| On the analysis of variance-reduced and randomized projection variants of single projection schemes for monotone stochastic variational inequality problems S Cui, UV Shanbhag Set-Valued and Variational Analysis 29 (2), 453-499, 2021 | 40 | 2021 |
| On the analysis of reflected gradient and splitting methods for monotone stochastic variational inequality problems S Cui, UV Shanbhag 2016 IEEE 55th conference on decision and control (CDC), 4510-4515, 2016 | 39 | 2016 |
| New predictive control scheme for networked control systems B Liu, Y Xia, MS Mahmoud, H Wu, S Cui Circuits, Systems, and Signal Processing 31 (3), 945-960, 2012 | 38 | 2012 |
| The AMEDD uses goal programming to optimize workforce planning decisions ND Bastian, P McMurry, LV Fulton, PM Griffin, S Cui, T Hanson, S Srinivas Interfaces 45 (4), 305-324, 2015 | 34 | 2015 |
| Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs S Cui, UV Shanbhag, F Yousefian Mathematical Programming 198 (2), 1153-1225, 2023 | 23 | 2023 |
| Variance-reduced splitting schemes for monotone stochastic generalized equations S Cui, UV Shanbhag IEEE Transactions on Automatic Control 68 (11), 6636-6648, 2023 | 15* | 2023 |
| On the computation of equilibria in monotone and potential stochastic hierarchical games S Cui, UV Shanbhag Mathematical Programming 198 (2), 1227-1285, 2023 | 13 | 2023 |
| Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces S Cui, UV Shanbhag, M Staudigl, P Vuong Computational Optimization and Applications 83 (2), 465-524, 2022 | 13 | 2022 |
| A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking S Cui, B Franci, S Grammatico, UV Shanbhag, M Staudigl 2021 60th IEEE Conference on Decision and Control (CDC), 197-202, 2021 | 12 | 2021 |
| Adaptive Dynamic Programming for Optimal Control of Unknown LTI System via Interval Excitation YS Ma, J Sun, Y Xu, SS Cui, ZG Wu IEEE Transactions on Automatic Control 70 (7), 4896-4903, 2025 | 10 | 2025 |
| State Estimation With Nonlinear Inequality Constraints for Small Celestial Body Flexible Landing P Cui, Z Chen, D Ge, S Zhu, S Cui IEEE Transactions on Aerospace and Electronic Systems 61 (2), 4155-4167, 2025 | 3 | 2025 |
| Distributed Algorithms via Saddle-Point Dynamics for Multi-Robot Task Assignment Y Huang, J Kuai, S Cui, Z Meng, J Sun IEEE Robotics and Automation Letters 9 (12), 11178-11185, 2024 | 3 | 2024 |
| Arbitrary Entropy Policy Optimization: Entropy Is Controllable in Reinforcement Finetuning C Wang, Z Li, J Bai, Y Zhang, S Cui, Z Zhao, Y Wang arXiv e-prints, arXiv: 2510.08141, 2025 | 2 | 2025 |
| A Regularized Variance-Reduced Modified Extragradient Method for Stochastic Hierarchical Games S Cui, UV Shanbhag, M Staudigl Journal of Optimization Theory and Applications 206, 11, 2025 | 2 | 2025 |
| Regularized Federated Methods with Universal Guarantees for Simple Bilevel Optimization M Ebrahimi, Y Qiu, S Cui, F Yousefian arXiv preprint arXiv:2503.08634, 2025 | 2 | 2025 |
| Stochastic Frank-Wolfe Algorithm for Constrained Bilevel Optimization with Improved Per-iteration Complexity J Hou, X Zeng, S Cui, X Jiang, J Sun IEEE Transactions on Signal Processing 73, 3237-3252, 2025 | 1 | 2025 |
| Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems X Jiang, L Zhu, AMC So, S Cui, J Sun arXiv preprint arXiv:2410.04761, 2024 | 1 | 2024 |
| Stochastic Variational & Hierarchical Problems: Models, Algorithms, and Applications to Transmission Expansion Problems S Cui The Pennsylvania State University, 2019 | 1 | 2019 |
| Applying Machine Learning in Game AI Design Y Du, S Cui, S Guo | 1 | 2009 |
| Distributed stochastic constrained optimization with constant step-sizes via saddle-point dynamics Y Huang, S Cui, X Zeng, Z Meng Automatica 183, 112575, 2026 | | 2026 |
Uday V. ShanbhagProfessor, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.Verified email at umich.edu
