447 citations · 782 across the 31 of their papers we have counts for
6 papers · 1 filter
Low-rank Matrix Recovery With Unknown Correspondence
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye +1
We study a matrix recovery problem with unknown correspondence: given the observation matrix , where is an unknown permutation matrix, we aim to reco…
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian, Yunmei Chen, Xiaojing Ye +1
Purpose: This work aims at developing a generalizable MRI reconstruction model in the meta-learning framework. The standard benchmarks in meta-learning are challenged by learning o…
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation
Nathan Gaby, Fumin Zhang, Xiaojing Ye
We develop a versatile deep neural network architecture, called Lyapunov-Net, to approximate Lyapunov functions of dynamical systems in high dimensions. Lyapunov-Net guarantees pos…
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities
Wanyu Bian, Yunmei Chen, Xiaojing Ye
Goal: This work aims at developing a novel calibration-free fast parallel MRI (pMRI) reconstruction method incorporate with discrete-time optimal control framework. The reconstruct…
Influence Estimation and Maximization via Neural Mean-Field Dynamics
Shushan He, Hongyuan Zha, Xiaojing Ye
We propose a novel learning framework using neural mean-field (NMF) dynamics for inference and estimation problems on heterogeneous diffusion networks. Our new framework leverages…
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction
Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia +3
We propose a provably convergent method, called Efficient Learned Descent Algorithm (ELDA), for low-dose CT (LDCT) reconstruction. ELDA is a highly interpretable neural network arc…