1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2022★ 1 cited
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
Dawei Gao, Qinghua Guo, Ming Jin +2
Choosing the values of hyper-parameters in sparse Bayesian learning (SBL) can significantly impact performance. However, the hyper-parameters are normally tuned manually, which is…
eess.SP2022
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC
Zhaoji Zhang, Qinghua Guo, Ying Li +2
Tailor-made for massive connectivity and sporadic access, grant-free random access has become a promising candidate access protocol for massive machine-type communications (mMTC).…