Le Liang
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Le Liang 梁乐, Professor |
Short Bio
Le Liang is a Professor in the School of Information Science and Engineering, Southeast University, Nanjing, China. He received the B.E. degree in information engineering from Southeast University in 2012, the M.A.Sc degree in electrical engineering from the University of Victoria, Canada, in 2015, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, USA, in 2018. From 2019 to 2021, he was a Research Scientist at Intel Labs, Hillsboro, USA.
Research Interests
My main research interests are in wireless communications and machine learning. The current focus is:
Machine learning in communications and networking
Semantic communications
Wireless sensing
I usually have 1-2 Ph.D. and 3-4 Master's openings every year. Please drop me an email if you are interested in working with me.
我一般每年会招收1-2名博士生和3-4名硕士生。如果你对无线通信、信号处理、机器学习等方向有兴趣，欢迎与我联系，谢谢。
Representative Papers
AI Empowered Wireless Communications: From Bits to Semantics
Z. Qin, L. Liang, Z. Wang, S. Jin, X. Tao, W. Tong, and G. Y. Li, Proceedings of the IEEE, vol. 112, no. 7, pp. 621-652, Jul. 2024.
Decentralized federated learning with unreliable communications [Code]
H. Ye, L. Liang, and G. Y. Li, IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 3, pp. 487-500, Apr. 2022.
Deep learning based end-to-end wireless communication systems with conditional GAN as unknown channel [Code]
H. Ye, L. Liang, G. Y. Li, and B.-H. Juang, IEEE Transactions on Wireless Communications, vol. 19, no. 5, pp. 3133-3143, May 2020.
Deep-learning-based wireless resource allocation with application to vehicular networks
L. Liang, H. Ye, G. Yu, and G. Y. Li, Proceedings of the IEEE, vol. 108, no. 2, pp. 341-356, Feb. 2020.
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning [Code]
L. Liang, H. Ye, and G. Y. Li, IEEE Journal on Selected Areas in Communications, vol. 37, no. 10, pp. 2282-2292, Oct. 2019.
Resource allocation for D2D-enabled vehicular communications [Code]
L. Liang, G. Y. Li, W. Xu, IEEE Transactions on Communications, vol. 65, no. 7, pp. 3186–-3197, Jul. 2017.
Low-complexity hybrid precoding in massive multiuser MIMO systems [Code]
L. Liang, W. Xu, and X. Dong, IEEE Wireless Communications Letters, vol. 3, no. 6, pp. 653–656, Dec. 2014.