| Modern nonconvex nondifferentiable optimization Y Cui, JS Pang Society for Industrial and Applied Mathematics, 2021 | 86 | 2021 |
| Composite difference-max programs for modern statistical estimation problems Y Cui, JS Pang, B Sen SIAM Journal on Optimization 28 (4), 3344-3374, 2018 | 84 | 2018 |
| On the R-superlinear convergence of the KKT residuals generated by the augmented Lagrangian method for convex composite conic programming Y Cui, D Sun, KC Toh Mathematical Programming 178, 381-415, 2019 | 80* | 2019 |
| On the convergence properties of a majorized alternating direction method of multipliers for linearly constrained convex optimization problems with coupled objective functions Y Cui, X Li, D Sun, KC Toh Journal of Optimization Theory and Applications 169, 1013-1041, 2016 | 79* | 2016 |
| Sparse estimation of high-dimensional correlation matrices Y Cui, C Leng, D Sun Computational Statistics & Data Analysis 93, 390-403, 2016 | 44 | 2016 |
| Quadratic growth conditions for convex matrix optimization problems associated with spectral functions Y Cui, C Ding, X Zhao SIAM Journal on Optimization 27 (4), 2332-2355, 2017 | 40 | 2017 |
| Clustering by orthogonal NMF model and non-convex penalty optimization S Wang, TH Chang, Y Cui, JS Pang IEEE Transactions on Signal Processing 69, 5273-5288, 2021 | 36 | 2021 |
| Two-stage stochastic programming with linearly bi-parameterized quadratic recourse J Liu, Y Cui, JS Pang, S Sen SIAM Journal on Optimization 30 (3), 2530-2558, 2020 | 29 | 2020 |
| Estimation of individualized decision rules based on an optimized covariate-dependent equivalent of random outcomes Z Qi, Y Cui, Y Liu, JS Pang SIAM Journal on Optimization 29 (3), 2337-2362, 2019 | 29* | 2019 |
| Multicomposite nonconvex optimization for training deep neural networks Y Cui, Z He, JS Pang SIAM Journal on Optimization 30 (2), 1693-1723, 2020 | 24 | 2020 |
| Clustering by orthogonal non-negative matrix factorization: A sequential non-convex penalty approach S Wang, TH Chang, Y Cui, JS Pang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| A study of piecewise linear-quadratic programs Y Cui, TH Chang, M Hong, JS Pang Journal of Optimization Theory and Applications 186, 523-553, 2020 | 21 | 2020 |
| Solving nonsmooth and nonconvex compound stochastic programs with applications to risk measure minimization J Liu, Y Cui, JS Pang Mathematics of Operations Research 47 (4), 3051-3083, 2022 | 19 | 2022 |
| No panic in pandemic: The impact of individual choice on public health policy M Bai, Y Cui, G Kong, AZ Zhang Manufacturing & Service Operations Management, 2024 | 18* | 2024 |
| Nonconvex and nonsmooth approaches for affine chance-constrained stochastic programs Y Cui, J Liu, JS Pang Set-Valued and Variational Analysis 30 (3), 1149-1211, 2022 | 15 | 2022 |
| Asymptotic properties of stationary solutions of coupled nonconvex nonsmooth empirical risk minimization Z Qi, Y Cui, Y Liu, JS Pang Mathematics of Operations Research 47 (3), 2034-2064, 2022 | 15* | 2022 |
| Comparing solution paths of sparse quadratic minimization with a Stieltjes matrix Z He, S Han, A Gómez, Y Cui, JS Pang Mathematical Programming 204 (1), 517-566, 2024 | 11 | 2024 |
| On efficient and scalable computation of the nonparametric maximum likelihood estimator in mixture models Y Zhang, Y Cui, B Sen, KC Toh Journal of Machine Learning Research 25 (8), 1-46, 2024 | 10 | 2024 |
| Augmented Lagrangian methods for convex matrix optimization problems Y Cui, C Ding, XD Li, XY Zhao Journal of the Operations Research Society of China 10 (2), 305-342, 2022 | 8 | 2022 |
| A complete characterization of the robust isolated calmness of nuclear norm regularized convex optimization problems Y Cui, D Sun Journal of Computational Mathematics, 441-458, 2018 | 8 | 2018 |
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
