Guangming Liang

Email: 303221l@student.glasgow.ac.uk

Office: SAWB 502, Sir Alwyn Williams Building, University of Glasgow, Glasgow City, Scotland, United Kingdom, G12 8RZ

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 (UofG), 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 in Data and Energy Integrated Network (DEIN) Laboratory.

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

  • Generative AI for Wireless Communications
  • Digitial Twin Networks
  • Wireless Powered Communications

I am looking for collaborations with talents all over the world. Feel free to drop me an email if you are interested in my research!

[Google Scholar] 

[IEEE Xplore Author Page]

 

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. (Cover Article)
  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, vol. 72, no. 11, pp. 6956-6972, Nov. 2024, doi: 10.1109/TCOMM.2024.3407204. 

 

 

Supervisors

Grants

Scholarship for Ph.D. Study:

  • Graduate School Scholarship (International Full Schorlaship), 2024-2028

Teaching

Teaching Assistant:

  • Elements of Information Theory, Glasgow College of UESTC, 2022 Fall

Additional Information

Technical Review:

  • China Communications
  • IEEE Wireless Communications Letter (WCL)
  • IEEE Communications Magazine
  • IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
  • International Conference on Ubiquitous Communication (Ucom)

Honors and Awards:

  • Excellent Student Scholarship of SYSU, 2018/2019/2020
  • Outstanding Graduates of SYSU, 2021 (Top 5% in school)
  • Excellent Student Scholarship of UESTC, 2021/2022/2023
  • LongHu Enterprise Scholarship, 2022
  • Young Scholar Award of UESTC, 2023 (Top 5% in school)
  • Outstanding Graduates of UESTC, 2024 (Top 5% in school)
  • Outstanding Graduates of Sichuan Province, 2024 (Top 3% in school)
  • Outstanding Master Thesis Award of UESTC, 2024 (Top 3% in school)

Internship:

  • Research Engineer, HUAWEI 2012 Wireless Technology Laboratory, 2023

Professional Activity:

  • IEEE Graduate Student Member, 2022-now