| 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 | 34 | 2012 |
| 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 | 31 | 2016 |
| 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 | 30 | 2015 |
| 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 | 24* | 2021 |
| Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces S Cui, U Shanbhag, M Staudigl, P Vuong Computational Optimization and Applications 83 (2), 465-524, 2022 | 10 | 2022 |
| On the computation of equilibria in monotone and potential stochastic hierarchical games S Cui, UV Shanbhag Mathematical Programming 198 (2), 1227-1285, 2023 | 9 | 2023 |
| Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs S Cui, UV Shanbhag, F Yousefian Mathematical Programming 198 (2), 1153-1225, 2023 | 8 | 2023 |
| 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 | 8 | 2021 |
| Variance-reduced splitting schemes for monotone stochastic generalized equations S Cui, UV Shanbhag IEEE Transactions on Automatic Control 68 (11), 6636-6648, 2023 | 7* | 2023 |
| A regularized variance-reduced modified extragradient method for stochastic hierarchical games S Cui, UV Shanbhag, M Staudigl arXiv preprint arXiv:2302.06497, 2023 | 1 | 2023 |
| Applying Machine Learning in Game AI Design Y Du, S Cui, S Guo | 1 | 2009 |
| Stochastic Variational & Hierarchical Problems: Models, Algorithms, and Applications to Transmission Expansion Problems S Cui The Pennsylvania State University, 2019 | | 2019 |
Uday V. ShanbhagProfessor, Industrial and Manufacturing Engineering, Pennsylvania State UniversityBestätigte E-Mail-Adresse bei psu.edu
