Chang Liu

Orcid: 0000-0003-4959-7541

Affiliations:
  • University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia
  • 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 53 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach.
IEEE J. Sel. Areas Commun., July, 2023

Short-Packet Covert Communication in Interweave Cognitive Radio Networks.
IEEE Trans. Veh. Technol., February, 2023

Integrated Sensing, Navigation, and Communication for Secure UAV Networks with a Mobile Eavesdropper.
CoRR, 2023

An Unequal Error Protection-based Coded Transmission for Federated Learning.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC.
Proceedings of the IEEE International Conference on Communications, 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

Deep Learning with a Self-Adaptive Threshold for OTFS Channel Estimation.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

Deep Residual Learning for OTFS Channel Estimation with Arbitrary Noise.
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

Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications.
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
Learning-Based Predictive Beamforming for UAV Communications With Jittering.
IEEE Wirel. Commun. Lett., 2020

Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach.
IEEE Trans. Veh. Technol., 2020

Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach.
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

Deep CM-CNN for Spectrum Sensing in Cognitive Radio.
IEEE J. Sel. Areas Commun., 2019

Activity Pattern Aware Spectrum Sensing: A CNN-Based Deep Learning Approach.
IEEE Commun. Lett., 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

Reliability Modeling and Optimization for Large-Scale Network Systems.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Reliable Automatic Organ Segmentation from CT Images using Deep CNN.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Deep CNN for Spectrum Sensing in Cognitive Radio.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Regression with Support Vector Machines and VGG Neural Networks.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

The Regression of MNIST Dataset Based on Convolutional Neural Network.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

Regression Task on Big Data with Convolutional Neural Network.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

2018
Low-Complexity Detection Algorithms for Spatial Modulation MIMO Systems.
J. Electr. Comput. Eng., 2018

Hybrid Directional CR-MAC based on Q-Learning with Directional Power Control.
Future Gener. Comput. Syst., 2018

A Reinforcement Learning Based User Association Algorithm for UAV Networks.
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
Optimal Eigenvalue Weighting Detection for Multi-Antenna Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2017

A blind weighted MUSIC based detection for spatial spectrum sensing.
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

Blind Central-Symmetry-Based Feature Detection for Spatial Spectrum Sensing.
IEEE Trans. Veh. Technol., 2016

A Categorized Resource Sharing Mechanism for Device-to-Device Communications in Cellular Networks.
Mob. Inf. Syst., 2016

On the Eigenvalue Based Detection for Multiantenna Cognitive Radio System.
Mob. Inf. Syst., 2016

Pooling Based Coexistence Scheme for D2D Communication Underlaying Cellular Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Blind Energy-based Detection for Spatial Spectrum Sensing.
IEEE Wirel. Commun. Lett., 2015

A Comparison of Spectrum-Sensing Algorithms Based on Eigenvalues.
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


  Loading...