activity
20162021
most citedAlgorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee

2 citations · 2 across the 2 of their papers we have counts for

collaborators

10 papers

cs.IT20212 cited

Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee

Yandong Shi, Hayoung Choi, Yuanming Shi +1

Massive access is a critical design challenge of Internet of Things (IoT) networks. In this paper, we consider the grant-free uplink transmission of an IoT network with a multiple-…

math.FA2020

Any multi-index sequence has an interpolating measure

Hayoung Choi, Seonguk Yoo

R. P. Boas showed that any single-index sequence of real numbers can be represented as (), where…

cs.IT2019

Large-Scale Beamforming for Massive MIMO via Randomized Sketching

Hayoung Choi, Tao Jiang, Yuanming Shi +2

Massive MIMO system yields significant improvements in spectral and energy efficiency for future wireless communication systems. The regularized zero-forcing (RZF) beamforming is a…

cs.IT2018

Fast computation of von Neumann entropy for large-scale graphs via quadratic approximations

Hayoung Choi, Jinglian He, Hang Hu +1

The von Neumann graph entropy (VNGE) can be used as a measure of graph complexity, which can be the measure of information divergence and distance between graphs. However, computin…

math.FA2018

Geometric Mean of Partial Positive Definite Matrices with Missing Entries

Hayoung Choi, Sejong Kim, Yuanming Shi

In this paper the geometric mean of partial positive definite matrices with missing entries is considered. The weighted geometric mean of two sets of positive matrices is defined,…

cs.LG2018

An algebraic-geometric approach for linear regression without correspondences

Manolis C. Tsakiris, Liangzu Peng, Aldo Conca +3

Linear regression without correspondences is the problem of performing a linear regression fit to a dataset for which the correspondences between the independent samples and the ob…