng Li,Xiaodan Shao,Feng Chen,Shaohua Wan,Chang Liu,Zhiqiang Wei,Derrick Wing Kwan Ng:
  Networked Integrated Sensing and Communications for 6G Wireless Systems.IEEE Internet Things J.11(17):29062-29075 (2024)
• 
  [j34]
  Xiaoqi Zhang,Weijie Yuan,Chang Liu,Jun Wu,Derrick Wing Kwan Ng:
  Predictive Beamforming for Vehicles With Complex Behaviors in ISAC Systems: A Deep Learning Approach.IEEE J. Sel. Top. Signal Process.18(5):828-841 (2024)
• 
  [j33]
  Xiaoqi Zhang,Chang Liu,Weijie Yuan,J. Andrew Zhang,Derrick Wing Kwan Ng:
  Sparse Prior-Guided Deep Learning for OTFS Channel Estimation.IEEE Trans. Veh. Technol.73(12):19913-19918 (2024)
• 
  [j32]
  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)
• 
  [j31]
  Lin Zhang,Fucheng Zhai,Chang Liu,Ming Xiao:
  Intelligent Cloud-Edge Collaboration for Mixed Continuous-Discrete Resource Allocation in Heterogeneous Networks.IEEE Trans. Wirel. Commun.23(12):19412-19427 (2024)
• 
  [j30]
  Chang Liu,Yongsheng Yuan,Xin Chen,Huchuan Lu,Dong Wang:
  Spatial-temporal initialization dilemma: towards realistic visual tracking.Vis. Intell.2(1):35 (2024)
• 
  [c27]
  Chang Liu,Deli Qiao,Haifeng Qian:
  Joint Beamforming Design for Secure Communications Over An IRS-Aided Untrusted Relay Network.WCNC2024:1-6
• 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)
• 
  [c26]
  Shaoheng Tan,Chang Liu,Dingding Li,Yong Tang,Deze Zeng:
  A NUMA-aware Graph Database for Hybrid Memory System.ISPA/BDCloud/SocialCom/SustainCom2023:573-580
• 
  [c25]
  Chang Liu,Shuangyang Li,Weijie Yuan,Xuemeng Liu,Derrick Wing Kwan Ng:
  Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC.ICC2023:5651-5657
• 
  [c24]
  Qingya Lu,Rongchi Xu,Chang Liu,Shuangyang Li,Baoming Bai:
  An Unequal Error Protection-based Coded Transmission for Federated Learning.ICCC Workshops2023:1-5
• 
  [c23]
  Junshen Chen,Qihao Yuan,Shiyao Zhang,Chang Liu:
  Data-Driven OTFS Channel Estimation Based on Gated Recurrent Convolutional Autoencoder.ISCIT2023:7-12
• 
  [c22]
  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.SPAWC2023:646-650
• 
  [c21]
  Dongfang Xu,Chang Liu,Shenghui Song,Derrick Wing Kwan Ng:
  Integrated Sensing and Communication in Coordinated Cellular Networks.SSP2023:90-94
• 
  [c20]
  Xiaoqi Zhang,Hongjia Huang,Long Tan,Weijie Yuan,Chang Liu:
  Enhanced Channel Estimation for OTFS-Assisted ISAC in Vehicular Networks: A Deep Learning Approach.WiOpt2023:703-707
• 
  [i22]
  Chang Liu,Shuangyang Li,Weijie Yuan,Xuemeng Liu,Derrick Wing Kwan Ng:
  Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC.CoRRabs/2304.10723 (2023)
• 
  [i21]
  Dongfang Xu,Chang Liu,Shenghui Song,Derrick Wing Kwan Ng:
  Integrated Sensing and Communication in Coordinated Cellular Networks.CoRRabs/2305.01213 (2023)
• 
  [i20]
  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.CoRRabs/2305.12842 (2023)
• 
  [i19]
  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.CoRRabs/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. Networks7(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.Sensors22(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)
• 
  [c19]
  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.6GNet2022:1-8
• 
  [c18]
  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.ICC2022:1948-1954
