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Jie Jiang

Orcid: 0000-0003-3985-8701

Affiliations:
  • Chongqing University, College of Mathematics and Statistics, China
  • Hong Kong Polytechnic University, Department of Applied Mathematics, Hong Kong
  • Xi'an Jiaotong University, School of Mathematics and Statistics, China (PhD 2019)


According to our database1, Jie Jiang authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Mathematical programs with distributionally robust chance constraints: Statistical robustness, discretization and reformulation.
[BibTeX]
[DOI]
Jie Jiang
,
Shen Peng
Eur. J. Oper. Res., March, 2024

2023
Optimality Conditions for Nonsmooth Nonconvex-Nonconcave Min-Max Problems and Generative Adversarial Networks.
[BibTeX]
[DOI]
Jie Jiang
,
Xiaojun Chen
SIAM J. Math. Data Sci., September, 2023

Pure characteristics demand models and distributionally robust mathematical programs with stochastic complementarity constraints.
[BibTeX]
[DOI]
Jie Jiang
,
Xiaojun Chen
Math. Program., April, 2023

Monotonicity and Complexity of Multistage Stochastic Variational Inequalities.
[BibTeX]
[DOI]
Jie Jiang
,
Hailin Sun
J. Optim. Theory Appl., February, 2023

2022
Statistical robustness of two-stage stochastic variational inequalities.
[BibTeX]
[DOI]
Jie Jiang
,
Shengjie Li
Optim. Lett., 2022

Convergence analysis of sample average approximation for a class of stochastic nonlinear complementarity problems: from two-stage to multistage.
[BibTeX]
[DOI]
Jie Jiang
,
Hailin Sun
,
Bin Zhou
Numer. Algorithms, 2022

2021
On complexity of multistage stochastic programs under heavy tailed distributions.
[BibTeX]
[DOI]
Jie Jiang
,
Shengjie Li
Oper. Res. Lett., 2021

Regularized Sample Average Approximation Approach for Two-Stage Stochastic Variational Inequalities.
[BibTeX]
[DOI]
Jie Jiang
,
Shengjie Li
J. Optim. Theory Appl., 2021

Stochastic mathematical programs with probabilistic complementarity constraints: SAA and distributionally robust approaches.
[BibTeX]
[DOI]
Shen Peng
,
Jie Jiang
Comput. Optim. Appl., 2021

Quantitative Stability and Empirical Approximation of Risk-Averse Models Induced by Two-Stage Stochastic Programs with Full Random Recourse.
[BibTeX]
[DOI]
Zhiping Chen
,
He Hu
,
Jie Jiang
Asia Pac. J. Oper. Res., 2021

2020
Quantitative stability of fully random two-stage stochastic programs with mixed-integer recourse.
[BibTeX]
[DOI]
Zhiping Chen
,
Jie Jiang
Optim. Lett., 2020

Quantitative analysis for a class of two-stage stochastic linear variational inequality problems.
[BibTeX]
[DOI]
Jie Jiang
,
Xiaojun Chen
,
Zhiping Chen
Comput. Optim. Appl., 2020

2018
Stability Analysis of Optimization Problems with kth order stochastic and distributionally robust dominance constraints induced by full random recourse.
[BibTeX]
[DOI]
Zhiping Chen
,
Jie Jiang
SIAM J. Optim., 2018

Quantitative stability of multistage stochastic programs via calm modifications.
[BibTeX]
[DOI]
Jie Jiang
,
Zhiping Chen
Oper. Res. Lett., 2018


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