Ying Cui

Ying Cui

University of Minnesota-Twin Cities

H-index: 14

North America-United States

About Ying Cui

Ying Cui, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Data science, optimization, decision making under uncertainty, large scale computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix

On efficient and scalable computation of the nonparametric maximum likelihood estimator in mixture models

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

Convex and Nonconvex Risk-Based Linear Regression at Scale

Implications of Solution Patterns on Adversarial Robustness

Direct Metric Optimization for Imbalanced Classification

Optimization for Robustness Evaluation Beyond ℓp Metrics

On Algorithms for Projection onto the Top--sum Constraint

Ying Cui Information

University

Position

___

Citations(all)

573

Citations(since 2020)

490

Cited By

227

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Ying Cui Skills & Research Interests

Data science

optimization

decision making under uncertainty

large scale computation

Top articles of Ying Cui

Title

Journal

Author(s)

Publication Date

Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix

Mathematical Programming

Ziyu He

Shaoning Han

Andres Gomez

Ying Cui

Jong-Shi Pang

2023

On efficient and scalable computation of the nonparametric maximum likelihood estimator in mixture models

Journal of Machine Learning Research

Yangjing Zhang

Ying Cui

Bodhisattva Sen

Kim-Chuan Toh

2024

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

SIAM Journal on Optimization

Hanyang Li

Ying Cui

2024/3/31

Convex and Nonconvex Risk-Based Linear Regression at Scale

INFORMS Journal on Computing

Can Wu

Ying Cui

Donghui Li

Defeng Sun

2023/7

Implications of Solution Patterns on Adversarial Robustness

The 3rd Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness (in conjunction with CVPR 2023)

Hengyue Liang

Buyun Liang

Ju Sun

Ying Cui

Tim Mitchell

2023

Direct Metric Optimization for Imbalanced Classification

Yash Travadi

Le Peng

Ying Cui

Ju Sun

2023/6/26

Optimization for Robustness Evaluation Beyond ℓp Metrics

Hengyue Liang

Buyun Liang

Ying Cui

Tim Mitchell

Ju Sun

2023/6/4

On Algorithms for Projection onto the Top--sum Constraint

arXiv preprint arXiv:2310.07224

Jake Roth

Ying Cui

2023/10/11

The minimization of piecewise functions: Pseudo stationarity

arXiv preprint arXiv:2305.14798

Ying Cui

Junyi Liu

Jong-Shi Pang

2023/5/24

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

arXiv e-prints

Suhan Zhong

Ying Cui

Jiawang Nie

2023/10

Optimization and optimizers for adversarial robustness

arXiv preprint arXiv:2303.13401

Hengyue Liang

Buyun Liang

Le Peng

Ying Cui

Tim Mitchell

...

2023/3/23

Variational theory and algorithms for a class of asymptotically approachable nonconvex problems

arXiv preprint arXiv:2307.00780

Hanyang Li

Ying Cui

2023/7/3

Asymptotic properties of stationary solutions of coupled nonconvex nonsmooth empirical risk minimization

Mathematics of Operations Research

Zhengling Qi

Ying Cui

Yufeng Liu

Jong-Shi Pang

2022/8

Solving nonsmooth and nonconvex compound stochastic programs with applications to risk measure minimization

Mathematics of Operations Research

Junyi Liu

Ying Cui

Jong-Shi Pang

2022/11

Imbalanced classification in medical imaging via regrouping

arXiv preprint arXiv:2210.12234

Le Peng

Yash Travadi

Rui Zhang

Ying Cui

Ju Sun

2022/10/21

Optimization for Robustness Evaluation beyond Metrics

arXiv preprint arXiv:2210.00621

Hengyue Liang

Buyun Liang

Ying Cui

Tim Mitchell

Ju Sun

2022/10/2

On Degenerate Doubly Nonnegative Projection Problems

Mathematics of Operations Research

Ying Cui

Ling Liang

Defeng Sun

Kim-Chuan Toh

2022/8

Nonconvex and nonsmooth approaches for affine chance-constrained stochastic programs

Set-Valued and Variational Analysis

Ying Cui

Junyi Liu

Jong-Shi Pang

2022/9

Augmented Lagrangian methods for convex matrix optimization problems

Journal of the Operations Research Society of China

Ying Cui

Chao Ding

Xu-Dong Li

Xin-Yuan Zhao

2022/6

Clustering by orthogonal NMF model and non-convex penalty optimization

IEEE Transactions on Signal Processing

Shuai Wang

Tsung-Hui Chang

Ying Cui

Jong-Shi Pang

2021/8/6

See List of Professors in Ying Cui University(University of Minnesota-Twin Cities)

Co-Authors

H-index: 58
Mingyi Hong

Mingyi Hong

University of Minnesota-Twin Cities

H-index: 53
Kim-Chuan Toh

Kim-Chuan Toh

National University of Singapore

H-index: 31
Bodhisattva Sen

Bodhisattva Sen

Columbia University in the City of New York

H-index: 18
Ju Sun

Ju Sun

University of Minnesota-Twin Cities

H-index: 15
Andres Gomez

Andres Gomez

University of Southern California

H-index: 13
Xudong Li

Xudong Li

Fudan University

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