• 
  [c17]
  Shaokang Hu,Chang Liu,Zhiqiang Wei,Yuanxin Cai,Derrick Wing Kwan Ng,Jinhong Yuan:
  Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems.ICC2022:2651-2657
• 
  [c16]
  Xiaoqi Zhang,Weijie Yuan,Chang Liu:
  Deep Residual Learning for OTFS Channel Estimation with Arbitrary Noise.ICCC Workshops2022:320-324
• 
  [c15]
  Xiaoqi Zhang,Weijie Yuan,Chang Liu,Fan Liu,Miaowen Wen:
  Deep Learning with a Self-Adaptive Threshold for OTFS Channel Estimation.ISWCS2022:1-5
• 
  [i18]
  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.CoRRabs/2202.03811 (2022)
• 
  [i17]
  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.CoRRabs/2206.05872 (2022)
• 
  [i16]
  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.CoRRabs/2209.12368 (2022)
• 
  [i15]
  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.CoRRabs/2211.12644 (2022)
• 
  [i14]
  Chang Liu,Shuangyang Li,Weijie Yuan,Xuemeng Liu,Derrick Wing Kwan Ng:
  Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach.CoRRabs/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)
• 
  [c14]
  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.GLOBECOM2021:1-7
• 
  [c13]
  Chang Liu,Xuemeng Liu,Derrick Wing Kwan Ng,Jinhong Yuan:
  Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.ICC2021:1-7
• 
  [i13]
  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.CoRRabs/2101.10549 (2021)
• 
  [i12]
  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.CoRRabs/2104.12309 (2021)
• 
  [i11]
  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.CoRRabs/2109.00440 (2021)
• 
  [i10]
  Shaokang Hu,Chang Liu,Zhiqiang Wei,Yuanxin Cai,Derrick Wing Kwan Ng,Jinhong Yuan:
  Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems.CoRRabs/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)
• 
  [c12]
  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.GLOBECOM2020:1-6
• 
  [i9]
  Chang Liu,Zhiqiang Wei,Derrick Wing Kwan Ng,Jinhong Yuan,Ying-Chang Liang:
  Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications.CoRRabs/2009.05231 (2020)
• 
  [i8]
  Xuemeng Liu,Chang Liu,Yonghui Li,Branka Vucetic,Derrick Wing Kwan Ng:
  Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications.CoRRabs/2009.07468 (2020)
• 
  [i7]
  Chang Liu,Weijie Yuan,Zhiqiang Wei,Xuemeng Liu,Derrick Wing Kwan Ng:
  Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach.CoRRabs/2009.07478 (2020)
• 
  [i6]
  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.CoRRabs/2011.05574 (2020)
• 
  [i5]
  Chang Liu,Xuemeng Liu,Derrick Wing Kwan Ng,Jinhong Yuan:
  Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.CoRRabs/2012.00241 (2020)

• 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)
• 
  [c11]
  Su Wu,Chang Liu,Ziheng Wang,Shaozhi Wu,Kai Xiao:
  Regression with Support Vector Machines and VGG Neural Networks.AMLTA2019:301-311
• 
  [c10]
  Chang Liu,Xuemeng Liu,Ying-Chang Liang:
  Deep CNN for Spectrum Sensing in Cognitive Radio.ICC2019:1-6
• 
  [c9]
