Jie Jiang

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Variance-based stochastic projection gradient method for two-stage co-coercive stochastic variational inequalities.
Numer. Algorithms
Bin Zhou, Jie Jiang, Yongzhong Song, Hailin Sun
2024 J jnl
A Quasi-Newton Subspace Trust Region Algorithm for Nonmonotone Variational Inequalities in Adversarial Learning over Box Constraints.
J. Sci. Comput.
Zicheng Qiu, Jie Jiang, Xiaojun Chen
2024 J jnl
Data-Driven Distributionally Robust Multiproduct Pricing Problems under Pure Characteristics Demand Models.
SIAM J. Optim.
Jie Jiang, Hailin Sun, Xiaojun Chen
2024 J jnl
Discrete approximation for two-stage stochastic variational inequalities.
J. Glob. Optim.
Jie Jiang, Hailin Sun
2024 J jnl
Distributionally Robust Variational Inequalities: Relaxation, Quantification and Discretization.
J. Optim. Theory Appl.
Jie Jiang
2024 J jnl
Dynamic stochastic projection method for multistage stochastic variational inequalities.
Comput. Optim. Appl.
Bin Zhou, Jie Jiang, Hailin Sun
2024 J jnl
Mathematical programs with distributionally robust chance constraints: Statistical robustness, discretization and reformulation.
Eur. J. Oper. Res.
Jie Jiang, Shen Peng
2023 J jnl
Monotonicity and Complexity of Multistage Stochastic Variational Inequalities.
J. Optim. Theory Appl.
Jie Jiang, Hailin Sun
2023 J jnl
Optimality Conditions for Nonsmooth Nonconvex-Nonconcave Min-Max Problems and Generative Adversarial Networks.
SIAM J. Math. Data Sci.
Jie Jiang, Xiaojun Chen
2023 J jnl
Pure characteristics demand models and distributionally robust mathematical programs with stochastic complementarity constraints.
Math. Program.
Jie Jiang, Xiaojun Chen
2022 J jnl
Convergence analysis of sample average approximation for a class of stochastic nonlinear complementarity problems: from two-stage to multistage.
Numer. Algorithms
Jie Jiang, Hailin Sun, Bin Zhou
2022 J jnl
Statistical robustness of two-stage stochastic variational inequalities.
Optim. Lett.
Jie Jiang, Shengjie Li
2021 J jnl
On complexity of multistage stochastic programs under heavy tailed distributions.
Oper. Res. Lett.
Jie Jiang, Shengjie Li
2021 J jnl
Quantitative Stability and Empirical Approximation of Risk-Averse Models Induced by Two-Stage Stochastic Programs with Full Random Recourse.
Asia Pac. J. Oper. Res.
Zhiping Chen, He Hu, Jie Jiang
2021 J jnl
Regularized Sample Average Approximation Approach for Two-Stage Stochastic Variational Inequalities.
J. Optim. Theory Appl.
Jie Jiang, Shengjie Li
2021 J jnl
Stochastic mathematical programs with probabilistic complementarity constraints: SAA and distributionally robust approaches.
Comput. Optim. Appl.
Shen Peng, Jie Jiang
2020 J jnl
Quantitative analysis for a class of two-stage stochastic linear variational inequality problems.
Comput. Optim. Appl.
Jie Jiang, Xiaojun Chen, Zhiping Chen
2020 J jnl
Quantitative stability of fully random two-stage stochastic programs with mixed-integer recourse.
Optim. Lett.
Zhiping Chen, Jie Jiang
2018 J jnl
Quantitative stability of multistage stochastic programs via calm modifications.
Oper. Res. Lett.
Jie Jiang, Zhiping Chen
2018 J jnl
Stability Analysis of Optimization Problems with kth order stochastic and distributionally robust dominance constraints induced by full random recourse.
SIAM J. Optim.
Zhiping Chen, Jie Jiang