Deep CNN for Spectrum Sensing in Cognitive Radio. - Chang Liu 003; Xuemeng Liu; Ying-Chang Liang (ICC, 2019)

Deep CM-CNN for Spectrum Sensing in Cognitive Radio. - Chang Liu 003; Jie Wang 003; Xuemeng Liu; Ying-Chang Liang (IEEE J. Sel. Areas Commun., 2019)

Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio. - Chang Liu 003; Jie Wang 003; Xuemeng Liu; Ying-Chang Liang (IEEE Trans. Veh. Technol., 2019)

Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. - Chang Liu 003; Xuemeng Liu; Zhiqiang Wei 001; Derrick Wing Kwan Ng; Jinhong Yuan; Ying-Chang Liang (GLOBECOM, 2020)

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. - Chang Liu 003; Xuemeng Liu; Zhiqiang Wei 001; Shaokang Hu; Derrick Wing Kwan Ng; Jinhong Yuan (GLOBECOM, 2021)

Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC. - Xuemeng Liu; Changyang She; Yonghui Li 001; Branka Vucetic (GLOBECOM (Workshops), 2021)

Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. - Chang Liu 003; Xuemeng Liu; Derrick Wing Kwan Ng; Jinhong Yuan (ICC, 2021)

Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. - Chang Liu 003; Weijie Yuan 001; Zhiqiang Wei 001; Xuemeng Liu; Derrick Wing Kwan Ng (IEEE Wirel. Commun. Lett., 2021)

Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. - Xuemeng Liu; Chang Liu 003; Yonghui Li 001; Branka Vucetic; Derrick Wing Kwan Ng (IEEE Wirel. Commun. Lett., 2021)

Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. - Chang Liu 003; Weijie Yuan 001; Shuangyang Li; Xuemeng Liu; Derrick Wing Kwan Ng; Yonghui Li 001 (ICC, 2022)

Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach. - Chang Liu 003; Xuemeng Liu; Zhiqiang Wei 001; Derrick Wing Kwan Ng; Robert Schober (CoRR, 2022)

Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks. - Chang Liu 003; Weijie Yuan 001; Shuangyang Li; Xuemeng Liu; Husheng Li; Derrick Wing Kwan Ng; Yonghui Li 001 (IEEE J. Sel. Areas Commun., 2022)

Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications. - Chang Liu 003; Xuemeng Liu; Derrick Wing Kwan Ng; Jinhong Yuan (IEEE Trans. Wirel. Commun., 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., 2022)

Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks. - Chang Liu 003; Xuemeng Liu; Shuangyang Li; Weijie Yuan 001; Derrick Wing Kwan Ng (J. Commun. Inf. Networks, 2022)

Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC. - Chang Liu 003; Shuangyang Li; Weijie Yuan 001; Xuemeng Liu; Derrick Wing Kwan Ng (ICC, 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)

Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. - Chang Liu 003; Shuangyang Li; Weijie Yuan 001; Xuemeng Liu; Derrick Wing Kwan Ng (IEEE J. Sel. Areas Commun., 2023)