Jin Zhang - RankMe

64 papers A* 7Journal 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
2024	J	`jnl`	Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation. Neural Networks Xinxin Kong, Fei Yu, Wei Yao, Shuo Cai, Jin Zhang, Hairong Lin
2024	A*	`conf`	Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy. ICML Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2024	J	`jnl`	Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy. CoRR Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2024	J	`jnl`	Sensitivity Analysis of the Maximal Value Function with Applications in Nonconvex Minimax Programs. Math. Oper. Res. Lei Guo, Jane J. Ye, Jin Zhang
2023	J	`jnl`	A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems. Comput. Optim. Appl. Gui-Hua Lin, Zhen-Ping Yang, Haian Yin, Jin Zhang
2023	J	`jnl`	A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2023	A*	`conf`	Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. ICML Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	Density-Based Distance Preserving Graph: Theoretical and Practical Analyses. IEEE Trans. Neural Networks Learn. Syst. Li Wang, Haian Yin, Jin Zhang
2023	J	`jnl`	Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. Math. Program. Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	Hierarchical Optimization-Derived Learning. CoRR Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
2023	J	`jnl`	Hierarchical Optimization-Derived Learning. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
2023	J	`jnl`	MSTA-SlowFast: A Student Behavior Detector for Classroom Environments. Sensors Shiwen Zhang, Hong Liu, Cheng Sun, Xingjin Wu, Pei Wen, Fei Yu, Jin Zhang
2023	J	`jnl`	Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs. CoRR Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
2023	J	`jnl`	Second-Order Enhanced Optimality Conditions and Constraint Qualifications. J. Optim. Theory Appl. Kuang Bai, Yixia Song, Jin Zhang
2023	J	`jnl`	Second-Order Optimality Conditions for General Nonconvex Optimization Problems and Variational Analysis of Disjunctive Systems. SIAM J. Optim. Matús Benko, Helmut Gfrerer, Jane J. Ye, Jin Zhang, Jinchuan Zhou
2023	J	`jnl`	Value-Function-Based Sequential Minimization for Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
2022	J	`jnl`	Generic Property of the Partial Calmness Condition for Bilevel Programming Problems. SIAM J. Optim. Rongzhu Ke, Wei Yao, Jane J. Ye, Jin Zhang
2022	J	`jnl`	Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin
2022	J	`jnl`	Linear Convergence of Prox-SVRG Method for Separable Non-smooth Convex Optimization Problems under Bounded Metric Subregularity. J. Optim. Theory Appl. Jin Zhang, Xide Zhu
2022	A*	`conf`	Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. ICML Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
2022	J	`jnl`	Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. CoRR Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
2022	J	`jnl`	Stochastic Approximation Methods for the Two-Stage Stochastic Linear Complementarity Problem. SIAM J. Optim. Lin Chen, Yongchao Liu, Xinmin Yang, Jin Zhang
2022	J	`jnl`	Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2022	J	`jnl`	Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. CoRR Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
2022	J	`jnl`	Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. CoRR Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
2022	A*	`conf`	Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. ICML Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	A*	`conf`	A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. ICML Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond. CoRR Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin
2021	J	`jnl`	Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. IEEE Trans. Image Process. Risheng Liu, Pan Mu, Jin Zhang
2021	J	`jnl`	Personality information sharing in supply chain systems for innovative products in the circular economy era. Int. J. Prod. Res. Chang Fang, Xiuyan Ma, Jin Zhang, Xide Zhu
