Hailin Sun

According to our database, Hailin Sun authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dynamic stochastic projection method for multistage stochastic variational inequalities.

Bin Zhou, Jie Jiang, Hailin Sun

Comput. Optim. Appl., November, 2024

Discrete approximation for two-stage stochastic variational inequalities.

Jie Jiang, Hailin Sun

J. Glob. Optim., May, 2024

Data-Driven Distributionally Robust Multiproduct Pricing Problems under Pure Characteristics Demand Models.

Jie Jiang, Hailin Sun, Xiaojun Chen

SIAM J. Optim., 2024

2023

Decision bounding problems for two-stage distributionally robust stochastic bilevel optimization.

Xiaojiao Tong, Manlan Li, Hailin Sun

J. Glob. Optim., November, 2023

Monotonicity and Complexity of Multistage Stochastic Variational Inequalities.

Jie Jiang, Hailin Sun

J. Optim. Theory Appl., February, 2023

Distributionally robust stochastic variational inequalities.

Hailin Sun, Alexander Shapiro, Xiaojun Chen

Math. Program., 2023

Towards Dual Optimization of Efficiency and Accuracy: Hyper Billion Scale Model Computing Platform for Address Services.

Dongxiao Jiang, Hailin Sun, Jiahua Lin, Jie Jiang, Xing Sun, Yanchi Li, Bocheng Xia, Siyuan Xiao, Yulong Liu

Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

2022

Convergence analysis of sample average approximation for a class of stochastic nonlinear complementarity problems: from two-stage to multistage.

Jie Jiang, Hailin Sun, Bin Zhou

Numer. Algorithms, 2022

A modified exchange algorithm for distributional robust optimization and applications in risk management.

Hailin Sun, Dali Zhang, Soon-Yi Wu, Liang Cheng

Int. Trans. Oper. Res., 2022

2021

Using Minimum Component and CNN for Satellite Remote Sensing Image Cloud Detection.

Hailin Sun, Li Li, Mai Xu, Qinpeng Li, Zheng Huang

IEEE Geosci. Remote. Sens. Lett., 2021

A vehicle routing problem with distribution uncertainty in deadlines.

Dali Zhang, Dong Li, Hailin Sun, Liwen Hou

Eur. J. Oper. Res., 2021

Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems.

Yannan Chen, Hailin Sun, Huifu Xu

Comput. Optim. Appl., 2021

2020

The subdifferential of measurable composite max integrands and smoothing approximation.

James V. Burke, Xiaojun Chen, Hailin Sun

Math. Program., 2020

A derivative-free algorithm for spherically constrained optimization.

Min Xi, Wenyu Sun, Yannan Chen, Hailin Sun

J. Glob. Optim., 2020

Global Biased Pruning Considering Layer Contribution.

Zheng Huang, Li Li, Hailin Sun

IEEE Access, 2020

2019

Convergence Analysis of Sample Average Approximation of Two-Stage Stochastic Generalized Equations.

Xiaojun Chen, Alexander Shapiro, Hailin Sun

SIAM J. Optim., 2019

Discrete approximation of two-stage stochastic and distributionally robust linear complementarity problems.

Xiaojun Chen, Hailin Sun, Huifu Xu

Math. Program., 2019

2018

Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods.

Huifu Xu, Yongchao Liu, Hailin Sun

Math. Program., 2018

Distributionally robust chance constrained optimization for economic dispatch in renewable energy integrated systems.

Xiaojiao Tong, Hailin Sun, Xiao Luo, Quanguo Zheng

J. Glob. Optim., 2018

2017

SAA-regularized methods for multiproduct price optimization under the pure characteristics demand model.

Hailin Sun, Che-Lin Su, Xiaojun Chen

Math. Program., 2017

2016

Convergence Analysis for Distributionally Robust Optimization and Equilibrium Problems.

Hailin Sun, Huifu Xu

Math. Oper. Res., 2016

Assortative matching and risk sharing.

Sanxi Li, Hailin Sun, Tong Wang, Jun Yu

J. Econ. Theory, 2016

2015

Regularized Mathematical Programs with Stochastic Equilibrium Constraints: Estimating Structural Demand Models.

Xiaojun Chen, Hailin Sun, Roger J.-B. Wets

SIAM J. Optim., 2015

2014

Convergence analysis of stationary points in sample average approximation of stochastic programs with second order stochastic dominance constraints.

Hailin Sun, Huifu Xu

Math. Program., 2014

Asymptotic Analysis of Sample Average Approximation for Stochastic Optimization Problems with Joint Chance Constraints via Conditional Value at Risk and Difference of Convex Functions.

Hailin Sun, Huifu Xu, Yong Wang

J. Optim. Theory Appl., 2014

2013

Exact Penalization, Level Function Method, and Modified Cutting-Plane Method for Stochastic Programs with Second Order Stochastic Dominance Constraints.

Hailin Sun, Huifu Xu, Rudabeh Meskarian, Yong Wang

SIAM J. Optim., 2013

A smoothing penalized Sample Average Approximation Method for Stochastic Programs with Second-Order Stochastic Dominance Constraints.

Hailin Sun, Huifu Xu, Yong Wang

Asia Pac. J. Oper. Res., 2013