Ying Cui

According to our database, Ying Cui authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Decomposition Algorithm for Two-Stage Stochastic Programs with Nonconvex Recourse Functions.

Hanyang Li, Ying Cui

SIAM J. Optim., March, 2024

Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix.

Ziyu He, Shaoning Han, Andrés Gómez, Ying Cui, Jong-Shi Pang

Math. Program., March, 2024

Towards Global Solutions for Nonconvex Two-Stage Stochastic Programs: A Polynomial Lower Approximation Approach.

Suhan Zhong, Ying Cui, Jiawang Nie

SIAM J. Optim., 2024

2023

Convex and Nonconvex Risk-Based Linear Regression at Scale.

Can Wu, Ying Cui, Donghui Li, Defeng Sun

INFORMS J. Comput., 2023

2022

Solving Nonsmooth and Nonconvex Compound Stochastic Programs with Applications to Risk Measure Minimization.

Junyi Liu, Ying Cui, Jong-Shi Pang

Math. Oper. Res., November, 2022

Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization.

Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang

Math. Oper. Res., 2022

On Degenerate Doubly Nonnegative Projection Problems.

Ying Cui, Ling Liang, Defeng Sun, Kim-Chuan Toh

Math. Oper. Res., 2022

2021

Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization.

Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang

IEEE Trans. Signal Process., 2021

Nonconvex robust programming via value-function optimization.

Ying Cui, Ziyu He, Jong-Shi Pang

Comput. Optim. Appl., 2021

2020

Two-Stage Stochastic Programming with Linearly Bi-parameterized Quadratic Recourse.

Junyi Liu, Ying Cui, Jong-Shi Pang, Suvrajeet Sen

SIAM J. Optim., 2020

MultiComposite Nonconvex Optimization for Training Deep Neural Networks.

Ying Cui, Ziyu He, Jong-Shi Pang

SIAM J. Optim., 2020

A Study of Piecewise Linear-Quadratic Programs.

Ying Cui, Tsung-Hui Chang, Mingyi Hong, Jong-Shi Pang

J. Optim. Theory Appl., 2020

2019

Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes.

Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang

SIAM J. Optim., 2019

Computing the Best Approximation over the Intersection of a Polyhedral Set and the Doubly Nonnegative Cone.

Ying Cui, Defeng Sun, Kim-Chuan Toh

SIAM J. Optim., 2019

On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming.

Ying Cui, Defeng Sun, Kim-Chuan Toh

Math. Program., 2019

Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization.

Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang

CoRR, 2019

Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach.

Shuai Wang, Tsung-Hui Chang, Ying Cui, Jong-Shi Pang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Composite Difference-Max Programs for Modern Statistical Estimation Problems.

Ying Cui, Jong-Shi Pang, Bodhisattva Sen

SIAM J. Optim., 2018

2017

Quadratic Growth Conditions for Convex Matrix Optimization Problems Associated with Spectral Functions.

Ying Cui, Chao Ding, Xinyuan Zhao

SIAM J. Optim., 2017

2016

On the Convergence Properties of a Majorized Alternating Direction Method of Multipliers for Linearly Constrained Convex Optimization Problems with Coupled Objective Functions.

Ying Cui, Xudong Li, Defeng Sun, Kim-Chuan Toh

J. Optim. Theory Appl., 2016

Sparse estimation of high-dimensional correlation matrices.

Ying Cui, Chenlei Leng, Defeng Sun

Comput. Stat. Data Anal., 2016