Guangming Liang

email303221l@student.glasgow.ac.uk

ORCID iDhttps://orcid.org/0000-0003-3260-0353

Research title: Generative Artificial Intelligence for Wireless Digital Twin Networks: Algorithm Design and Performance Analysis

Research Summary

I am currently a Ph.D. student at the School of Computing Science, University of Glasgow, supervised by Dr. Dongzhu Liu. Before that, I received the B.Eng. degree from the School of Electronics and Communication Engineering, Sun Yat-Sen University (SYSU) in 2021 and the M.Eng. degree from the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC) in 2024. During my master study, I was supervised by Prof. Jie Hu and worked closely with Prof. Kun Yang.

My research interests lie in 6G communications and artificial intelligence (AI), including but not limited to

  • Wireless Communications
  • Digitial Twin Networks
  • Generative AI

 

Publications

  1. Jie Hu, Guangming Liang, Qin Yu, Kun Yang, Xiaofeng Lu, Simultaneous wireless information and power transfer with fixed and adaptive modulation, Digital Communications and Networks, Volume 8, Issue 3, 2022, Pages 303-313, ISSN 2352-8648, https://doi.org/10.1016/j.dcan.2022.01.001.
  2. Guangming Liang, Kun Yang, Qiang Liu, Jianjun Chen, Digital twin environment generation for mobile communication networks: a long short-term memory approach, ZTE technology journal, 2023, 29(3): 15-20. DOI:10.12142/ZTETJ.202303004.
  3. Guangming Liang, Jie Hu, Kun Yang, Siyao Song, Tingcai Liu, Ning Xie and Yijun Yu, "Data Augmentation for Predictive Digital Twin Channel: Learning Multi-Domain Correlations by Convolutional TimeGAN," in IEEE Journal of Selected Topics in Signal Processing, vol. 18, no. 1, pp. 18-33, Jan. 2024, doi: 10.1109/JSTSP.2024.3358980
  4. Guangming Liang, Jie Hu, Yizhe Zhao and Kun Yang, "Intelligent Link Adaptation for Integrated Data and Energy Transfer: An Enhanced DRL Approach for Long-Term Constraints," in IEEE Transactions on Communications, 2024, doi: 10.1109/TCOMM.2024.3407204. (Early Access)

 

 

Supervisors

    Additional Information

    Technical Review:

    • China Communications
    • IEEE Wireless Communications Letter
    • IEEE Communications Magazine