Chang Liu
Orcid: 0000-0003-4959-7541Affiliations:
- La Trobe University, Melbourne, Australia
- University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia (former)
- University of Electronic Science and Technology of China (UESTC), National Key Laboratory of Science and Technology on Communications, Chengdu, China (former)
- Dalian University of Technology, School of Information and Communication Engineering, China (PhD 2017)
According to our database1,
Chang Liu
authored at least 70 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Intelligent Cloud-Edge Collaboration for Mixed Continuous-Discrete Resource Allocation in Heterogeneous Networks.
IEEE Trans. Wirel. Commun., December, 2024
IEEE Trans. Veh. Technol., December, 2024
IEEE Internet Things J., September, 2024
Integrated Sensing, Navigation, and Communication for Secure UAV Networks With a Mobile Eavesdropper.
IEEE Trans. Wirel. Commun., July, 2024
Predictive Beamforming for Vehicles With Complex Behaviors in ISAC Systems: A Deep Learning Approach.
IEEE J. Sel. Top. Signal Process., July, 2024
Joint Beamforming Design for Secure Communications Over An IRS-Aided Untrusted Relay Network.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
2023
IEEE Trans. Wirel. Commun., December, 2023
IEEE J. Sel. Areas Commun., July, 2023
IEEE Trans. Veh. Technol., February, 2023
A novel explicit design method for complex thin-walled structures based on embedded solid moving morphable components.
CoRR, 2023
Enhanced Channel Estimation for OTFS-Assisted ISAC in Vehicular Networks: A Deep Learning Approach.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Deep Learning-Based Cramér-Rao Bound Optimization for Integrated Sensing and Communication in Vehicular Networks.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
Data-Driven OTFS Channel Estimation Based on Gated Recurrent Convolutional Autoencoder.
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
2022
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks.
J. Commun. Inf. Networks, September, 2022
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications.
IEEE Trans. Wirel. Commun., 2022
Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications.
IEEE Trans. Wirel. Commun., 2022
Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation.
Sensors, 2022
A Novel ISAC Transmission Framework Based on Spatially-Spread Orthogonal Time Frequency Space Modulation.
IEEE J. Sel. Areas Commun., 2022
Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks.
IEEE J. Sel. Areas Commun., 2022
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach.
CoRR, 2022
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022
Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems.
Proceedings of the IEEE International Conference on Communications, 2022
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2022
Trajectory Design and Resource Allocation for UAV-Enabled Data Collection in Wireless Sensor Networks with 3D Blockages.
Proceedings of the 1st International Conference on 6G Networking, 2022
2021
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications.
IEEE Wirel. Commun. Lett., 2021
Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach.
IEEE Wirel. Commun. Lett., 2021
IEEE Trans. Wirel. Commun., 2021
Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems With Self-Sustainable IRS.
IEEE Trans. Commun., 2021
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.
Proceedings of the ICC 2021, 2021
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications.
Proceedings of the IEEE Global Communications Conference, 2021
2020
IEEE Wirel. Commun. Lett., 2020
IEEE Trans. Veh. Technol., 2020
IEEE Commun. Lett., 2020
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications.
Proceedings of the IEEE Global Communications Conference, 2020
2019
Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio.
IEEE Trans. Veh. Technol., 2019
IEEE J. Sel. Areas Commun., 2019
IEEE Commun. Lett., 2019
CoRR, 2019
On speeding up an asymptotic-analysis-based homogenisation scheme for designing gradient porous structured materials using a zoning strategy.
CoRR, 2019
Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019
2018
J. Electr. Comput. Eng., 2018
Future Gener. Comput. Syst., 2018
An efficient Moving Morphable Component (MMC)-based approach for multi-resolution topology optimization.
CoRR, 2018
Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018
Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018
2017
IEEE Trans. Wirel. Commun., 2017
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017
Uncertainty principle based spatial-temporal resolution tradeoff for cognitive radio networks.
Proceedings of the IEEE International Conference on Communications, 2017
2016
On Demand Priority Packet Forwarding for TCP Performance Enhancement in Cognitive Mobile IP Networks.
Wirel. Pers. Commun., 2016
IEEE Trans. Veh. Technol., 2016
A Categorized Resource Sharing Mechanism for Device-to-Device Communications in Cellular Networks.
Mob. Inf. Syst., 2016
Mob. Inf. Syst., 2016
Pooling Based Coexistence Scheme for D2D Communication Underlaying Cellular Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
IEEE Wirel. Commun. Lett., 2015
J. Inform. and Commun. Convergence Engineering, 2015
2014
Energy Efficient CCC based AODV Routing Protocol for Cognitive Radio Ad-Hoc Networks.
J. Commun., 2014
Maximum-minimum spatial spectrum detection for cognitive radio using parasitic antenna arrays.
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014