4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2016
Scalable Compression of Deep Neural Networks
Xing Wang, Jie Liang
Deep neural networks generally involve some layers with mil- lions of parameters, making them difficult to be deployed and updated on devices with limited resources such as mobile…
cs.IT2015★ 4 cited
Multi-Resolution Compressed Sensing via Approximate Message Passing
Xing Wang, Jie Liang
In this paper, we consider the problem of multi-resolution compressed sensing (MR-CS) reconstruction, which has received little attention in the literature. Instead of always recon…
cs.IT2013
Approximate Message Passing-based Compressed Sensing Reconstruction with Generalized Elastic Net Prior
Xing Wang, Jie Liang
In this paper, we study the compressed sensing reconstruction problem with generalized elastic net prior (GENP), where a sparse signal is sampled via a noisy underdetermined linear…