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Jin Zhang
Jin Zhang
Southern University of Science and Technology
Verified email at sustech.edu.cn - Homepage
Title
Cited by
Cited by
Year
Investigating bi-level optimization for learning and vision from a unified perspective: A survey and beyond
R Liu, J Gao, J Zhang, D Meng, Z Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
2042021
A generic first-order algorithmic framework for bi-level programming beyond lower-level singleton
R Liu, P Mu, X Yuan, S Zeng, J Zhang
International Conference on Machine Learning 2020, 6305-6315, 2020
1202020
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
R Liu, Y Liu, S Zeng, J Zhang
Conference on Neural Information Processing Systems 2021, 2021
682021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
R Liu, X Liu, X Yuan, S Zeng, J Zhang
International Conference on Machine Learning 2021, 2021
632021
Sensitivity analysis of the value function for parametric mathematical programs with equilibrium constraints
L Guo, GH Lin, JJ Ye, J Zhang
SIAM Journal on Optimization 24 (3), 1206-1237, 2014
452014
Enhanced Karush–Kuhn–Tucker condition and weaker constraint qualifications
JJ Ye, J Zhang
Mathematical Programming 139 (1), 353-381, 2013
452013
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
R Liu, Y Liu, W Yao, S Zeng, J Zhang
International Conference on Machine Learning 2023, 2023
432023
Enhanced Karush–Kuhn–Tucker conditions for mathematical programs with equilibrium constraints
JJ Ye, J Zhang
Journal of Optimization Theory and Applications 163, 777-794, 2014
432014
A generic descent aggregation framework for gradient-based bi-level optimization
R Liu, P Mu, X Yuan, S Zeng, J Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
422022
Mathematical programs with geometric constraints in Banach spaces: enhanced optimality, exact penalty, and sensitivity
L Guo, JJ Ye, J Zhang
SIAM Journal on Optimization 23 (4), 2295-2319, 2013
392013
Distributionally robust equilibrium for continuous games: Nash and Stackelberg models
Y Liu, H Xu, SJS Yang, J Zhang
European Journal of Operational Research 265 (2), 631-643, 2018
362018
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis.
X Yuan, S Zeng, J Zhang
Journal of Machine Learning Research 21, 83:1-83:75, 2020
352020
Variational analysis perspective on linear convergence of some first order methods for nonsmooth convex optimization problems
JY Jane, X Yuan, S Zeng, J Zhang
Set-Valued and Variational Analysis, 2021
322021
Difference of convex algorithms for bilevel programs with applications in hyperparameter selection
JJ Ye, X Yuan, S Zeng, J Zhang
Mathematical Programming, 2022
312022
A globally convergent proximal Newton-type method in nonsmooth convex optimization
BS Mordukhovich, X Yuan, S Zeng, J Zhang
Mathematical Programming, 2022
302022
Directional quasi-/pseudo-normality as sufficient conditions for metric subregularity
K Bai, JJ Ye, J Zhang
SIAM Journal on Optimization 29 (4), 2625-2649, 2019
302019
Modeling the bids of wind power producers in the day-ahead market with stochastic market clearing
M Lei, J Zhang, X Dong, JY Jane
Sustainable Energy Technologies and Assessments 16, 151-161, 2016
282016
Partial error bound conditions and the linear convergence rate of the alternating direction method of multipliers
Y Liu, X Yuan, S Zeng, J Zhang
SIAM Journal on Numerical Analysis 56 (4), 2095-2123, 2018
252018
Perturbation techniques for convergence analysis of proximal gradient method and other first-order algorithms via variational analysis
X Wang, JJ Ye, X Yuan, S Zeng, J Zhang
Set-Valued and Variational Analysis, 1-41, 2021
232021
Value-function-based sequential minimization for bi-level optimization
R Liu, X Liu, S Zeng, J Zhang, Y Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
222023
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