Hayoung Choi

Orcid: 0000-0003-0874-3864

According to our database1, Hayoung Choi authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improved weight initialization for deep and narrow feedforward neural network.
Neural Networks, 2024

Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis.
CoRR, 2024

Improved identification of breakpoints in piecewise regression and its applications.
CoRR, 2024

Geometric mean for T-positive definite tensors and associated Riemannian geometry.
CoRR, 2024

2022
Algorithm Unrolling for Massive Access via Deep Neural Networks With Theoretical Guarantee.
IEEE Trans. Wirel. Commun., 2022

Sparse and Low-Rank Optimization for Pliable Index Coding via Alternating Projection.
IEEE Trans. Commun., 2022

Choice of an initial guess for Newton's method to solve nonlinear differential equations.
Comput. Math. Appl., 2022

Hardware-Efficient Barrel Shifter Design Using Customized Dynamic Logic Based MUX.
Proceedings of the 19th International SoC Design Conference, 2022

2021
Large-Scale Beamforming for Massive MIMO via Randomized Sketching.
IEEE Trans. Veh. Technol., 2021

Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee.
CoRR, 2021

2020
An Algebraic-Geometric Approach for Linear Regression Without Correspondences.
IEEE Trans. Inf. Theory, 2020

Catalan-like number sequences and Hausdorff moment sequences.
Discret. Math., 2020

2019
Large-Scale Beamforming for Massive MIMO via Randomized Sketching.
CoRR, 2019

Comparing large-scale graphs based on quantum probability theory.
Appl. Math. Comput., 2019

Algebraically-initialized Expectation Maximization for Header-free Communication.
Proceedings of the IEEE International Conference on Acoustics, 2019

Randomized Sketching Based Beamforming for Massive MIMO.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Fast Computing von Neumann Entropy for Large-scale Graphs via Quadratic Approximations.
CoRR, 2018

An Algebraic-Geometric Approach to Shuffled Linear Regression.
CoRR, 2018

Innovation Topic Analysis of Technology: The Case of Augmented Reality Patents.
IEEE Access, 2018

Permuted Linear Model for Header-Free Communication via Symmetric Polynomials.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Comparing Massive Networks via Moment Matrices.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

TCEP: Traffic Consolidation for Energy-Proportional High-Radix Networks.
Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

Randomized Method for Estimating the Von Neumann Entropy of Large-Scale Density Matrices.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Semantic virtualization for Edge-IoT cloud: issues and challenges.
Proceedings of the 2nd Workshop on Cloud-Assisted Networking, 2017


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