2021	A*	`conf`	Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. CoRR Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
2021	J	`jnl`	Value-Function-based Sequential Minimization for Bi-level Optimization. CoRR Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
2021	J	`jnl`	Variance-Based Subgradient Extragradient Method for Stochastic Variational Inequality Problems. J. Sci. Comput. Zhen-Ping Yang, Jin Zhang, Yuliang Wang, Gui-Hua Lin
2020	A*	`conf`	A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2020	J	`jnl`	A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2020	J	`jnl`	Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. J. Mach. Learn. Res. Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2019	J	`jnl`	Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2019	J	`jnl`	Directional Quasi-/Pseudo-Normality as Sufficient Conditions for Metric Subregularity. SIAM J. Optim. Kuang Bai, Jane J. Ye, Jin Zhang
2019	J	`jnl`	Exact Formula for the Second-Order Tangent Set of the Second-Order Cone Complementarity Set. SIAM J. Optim. Jein-Shan Chen, Jane J. Ye, Jin Zhang, Jinchuan Zhou
2019	J	`jnl`	Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications. J. Comput. Appl. Math. Zhen-Ping Yang, Jin Zhang, Xide Zhu, Gui-Hua Lin
2019	J	`jnl`	Mathematical Programs with Second-Order Cone Complementarity Constraints: Strong Stationarity and Approximation Method. J. Optim. Theory Appl. Xide Zhu, Jin Zhang, Jinchuan Zhou, Xinmin Yang
2019	J	`jnl`	New Constraint Qualifications for S-Stationarity for MPEC with Nonsmooth Objective. Asia Pac. J. Oper. Res. Peng Zhang, Jin Zhang, Gui-Hua Lin, Xinmin Yang
2019	J	`jnl`	On the Convergence of ADMM with Task Adaption and Beyond. CoRR Risheng Liu, Pan Mu, Jin Zhang
2018	J	`jnl`	Constraint Qualifications and Proper Pareto Optimality Conditions for Multiobjective Problems with Equilibrium Constraints. J. Optim. Theory Appl. Peng Zhang, Jin Zhang, Gui-Hua Lin, Xinmin Yang
2018	J	`jnl`	Distributionally robust equilibrium for continuous games: Nash and Stackelberg models. Eur. J. Oper. Res. Yongchao Liu, Huifu Xu, Shu-Jung Sunny Yang, Jin Zhang
2018	J	`jnl`	Expected residual minimization formulation for a class of stochastic linear second-order cone complementarity problems. Eur. J. Oper. Res. Guoxin Wang, Jin Zhang, Bo Zeng, Gui-Hua Lin
2018	J	`jnl`	Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2018	J	`jnl`	Smoothing partial exact penalty splitting method for mathematical programs with equilibrium constraints. J. Glob. Optim. Suhong Jiang, Jin Zhang, Caihua Chen, Gui-Hua Lin
2017	J	`jnl`	Expected Residual Minimization Formulation for a Class of Stochastic Vector Variational Inequalities. J. Optim. Theory Appl. Yong Zhao, Jin Zhang, Xinmin Yang, Gui-Hua Lin
2017	J	`jnl`	Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
2017	J	`jnl`	Stochastic second-order-cone complementarity problems: expected residual minimization formulation and its applications. Math. Program. Gui-Hua Lin, Mei-Ju Luo, Dali Zhang, Jin Zhang
2016	J	`jnl`	Smoothing and SAA method for stochastic programming problems with non-smooth objective and constraints. J. Glob. Optim. Gui-Hua Lin, Mei-Ju Luo, Jin Zhang
2014	J	`jnl`	Enhanced Karush-Kuhn-Tucker Conditions for Mathematical Programs with Equilibrium Constraints. J. Optim. Theory Appl. Jane J. Ye, Jin Zhang
2014	J	`jnl`	New Results on Constraint Qualifications for Nonlinear Extremum Problems and Extensions. J. Optim. Theory Appl. Lei Guo, Jin Zhang, Gui-Hua Lin
2014	J	`jnl`	Sensitivity Analysis of the Value Function for Parametric Mathematical Programs with Equilibrium Constraints. SIAM J. Optim. Lei Guo, Gui-Hua Lin, Jane J. Ye, Jin Zhang
2013	J	`jnl`	Enhanced Karush-Kuhn-Tucker condition and weaker constraint qualifications. Math. Program. Jane J. Ye, Jin Zhang
2013	J	`jnl`	Mathematical Programs with Geometric Constraints in Banach Spaces: Enhanced Optimality, Exact Penalty, and Sensitivity. SIAM J. Optim. Lei Guo, Jane J. Ye, Jin Zhang
2011	J	`jnl`	Stochastic mathematical programs with hybrid equilibrium constraints. J. Comput. Appl. Math. Yongchao Liu, Jin Zhang, Gui-Hua Lin