Jin Zhang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Topics

Fpga Implementation

Variational Inequalities

Mathematical Program

Convex Optimization

Top Venues

J. Optim. Theory Appl.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xinxin Kong, Fei Yu, Wei Yao, Shuo Cai, Jin Zhang, Hairong Lin
Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation. Neural Networks 171 (2024)
Lei Guo, Jane J. Ye, Jin Zhang
Sensitivity Analysis of the Maximal Value Function with Applications in Nonconvex Minimax Programs. Math. Oper. Res. 49 (1) (2024)
Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy. CoRR (2024)
Li Wang, Haian Yin, Jin Zhang
Density-Based Distance Preserving Graph: Theoretical and Practical Analyses. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Hierarchical Optimization-Derived Learning. CoRR (2023)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Hierarchical Optimization-Derived Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Kuang Bai, Yixia Song, Jin Zhang
Second-Order Enhanced Optimality Conditions and Constraint Qualifications. J. Optim. Theory Appl. 198 (3) (2023)
Gui-Hua Lin, Zhen-Ping Yang, Haian Yin, Jin Zhang
A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems. Comput. Optim. Appl. 86 (2) (2023)
Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR (2023)
Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. 198 (1) (2023)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Value-Function-Based Sequential Minimization for Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. Math. Program. 198 (2) (2023)
Matus Benko, Helmut Gfrerer, Jane J. Ye, Jin Zhang, Jinchuan Zhou
Second-Order Optimality Conditions for General Nonconvex Optimization Problems and Variational Analysis of Disjunctive Systems. SIAM J. Optim. 33 (4) (2023)
Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. CoRR (2022)
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31 (2022)
Lucy Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. CoRR (2022)
Rongzhu Ke, Wei Yao, Jane J. Ye, Jin Zhang
Generic Property of the Partial Calmness Condition for Bilevel Programming Problems. SIAM J. Optim. 32 (2) (2022)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. CoRR (2022)
Risheng Liu, Pan Mu, Jin Zhang
Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. IEEE Trans. Image Process. 30 (2021)
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR (2021)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR (2021)
Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS (2021)
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. ICML (2021)
Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond. CoRR (2021)
Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. J. Mach. Learn. Res. 21 (2020)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR (2020)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML (2020)
Xide Zhu, Jin Zhang, Jinchuan Zhou, Xinmin Yang
Mathematical Programs with Second-Order Cone Complementarity Constraints: Strong Stationarity and Approximation Method. J. Optim. Theory Appl. 181 (2) (2019)
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR (2019)
Zhen-Ping Yang, Jin Zhang, Xide Zhu, Gui-Hua Lin
Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications. J. Comput. Appl. Math. 352 (2019)
Risheng Liu, Pan Mu, Jin Zhang
On the Convergence of ADMM with Task Adaption and Beyond. CoRR (2019)
Jein-Shan Chen, Jane J. Ye, Jin Zhang, Jinchuan Zhou
Exact Formula for the Second-Order Tangent Set of the Second-Order Cone Complementarity Set. SIAM J. Optim. 29 (4) (2019)
Peng Zhang, Jin Zhang, Gui-Hua Lin, Xinmin Yang
New Constraint Qualifications for S-Stationarity for MPEC with Nonsmooth Objective. Asia Pac. J. Oper. Res. 36 (2) (2019)
Kuang Bai, Jane J. Ye, Jin Zhang
Directional Quasi-/Pseudo-Normality as Sufficient Conditions for Metric Subregularity. SIAM J. Optim. 29 (4) (2019)
Guoxin Wang, Jin Zhang, Bo Zeng, Gui-Hua Lin
Expected residual minimization formulation for a class of stochastic linear second-order cone complementarity problems. Eur. J. Oper. Res. 265 (2) (2018)
Suhong Jiang, Jin Zhang, Caihua Chen, Gui-Hua Lin
Smoothing partial exact penalty splitting method for mathematical programs with equilibrium constraints. J. Glob. Optim. 70 (1) (2018)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. 56 (4) (2018)
Peng Zhang, Jin Zhang, Gui-Hua Lin, Xinmin Yang
Constraint Qualifications and Proper Pareto Optimality Conditions for Multiobjective Problems with Equilibrium Constraints. J. Optim. Theory Appl. 176 (3) (2018)
Yongchao Liu, Huifu Xu, Shu-Jung Sunny Yang, Jin Zhang
Distributionally robust equilibrium for continuous games: Nash and Stackelberg models. Eur. J. Oper. Res. 265 (2) (2018)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45 (6) (2017)
Yong Zhao, Jin Zhang, Xinmin Yang, Gui-Hua Lin
Expected Residual Minimization Formulation for a Class of Stochastic Vector Variational Inequalities. J. Optim. Theory Appl. 175 (2) (2017)
Gui-Hua Lin, Mei-Ju Luo, Dali Zhang, Jin Zhang
Stochastic second-order-cone complementarity problems: expected residual minimization formulation and its applications. Math. Program. 165 (1) (2017)
Gui-Hua Lin, Mei-Ju Luo, Jin Zhang
Smoothing and SAA method for stochastic programming problems with non-smooth objective and constraints. J. Glob. Optim. 66 (3) (2016)
Lei Guo, Jin Zhang, Gui-Hua Lin
New Results on Constraint Qualifications for Nonlinear Extremum Problems and Extensions. J. Optim. Theory Appl. 163 (3) (2014)
Jane J. Ye, Jin Zhang
Enhanced Karush-Kuhn-Tucker Conditions for Mathematical Programs with Equilibrium Constraints. J. Optim. Theory Appl. 163 (3) (2014)
Lei Guo, Gui-Hua Lin, Jane J. Ye, Jin Zhang
Sensitivity Analysis of the Value Function for Parametric Mathematical Programs with Equilibrium Constraints. SIAM J. Optim. 24 (3) (2014)
Lei Guo, Jane J. Ye, Jin Zhang
Mathematical Programs with Geometric Constraints in Banach Spaces: Enhanced Optimality, Exact Penalty, and Sensitivity. SIAM J. Optim. 23 (4) (2013)
Jane J. Ye, Jin Zhang
Enhanced Karush-Kuhn-Tucker condition and weaker constraint qualifications. Math. Program. 139 (1-2) (2013)
Yongchao Liu, Jin Zhang, Gui-Hua Lin
Stochastic mathematical programs with hybrid equilibrium constraints. J. Comput. Appl. Math. 235 (13) (2011)