1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent
Weihua Liu, Said Boumaraf, Jianwu Li +4
Natural gradient descent (NGD) is a powerful optimization technique for machine learning, but the computational complexity of the inverse Fisher information matrix limits its appli…
eess.IV2023★ 1 cited
Shape-Margin Knowledge Augmented Network for Thyroid Nodule Segmentation and Diagnosis
Weihua Liu, Chaochao Lin
Thyroid nodule segmentation is a crucial step in the diagnostic procedure of physicians and computer-aided diagnosis systems. Mostly, current studies treat segmentation and diagnos…