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2020 – today
- 2023
[j9]Chang Liu
, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng:
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. IEEE J. Sel. Areas Commun. 41(7): 2245-2260 (2023)- [c7]Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng:
Deep Learning-Empowered Predictive Precoder Design for OTFS Transmission in URLLC. ICC 2023: 5651-5657 - [i11]Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng:
Deep Learning-empowered Predictive Precoder Design for OTFS Transmission in URLLC. CoRR abs/2304.10723 (2023) - [i10]Limeng Wang, Xuemeng Liu, Yang Li, Duo Chang, Xing Ren:
Low-carbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism. CoRR abs/2310.03056 (2023) - 2022
- [j8]Zhiwei Shi, Zhifeng Wu, Zhe Zhang, Yutong Chen, Xuemeng Liu:
Learning Path Planning Algorithm Based on Career Goals and Artificial Intelligence. Int. J. Emerg. Technol. Learn. 17(10): 256-272 (2022) - [j7]Chang Liu, Xuemeng Liu, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng:
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-Enabled Vehicular Networks. J. Commun. Inf. Networks 7(3): 269-277 (2022) - [j6]Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Husheng Li, Derrick Wing Kwan Ng, Yonghui Li:
Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks. IEEE J. Sel. Areas Commun. 40(8): 2317-2334 (2022) - [j5]Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications. IEEE Trans. Wirel. Commun. 21(2): 898-912 (2022) - [c6]Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li:
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. ICC 2022: 1948-1954 - [i9]Chang Liu, Weijie Yuan, Shuangyang Li, Xuemeng Liu, Derrick Wing Kwan Ng, Yonghui Li:
Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach. CoRR abs/2202.03811 (2022) - [i8]Chang Liu, Xuemeng Liu, Shuangyang Li, Weijie Yuan, Derrick Wing Kwan Ng:
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks. CoRR abs/2209.12368 (2022) - [i7]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Robert Schober:
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach. CoRR abs/2211.12644 (2022) - [i6]Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng:
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. CoRR abs/2212.13651 (2022) - 2021
- [j4]Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng:
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. IEEE Wirel. Commun. Lett. 10(2): 339-343 (2021) - [j3]Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng:
Location-Aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. IEEE Wirel. Commun. Lett. 10(3): 668-672 (2021) - [c5]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. GLOBECOM 2021: 1-7 - [c4]Xuemeng Liu, Changyang She, Yonghui Li, Branka Vucetic:
Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC. GLOBECOM (Workshops) 2021: 1-6 - [c3]Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. ICC 2021: 1-7 - [i5]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications. CoRR abs/2104.12309 (2021) - 2020
- [c2]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang:
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. GLOBECOM 2020: 1-6 - [i4]Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng:
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications. CoRR abs/2009.07468 (2020) - [i3]Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng:
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach. CoRR abs/2009.07478 (2020) - [i2]Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang:
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. CoRR abs/2011.05574 (2020) - [i1]Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. CoRR abs/2012.00241 (2020)
2010 – 2019
- 2019
- [j2]Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang:
Deep CM-CNN for Spectrum Sensing in Cognitive Radio. IEEE J. Sel. Areas Commun. 37(10): 2306-2321 (2019) - [j1]Chang Liu, Jie Wang, Xuemeng Liu, Ying-Chang Liang:
Maximum Eigenvalue-Based Goodness-of-Fit Detection for Spectrum Sensing in Cognitive Radio. IEEE Trans. Veh. Technol. 68(8): 7747-7760 (2019) - [c1]Chang Liu, Xuemeng Liu, Ying-Chang Liang:
Deep CNN for Spectrum Sensing in Cognitive Radio. ICC 2019: 1-6
Coauthor Index
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