  Longyin Wen,Yue Zhang,Liefeng Bo,Hailin Shi,Rui Zhu,Ajit Jadhav,Bing Dong,Brejesh Lall,Chang Liu,Chunhui Zhang,Dong Wang,Pengfei Zhu,Feng Ni,Filiz Bunyak,Gaoang Wang,Guizhong Liu,Guna Seetharaman,Guorong Li,Håkan Ardö,Haotian Zhang,Hongyang Yu,Huchuan Lu,Dawei Du,Jenq-Neng Hwang,Jiatong Mu,Jinrong Hu,Kannappan Palaniappan,Long Chen,Lu Ding,Martin Lauer,Mikael G. Nilsson,Noor M. Al-Shakarji,Prerana Mukherjee,Xiao Bian,Qingming Huang,Robert Laganière,Shuhao Chen,Siyang Pan,Vinay Kaushik,Wei Shi,Wei Tian,Weiqiang Li,Xin Chen,Xinyu Zhang,Haibin Ling,Yanting Zhang,Yanyun Zhao,Yong Wang,Yuduo Song,Yuehan Yao,Zhaotang Chen,Zhenyu Xu,Zhibin Xiao,Zhihang Tong,Zhipeng Luo,Qinghua Hu,Zhuojin Sun,Jiayu Zheng,Tao Peng,Xinyao Wang:
  VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results.ICCV Workshops2019:189-198
• 
  [c8]
  Dawei Du,Yue Zhang,Zexin Wang,Zhikang Wang,Zichen Song,Ziming Liu,Liefeng Bo,Hailin Shi,Rui Zhu,Aashish Kumar,Aijin Li,Almaz Zinollayev,Anuar Askergaliyev,Arne Schumann,Binjie Mao,Pengfei Zhu,Byeongwon Lee,Chang Liu,Changrui Chen,Chunhong Pan,Chunlei Huo,Da Yu,Dechun Cong,Dening Zeng,Dheeraj Reddy Pailla,Di Li,Longyin Wen,Dong Wang,Donghyeon Cho,Dongyu Zhang,Furui Bai,George Jose,Guangyu Gao,Guizhong Liu,Haitao Xiong,Hao Qi,Haoran Wang,Xiao Bian,Heqian Qiu,Hongliang Li,Huchuan Lu,Ildoo Kim,Jaekyum Kim,Jane Shen,Jihoon Lee,Jing Ge,Jingjing Xu,Jingkai Zhou,Haibin Ling,Jonas Meier,Jun Won Choi,Junhao Hu,Junyi Zhang,Junying Huang,Kaiqi Huang,Keyang Wang,Lars Sommer,Lei Jin,Lei Zhang,Qinghua Hu,Lianghua Huang,Lin Sun,Lucas Steinmann,Meixia Jia,Nuo Xu,Pengyi Zhang,Qiang Chen,Qingxuan Lv,Qiong Liu,Qishang Cheng,Tao Peng,Sai Saketh Chennamsetty,Shuhao Chen,Shuo Wei,Srinivas S. S. Kruthiventi,Sungeun Hong,Sungil Kang,Tong Wu,Tuo Feng,Varghese Alex Kollerathu,Wanqi Li,Jiayu Zheng,Wei Dai,Weida Qin,Weiyang Wang,Xiaorui Wang,Xiaoyu Chen,Xin Chen,Xin Sun,Xin Zhang,Xin Zhao,Xindi Zhang,Xinyao Wang,Xinyu Zhang,Xuankun Chen,Xudong Wei,Xuzhang Zhang,Yanchao Li,Yifu Chen,Yu Heng Toh,Yu Zhang,Yu Zhu,Yunxin Zhong:
  VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.ICCV Workshops2019:213-226
• 
  [c7]
  Sa Meng,Yuanshun Dai,Liang Luo,Chang Liu:
  Reliability Modeling and Optimization for Large-Scale Network Systems.QRS Companion2019:528-529
• 
  [i4]
  Dingchuan Xue,Yichao Zhu,Shaoshuai Li,Chang Liu,Weisheng Zhang,Xu Guo:
  On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy.CoRRabs/1909.11182 (2019)
• 
  [i3]
  Chang Liu,Zongliang Du,Yichao Zhu,Weisheng Zhang,Xiaoyu Zhang,Xu Guo:
  Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach.CoRRabs/1911.07800 (2019)
• 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 Workshops2018:1-6
• 
  [c5]
  Qingzhi Li,Ming Ding,Chuan Ma,Chang Liu,Zihuai Lin,Ying-Chang Liang:
  A Reinforcement Learning Based User Association Algorithm for UAV Networks.ITNAC2018:1-6
• 
  [i2]
  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.CoRRabs/1804.00811 (2018)
• 
  [i1]
  Chang Liu,Yichao Zhu,Zhi Sun,Dingding Li,Zongliang Du,Weisheng Zhang,Xu Guo:
  An efficient Moving Morphable Component (MMC)-based approach for multi-resolution topology optimization.CoRRabs/1805.02008 (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.ICC2017:1-6
• 
  [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.ICTC2017:480-485
• 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.GLOBECOM2016:1-6
• 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 Engineering13(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.ICCC2014:365-369

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