1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz +3
Quantization plays an important role in the energy-efficient deployment of deep neural networks on resource-limited devices. Post-training quantization is highly desirable since it…
stat.ML2018
Low-Rank Phase Retrieval via Variational Bayesian Learning
Kaihui Liu, Jiayi Wang, Zhengli Xing +2
In this paper, we consider the problem of low-rank phase retrieval whose objective is to estimate a complex low-rank matrix from magnitude-only measurements. We propose a hierarchi…
cs.LG2017★ 1 cited
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
Hang Xiao, Zhengli Xing, Linxiao Yang +2
In this paper, we consider the block-sparse signals recovery problem in the context of multiple measurement vectors (MMV) with common row sparsity patterns. We develop a new method…