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)

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)

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)

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)

Regularized Mathematical Programs with Stochastic Equilibrium Constraints: Estimating Structural Demand Models. - Xiaojun Chen 001; Hailin Sun; Roger J.-B. Wets (SIAM J. Optim., 2015)

Assortative matching and risk sharing. - Sanxi Li; Hailin Sun; Tong Wang 006; Jun Yu (J. Econ. Theory, 2016)

Convergence Analysis for Distributionally Robust Optimization and Equilibrium Problems. - Hailin Sun; Huifu Xu (Math. Oper. Res., 2016)

SAA-regularized methods for multiproduct price optimization under the pure characteristics demand model. - Hailin Sun; Che-Lin Su; Xiaojun Chen 001 (Math. Program., 2017)

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)

Distributionally robust optimization with matrix moment constraints: Lagrange duality and cutting plane methods. - Huifu Xu; Yongchao Liu; Hailin Sun (Math. Program., 2018)

Discrete approximation of two-stage stochastic and distributionally robust linear complementarity problems. - Xiaojun Chen 001; Hailin Sun; Huifu Xu (Math. Program., 2019)

Convergence Analysis of Sample Average Approximation of Two-Stage Stochastic Generalized Equations. - Xiaojun Chen 001; Alexander Shapiro 001; Hailin Sun (SIAM J. Optim., 2019)

Global Biased Pruning Considering Layer Contribution. - Zheng Huang; Li Li; Hailin Sun (IEEE Access, 2020)

A derivative-free algorithm for spherically constrained optimization. - Min Xi; Wenyu Sun; Yannan Chen; Hailin Sun (J. Glob. Optim., 2020)

The subdifferential of measurable composite max integrands and smoothing approximation. - James V. Burke; Xiaojun Chen 001; Hailin Sun (Math. Program., 2020)

Decomposition and discrete approximation methods for solving two-stage distributionally robust optimization problems. - Yannan Chen; Hailin Sun; Huifu Xu (Comput. Optim. Appl., 2021)

A vehicle routing problem with distribution uncertainty in deadlines. - Dali Zhang; Dong Li 005; Hailin Sun; Liwen Hou (Eur. J. Oper. Res., 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 modified exchange algorithm for distributional robust optimization and applications in risk management. - Hailin Sun; Dali Zhang; Soon-Yi Wu; Liang Cheng 006 (Int. Trans. Oper. Res., 2022)

Convergence analysis of sample average approximation for a class of stochastic nonlinear complementarity problems: from two-stage to multistage. - Jie Jiang 003; Hailin Sun; Bin Zhou (Numer. Algorithms, 2022)

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 (CSAI, 2023)

Distributionally robust stochastic variational inequalities. - Hailin Sun; Alexander Shapiro 001; Xiaojun Chen 001 (Math. Program., 2023)

Monotonicity and Complexity of Multistage Stochastic Variational Inequalities. - Jie Jiang 003; Hailin Sun (J. Optim. Theory Appl., 2023)

Decision bounding problems for two-stage distributionally robust stochastic bilevel optimization. - Xiaojiao Tong; Manlan Li; Hailin Sun (J. Glob. Optim., 2023)

Data-Driven Distributionally Robust Multiproduct Pricing Problems under Pure Characteristics Demand Models. - Jie Jiang 003; Hailin Sun; Xiaojun Chen 001 (SIAM J. Optim., 2024)

Discrete approximation for two-stage stochastic variational inequalities. - Jie Jiang 003; Hailin Sun (J. Glob. Optim., 2024)

Dynamic stochastic projection method for multistage stochastic variational inequalities. - Bin Zhou; Jie Jiang 003; Hailin Sun (Comput. Optim. Appl., 2024)

Bayesian Nash Equilibrium in price competition under multinomial logit demand. - Jian Liu; Hailin Sun; Huifu Xu (Eur. J. Oper. Res., 2025)

Variance-based stochastic projection gradient method for two-stage co-coercive stochastic variational inequalities. - Bin Zhou; Jie Jiang 003; Yongzhong Song; Hailin Sun (Numer. Algorithms, 2025)

Discretization and quantification for distributionally robust optimization with decision-dependent ambiguity sets. - Manlan Li; Xiaojiao Tong; Hailin Sun (Optim. Methods Softw., 2025)