Stochastic mathematical programs with hybrid equilibrium constraints. - Yongchao Liu; Jin Zhang 002; Gui-Hua Lin (J. Comput. Appl. Math., 2011)

Enhanced Karush-Kuhn-Tucker condition and weaker constraint qualifications. - Jane J. Ye; Jin Zhang 002 (Math. Program., 2013)

Mathematical Programs with Geometric Constraints in Banach Spaces: Enhanced Optimality, Exact Penalty, and Sensitivity. - Lei Guo 016; Jane J. Ye; Jin Zhang 002 (SIAM J. Optim., 2013)

New Results on Constraint Qualifications for Nonlinear Extremum Problems and Extensions. - Lei Guo 016; Jin Zhang 002; Gui-Hua Lin (J. Optim. Theory Appl., 2014)

Enhanced Karush-Kuhn-Tucker Conditions for Mathematical Programs with Equilibrium Constraints. - Jane J. Ye; Jin Zhang 002 (J. Optim. Theory Appl., 2014)

Sensitivity Analysis of the Value Function for Parametric Mathematical Programs with Equilibrium Constraints. - Lei Guo 016; Gui-Hua Lin; Jane J. Ye; Jin Zhang 002 (SIAM J. Optim., 2014)

Smoothing and SAA method for stochastic programming problems with non-smooth objective and constraints. - Gui-Hua Lin; Mei-Ju Luo; Jin Zhang 002 (J. Glob. Optim., 2016)

Expected Residual Minimization Formulation for a Class of Stochastic Vector Variational Inequalities. - Yong Zhao; Jin Zhang 002; Xinmin Yang; Gui-Hua Lin (J. Optim. Theory Appl., 2017)

Stochastic second-order-cone complementarity problems: expected residual minimization formulation and its applications. - Gui-Hua Lin; Mei-Ju Luo; Dali Zhang; Jin Zhang 002 (Math. Program., 2017)

Primal-dual hybrid gradient method for distributionally robust optimization problems. - Yongchao Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (Oper. Res. Lett., 2017)

Distributionally robust equilibrium for continuous games: Nash and Stackelberg models. - Yongchao Liu; Huifu Xu; Shu-Jung Sunny Yang; Jin Zhang 002 (Eur. J. Oper. Res., 2018)

Expected residual minimization formulation for a class of stochastic linear second-order cone complementarity problems. - Guoxin Wang; Jin Zhang 002; Bo Zeng 001; Gui-Hua Lin (Eur. J. Oper. Res., 2018)

Smoothing partial exact penalty splitting method for mathematical programs with equilibrium constraints. - Suhong Jiang; Jin Zhang 002; Caihua Chen; Gui-Hua Lin (J. Glob. Optim., 2018)

Constraint Qualifications and Proper Pareto Optimality Conditions for Multiobjective Problems with Equilibrium Constraints. - Peng Zhang 031; Jin Zhang 002; Gui-Hua Lin; Xinmin Yang (J. Optim. Theory Appl., 2018)

Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. - Yongchao Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (SIAM J. Numer. Anal., 2018)

New Constraint Qualifications for S-Stationarity for MPEC with Nonsmooth Objective. - Peng Zhang 031; Jin Zhang 002; Gui-Hua Lin; Xinmin Yang (Asia Pac. J. Oper. Res., 2019)

Bilevel Integrative Optimization for Ill-posed Inverse Problems. - Risheng Liu; Long Ma 002; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2019)

On the Convergence of ADMM with Task Adaption and Beyond. - Risheng Liu; Pan Mu; Jin Zhang 002 (CoRR, 2019)

Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications. - Zhen-Ping Yang; Jin Zhang 002; Xide Zhu; Gui-Hua Lin (J. Comput. Appl. Math., 2019)

Mathematical Programs with Second-Order Cone Complementarity Constraints: Strong Stationarity and Approximation Method. - Xide Zhu; Jin Zhang 002; Jinchuan Zhou; Xinmin Yang (J. Optim. Theory Appl., 2019)

Directional Quasi-/Pseudo-Normality as Sufficient Conditions for Metric Subregularity. - Kuang Bai; Jane J. Ye; Jin Zhang 002 (SIAM J. Optim., 2019)

Exact Formula for the Second-Order Tangent Set of the Second-Order Cone Complementarity Set. - Jein-Shan Chen; Jane J. Ye; Jin Zhang 002; Jinchuan Zhou (SIAM J. Optim., 2019)

