Shangzhi Zeng

35 papers A* 9Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems.
CoRR
Yongcun Song, Shangzhi Zeng, Jin Zhang, Lvgang Zhang
2026 J jnl
Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-Based Reformulation.
SIAM J. Optim.
Xiaoning Bai, Shangzhi Zeng, Jin Zhang, Lezhi Zhang
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
2025 A* conf
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions.
ICLR
Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang
2024 A* conf
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm.
ICLR
Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
2024 J jnl
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm.
CoRR
Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
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
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 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
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
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
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 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
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 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
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
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
2017 J jnl
Primal-dual hybrid gradient method for distributionally robust optimization problems.
Oper. Res. Lett.
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang