114 citations · 223 across the 8 of their papers we have counts for
8 papers
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding
Chunyan Xiong, Mengli Lu, Xiaotong Yu +4
Soft-thresholding has been widely used in neural networks. Its basic network structure is a two-layer convolution neural network with soft-thresholding. Due to the network's nature…
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Xiaobo Qu, Yihui Huang, Hengfa Lu +5
Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept…
Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery -- Application in Fast NMR Spectroscopy
Jiaxi Ying, Jian-Feng Cai, Di Guo +3
Many signals are modeled as a superposition of exponential functions in spectroscopy of chemistry, biology and medical imaging. This paper studies the problem of recovering exponen…
Accelerated Magnetic Resonance Spectroscopy with Vandermonde Factorization
Xiaobo Qu, Jiaxi Ying, Jian-Feng Cai +1
Multi-dimensional magnetic resonance spectroscopy is an important tool for studying molecular structures, interactions and dynamics in bio-engineering. The data acquisition time, h…
Hankel Matrix Nuclear Norm Regularized Tensor Completion for -dimensional Exponential Signals
Jiaxi Ying, Hengfa Lu, Qingtao Wei +5
Signals are generally modeled as a superposition of exponential functions in spectroscopy of chemistry, biology and medical imaging. For fast data acquisition or other inevitable r…
Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging
Yunsong Liu, Zhifang Zhan, Jian-Feng Cai +3
Compressed sensing has shown great potentials in accelerating magnetic resonance imaging. Fast image reconstruction and high image quality are two main issues faced by this new tec…