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2020)

Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. - Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (J. Mach. Learn. Res., 2020)

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. - Risheng Liu; Xuan Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2021)

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. - Risheng Liu; Yaohua Liu; Shangzhi Zeng; Jin Zhang 002 (NeurIPS, 2021)

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2021)

Personality information sharing in supply chain systems for innovative products in the circular economy era. - Chang Fang; Xiuyan Ma; Jin Zhang 002; Xide Zhu (Int. J. Prod. Res., 2021)

Variance-Based Subgradient Extragradient Method for Stochastic Variational Inequality Problems. - Zhen-Ping Yang; Jin Zhang 002; Yuliang Wang; Gui-Hua Lin (J. Sci. Comput., 2021)

Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. - Risheng Liu; Pan Mu; Jin Zhang 002 (IEEE Trans. Image Process., 2021)

Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. - Lucy L. Gao; Jane J. Ye; Haian Yin; Shangzhi Zeng; Jin Zhang 002 (ICML, 2022)

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. - Risheng Liu; Xuan Liu; Shangzhi Zeng; Jin Zhang 002; Yixuan Zhang 002 (ICML, 2022)

Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. - Risheng Liu; Xuan Liu; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2022)

Linear Convergence of Prox-SVRG Method for Separable Non-smooth Convex Optimization Problems under Bounded Metric Subregularity. - Jin Zhang 002; Xide Zhu (J. Optim. Theory Appl., 2022)

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. - Risheng Liu; Jiaxin Gao; Jin Zhang 002; Deyu Meng; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generic Property of the Partial Calmness Condition for Bilevel Programming Problems. - Rongzhu Ke; Wei Yao 014; Jane J. Ye; Jin Zhang 002 (SIAM J. Optim., 2022)

Task-Oriented Convex Bilevel Optimization With Latent Feasibility. - Risheng Liu; Long Ma 002; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Image Process., 2022)

Stochastic Approximation Methods for the Two-Stage Stochastic Linear Complementarity Problem. - Lin Chen 039; Yongchao Liu; Xinmin Yang; Jin Zhang 002 (SIAM J. Optim., 2022)

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. - Risheng Liu; Yaohua Liu; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (ICML, 2023)

Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs. - Lucy L. Gao; Jane J. Ye; Haian Yin; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2023)

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MSTA-SlowFast: A Student Behavior Detector for Classroom Environments. - Shiwen Zhang 004; Hong Liu; Cheng Sun; Xingjin Wu; Pei Wen; Fei Yu 009; Jin Zhang 002 (Sensors, 2023)

A globally convergent proximal Newton-type method in nonsmooth convex optimization. - Boris S. Mordukhovich; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (Math. Program., 2023)

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. - Jane J. Ye; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (Math. Program., 2023)

Second-Order Enhanced Optimality Conditions and Constraint Qualifications. - Kuang Bai; Yixia Song; Jin Zhang 002 (J. Optim. Theory Appl., 2023)

Density-Based Distance Preserving Graph: Theoretical and Practical Analyses. - Li Wang 033; Haian Yin; Jin Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems. - Gui-Hua Lin; Zhen-Ping Yang; Haian Yin; Jin Zhang 002 (Comput. Optim. Appl., 2023)

Hierarchical Optimization-Derived Learning. - Risheng Liu; Xuan Liu; Shangzhi Zeng; Jin Zhang 002; Yixuan Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Value-Function-Based Sequential Minimization for Bi-Level Optimization. - Risheng Liu; Xuan Liu; Shangzhi Zeng; Jin Zhang 002; Yixuan Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Second-Order Optimality Conditions for General Nonconvex Optimization Problems and Variational Analysis of Disjunctive Systems. - Matús Benko; Helmut Gfrerer; Jane J. Ye; Jin Zhang 002; Jinchuan Zhou (SIAM J. Optim., 2023)

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy. - Risheng Liu; Zhu Liu 004; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (ICML, 2024)

Sensitivity Analysis of the Maximal Value Function with Applications in Nonconvex Minimax Programs. - Lei Guo 016; Jane J. Ye; Jin Zhang 002 (Math. Oper. Res., 2024)

Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation. - Xinxin Kong; Fei Yu 009; Wei Yao 014; Shuo Cai; Jin Zhang 002; Hairong Lin (Neural Networks, 2024)