50 citations · 50 across the 2 of their papers we have counts for
3 papers
eess.SP2025
Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation
Shengjie Liu, Chenyang Yang
Unsupervised learning has been extensively adopted to train deep neural networks (DNNs) for learning wireless resource allocation. Yet, the performance of DNNs is vulnerable to dis…
eess.SP2025
Learning Wideband User Scheduling and Hybrid Precoding with Graph Neural Networks
Shengjie Liu, Chenyang Yang, Shengqian Han
User scheduling and hybrid precoding in wideband multi-antenna systems have never been learned jointly due to the challenges arising from the massive user combinations on resource…
eess.SP2022★ 50 cited
Multidimensional Graph Neural Networks for Wireless Communications
Shengjie Liu, Jia Guo, Chenyang Yang
Graph neural networks (GNNs) have been shown promising in improving the efficiency of learning communication policies by leveraging their permutation properties. Nonetheless, exist…