29 citations · 38 across the 11 of their papers we have counts for
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eess.SP2022★ 1 cited
Size Generalization for Resource Allocation with Graph Neural Networks
Wu Jiajun, Sun Chengjian, Yang Chenyang
Size generalization is important for learning wireless policies, which are often with dynamic sizes, say caused by time-varying number of users. Recent works of learning to optimiz…
eess.SP2020★ 29 cited
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She, Chengjian Sun, Zhouyou Gu +4
As one of the key communication scenarios in the 5th and also the 6th generation (6G) of mobile communication networks, ultra-reliable and low-latency communications (URLLC) will b…
eess.SP2020
Improving Learning Efficiency for Wireless Resource Allocation with Symmetric Prior
Chengjian Sun, Jiajun Wu, Chenyang Yang
Improving learning efficiency is paramount for learning resource allocation with deep neural networks (DNNs) in wireless communications over highly dynamic environments. Incorporat…