Xuemeng Liu

28 papers B 2Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scalable-Predictive Beamforming for Integrated Sensing and Covert Communications: A Recurrent Graph Neural Network Approach.
IEEE Trans. Commun.
Xuemeng Liu, Chang Liu, Wei Xiang, Weijie Yuan, Yonghui Li, Branka Vucetic
2023 — conf
Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC.
ICC
Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng
2023 J jnl
Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC.
CoRR
Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng
2023 J jnl
Low-carbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism.
CoRR
Limeng Wang, Xuemeng Liu, Yang Li, Duo Chang, Xing Ren
2023 J jnl
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach.
IEEE J. Sel. Areas Commun.
Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng
2022 J jnl
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks.
J. Commun. Inf. Networks
Chang Liu, Xuemeng Liu, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng
2022 J jnl
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks.
CoRR
Chang Liu, Xuemeng Liu, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng
2022 J jnl
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications.
IEEE Trans. Wirel. Commun.
Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan
2022 J jnl
Learning Path Planning Algorithm Based on Career Goals and Artificial Intelligence.
Int. J. Emerg. Technol. Learn.
Zhiwei Shi, Zhifeng Wu, Zhe Zhang, Yutong Chen, Xuemeng Liu
2022 J jnl
Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks.
IEEE J. Sel. Areas Commun.
Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng, Yonghui Li
2022 — conf
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach.
ICC
Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li
2022 J jnl
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach.
CoRR
Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li
2022 J jnl
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach.
CoRR
Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng
2022 J jnl
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach.
CoRR
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Robert Schober
2021 B conf
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications.
GLOBECOM
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan
2021 J jnl
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications.
CoRR
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan
2021 J jnl
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications.
IEEE Wirel. Commun. Lett.
Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng
2021 — conf
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.
ICC
Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan
2021 — conf
Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC.
GLOBECOM (Workshops)
Xuemeng Liu, Changyang She, Yonghui Li, Branka Vucetic
2021 J jnl
Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach.
IEEE Wirel. Commun. Lett.
Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng
2020 J jnl
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications.
CoRR
Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng
2020 J jnl
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems.
CoRR
Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan
2020 B conf
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications.
GLOBECOM
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang
2020 J jnl
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications.
CoRR
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang
2020 J jnl
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach.
CoRR
Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng
2019 J jnl
Deep CM-CNN for Spectrum Sensing in Cognitive Radio.
IEEE J. Sel. Areas Commun.
Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang
2019 — conf
Deep CNN for Spectrum Sensing in Cognitive Radio.
ICC
Chang Liu, Xuemeng Liu, Ying-Chang Liang
2019 J jnl
Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio.
IEEE Trans. Veh. Technol.
Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang