Hailin Sun

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Convergence Analysis

Robust Optimization

Top Venues

J. Glob. Optim.

J. Optim. Theory Appl.

Publications

Jie Jiang, Hailin Sun
Discrete approximation for two-stage stochastic variational inequalities. J. Glob. Optim. 89 (1) (2024)
Hailin Sun, Alexander Shapiro, Xiaojun Chen
Distributionally robust stochastic variational inequalities. Math. Program. 200 (1) (2023)
Dongxiao Jiang, Hailin Sun, Jiahua Lin, Jie Jiang, Xing Sun, Yanchi Li, Bocheng Xia, Siyuan Xiao, Yulong Liu
Towards Dual Optimization of Efficiency and Accuracy: Hyper Billion Scale Model Computing Platform for Address Services. CSAI (2023)
Jie Jiang, Hailin Sun
Monotonicity and Complexity of Multistage Stochastic Variational Inequalities. J. Optim. Theory Appl. 196 (2) (2023)
Xiaojiao Tong, Manlan Li, Hailin Sun
Decision bounding problems for two-stage distributionally robust stochastic bilevel optimization. J. Glob. Optim. 87 (2) (2023)
Jie Jiang, Hailin Sun, Bin Zhou
Convergence analysis of sample average approximation for a class of stochastic nonlinear complementarity problems: from two-stage to multistage. Numer. Algorithms 89 (1) (2022)
Hailin Sun, Dali Zhang, Soon-Yi Wu, Liang Cheng
A modified exchange algorithm for distributional robust optimization and applications in risk management. Int. Trans. Oper. Res. 29 (1) (2022)
Dali Zhang, Dong Li, Hailin Sun, Liwen Hou
A vehicle routing problem with distribution uncertainty in deadlines. Eur. J. Oper. Res. 292 (1) (2021)
Hailin Sun, Li Li, Mai Xu, Qinpeng Li, Zheng Huang
Using Minimum Component and CNN for Satellite Remote Sensing Image Cloud Detection. IEEE Geosci. Remote. Sens. Lett. 18 (12) (2021)
Yannan Chen, Hailin Sun, Huifu Xu
Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems. Comput. Optim. Appl. 78 (1) (2021)
James V. Burke, Xiaojun Chen, Hailin Sun
The subdifferential of measurable composite max integrands and smoothing approximation. Math. Program. 181 (2) (2020)
Zheng Huang, Li Li, Hailin Sun
Global Biased Pruning Considering Layer Contribution. IEEE Access 8 (2020)
Min Xi, Wenyu Sun, Yannan Chen, Hailin Sun
A derivative-free algorithm for spherically constrained optimization. J. Glob. Optim. 76 (4) (2020)
Xiaojun Chen, Hailin Sun, Huifu Xu
Discrete approximation of two-stage stochastic and distributionally robust linear complementarity problems. Math. Program. 177 (1-2) (2019)
Xiaojun Chen, Alexander Shapiro, Hailin Sun
Convergence Analysis of Sample Average Approximation of Two-Stage Stochastic Generalized Equations. SIAM J. Optim. 29 (1) (2019)
Xiaojiao Tong, Hailin Sun, Xiao Luo, Quanguo Zheng
Distributionally robust chance constrained optimization for economic dispatch in renewable energy integrated systems. J. Glob. Optim. 70 (1) (2018)
Huifu Xu, Yongchao Liu, Hailin Sun
Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods. Math. Program. 169 (2) (2018)
Hailin Sun, Che-Lin Su, Xiaojun Chen
SAA-regularized methods for multiproduct price optimization under the pure characteristics demand model. Math. Program. 165 (1) (2017)
Sanxi Li, Hailin Sun, Tong Wang, Jun Yu
Assortative matching and risk sharing. J. Econ. Theory 163 (2016)
Hailin Sun, Huifu Xu
Convergence Analysis for Distributionally Robust Optimization and Equilibrium Problems. Math. Oper. Res. 41 (2) (2016)
Xiaojun Chen, Hailin Sun, Roger J.-B. Wets
Regularized Mathematical Programs with Stochastic Equilibrium Constraints: Estimating Structural Demand Models. SIAM J. Optim. 25 (1) (2015)
Hailin Sun, Huifu Xu
Convergence analysis of stationary points in sample average approximation of stochastic programs with second order stochastic dominance constraints. Math. Program. 143 (1-2) (2014)
Hailin Sun, Huifu Xu, Yong Wang
Asymptotic Analysis of Sample Average Approximation for Stochastic Optimization Problems with Joint Chance Constraints via Conditional Value at Risk and Difference of Convex Functions. J. Optim. Theory Appl. 161 (1) (2014)
Hailin Sun, Huifu Xu, Rudabeh Meskarian, Yong Wang
Exact Penalization, Level Function Method, and Modified Cutting-Plane Method for Stochastic Programs with Second Order Stochastic Dominance Constraints. SIAM J. Optim. 23 (1) (2013)
Hailin Sun, Huifu Xu, Yong Wang
A smoothing penalized Sample Average Approximation Method for Stochastic Programs with Second-Order Stochastic Dominance Constraints. Asia Pac. J. Oper. Res. 30 (3) (2013)