Xuemeng Liu

According to our database, Xuemeng Liu authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach.

Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng

IEEE J. Sel. Areas Commun., July, 2023

Low-carbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism.

Limeng Wang, Xuemeng Liu, Yang Li, Duo Chang, Xing Ren

CoRR, 2023

Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC.

Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng

Proceedings of the IEEE International Conference on Communications, 2023

2022

Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks.

Chang Liu, Xuemeng Liu, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng

J. Commun. Inf. Networks, September, 2022

Learning Path Planning Algorithm Based on Career Goals and Artificial Intelligence.

Zhiwei Shi, Zhifeng Wu, Zhe Zhang, Yutong Chen, Xuemeng Liu

Int. J. Emerg. Technol. Learn., May, 2022

Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications.

Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan

IEEE Trans. Wirel. Commun., 2022

Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks.

Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng, Yonghui Li

IEEE J. Sel. Areas Commun., 2022

Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach.

Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Robert Schober

CoRR, 2022

Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach.

Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li

Proceedings of the IEEE International Conference on Communications, 2022

2021

Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications.

Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng

IEEE Wirel. Commun. Lett., 2021

Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach.

Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng

IEEE Wirel. Commun. Lett., 2021

Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.

Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan

Proceedings of the ICC 2021, 2021

Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC.

Xuemeng Liu, Changyang She, Yonghui Li, Branka Vucetic

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications.

Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan

Proceedings of the IEEE Global Communications Conference, 2021

2020

Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications.

Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang

Proceedings of the IEEE Global Communications Conference, 2020

2019

Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio.

Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang

IEEE Trans. Veh. Technol., 2019

Deep CM-CNN for Spectrum Sensing in Cognitive Radio.

Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang

IEEE J. Sel. Areas Commun., 2019

Deep CNN for Spectrum Sensing in Cognitive Radio.

Chang Liu, Xuemeng Liu, Ying-Chang Liang

Proceedings of the 2019 IEEE International Conference on Communications, 2019