29 citations · 38 across the 11 of their papers we have counts for
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cs.LG2020★ 2 cited
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning
Dong Liu, Chengjian Sun, Chenyang Yang +1
Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable…
cs.LG2019
Model-Free Unsupervised Learning for Optimization Problems with Constraints
Chengjian Sun, Dong Liu, Chenyang Yang
In many optimization problems in wireless communications, the expressions of objective function or constraints are hard or even impossible to derive, which makes the solutions diff…
cs.LG2019★ 1 cited
Learning to Optimize with Unsupervised Learning: Training Deep Neural Networks for URLLC
Chengjian Sun, Chenyang Yang
Learning the optimized solution as a function of environmental parameters is effective in solving numerical optimization in real time for time-sensitive applications. Existing work…