For a complete list of publications, please see Google Scholar.
We open source our code on GitHub.
Overview 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.
Age of information, latency, and reliability in intelligent vehicular networks
C. Guo, X. Wang, L. Liang, and G. Y. Li, IEEE Network, vol. 37, no. 6, pp. 109-116, Nov. 2023.
Machine learning for vehicular networks: Recent advances and application examples
H. Ye, L. Liang, G. Y. Li, J. Kim, L. Lu, and M. Wu, IEEE Vehicular Technology Magazine, vol. 13, no. 2, pp. 94–101, Jun. 2018.
Journal papers
2024
Efficient statistical linear precoding for downlink massive MIMO systems
Z. Wang, L. Liang, S. Lyu, Y. Xia, Y. Huang, D. W. K. Ng, IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 14805-14818, Oct. 2024.
Multi-agent DRL approach to two-timescale transmission for RIS-aided MU-MISO systems
Y. Wang, H. Zhang, X. Li, L. Liang, M. Matthaiou, and S. Jin, IEEE Wireless Communications Letters, vol. 13, no. 10, pp. 2697-2701, Oct. 2024.
SAFARI: Sparsity-enabled federated learning with limited and unreliable communications
Y. Mao, Z. Zhao, M. Yang, L. Liang, Y. Liu, W. Ding, T. Lan, and X.-P. Zhang, IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 4819-4831, May 2024.
2023
Age of information, latency, and reliability in intelligent vehicular networks
C. Guo, X. Wang, L. Liang, and G. Y. Li, IEEE Network, vol. 37, no. 6, pp. 109-116, Nov. 2023.
Mean-field aided multi-agent reinforcement learning for resource allocation in vehicular networks
H. Zhang, C. Lu, H. Tang, X. Wei, L. Liang, L. Cheng, W. Ding, and Z. Han, IEEE Internet of Things Journal, vol. 10, no. 3, pp. 2667-2679, Feb. 2023.
2022
2021
2020
2019
2018
Machine learning for vehicular networks: Recent advances and application examples
H. Ye, L. Liang, G. Y. Li, J. Kim, L. Lu, and M. Wu, IEEE Vehicular Technology Magazine, vol. 13, no. 2, pp. 94–101, Jun. 2018.
2017
2014 and earlier
Conference papers
Deep learning-based LOS and NLOS parameters estimation, tracking, and identification
K. Chen, J. Wang, J. Yang, L. Liang, C.-K. Wen, and S. Jin, in Proc. IEEE International Conference on Communications in China (ICCC), 2024, pp. 1–6.
Theses
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