4 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SP2025
Robust Sparse Bayesian Learning Based on Minimum Error Entropy for Noisy High-Dimensional Brain Activity Decoding
Yuanhao Li, Badong Chen, Wenjun Bai +2
Objective: Sparse Bayesian learning provides an effective framework to solve high-dimensional problems in brain signal decoding. However, conventional likelihoods regarding data di…
cs.LG2024★ 1 cited
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
Yuanhao Li, Badong Chen, Zhongxu Hu +4
Bayesian learning provides a unified skeleton to solve the electrophysiological source imaging task. From this perspective, existing source imaging algorithms utilize the Gaussian…
eess.SP2024★ 4 cited
Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings
Yuanhao Li, Badong Chen, Natsue Yoshimura +2
Sparse Bayesian learning has promoted many effective frameworks for brain activity decoding, especially for the reconstruction of muscle activity. However, existing sparse Bayesian…