| 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, 6305-6315, 2020 | 125 | 2020 |
| Towards gradient-based bilevel optimization with non-convex followers and beyond R Liu, Y Liu, S Zeng, J Zhang Advances in Neural Information Processing Systems 34, 8662-8675, 2021 | 71 | 2021 |
| 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, 6882-6892, 2021 | 68 | 2021 |
| 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, 21839-21866, 2023 | 44 | 2023 |
| A general 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 45 (1), 38-57, 2022 | 44 | 2022 |
| Difference of convex algorithms for bilevel programs with applications in hyperparameter selection JJ Ye, X Yuan, S Zeng, J Zhang Mathematical Programming 198 (2), 1583-1616, 2023 | 35 | 2023 |
| 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), 1-75, 2020 | 35 | 2020 |
| Variational analysis perspective on linear convergence of some first order methods for nonsmooth convex optimization problems JJ Ye, X Yuan, S Zeng, J Zhang Set-Valued and Variational Analysis, 1-35, 2021 | 32 | 2021 |
| A globally convergent proximal Newton-type method in nonsmooth convex optimization BS Mordukhovich, X Yuan, S Zeng, J Zhang Mathematical Programming 198 (1), 899-936, 2023 | 31 | 2023 |
| 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 | 26 | 2018 |
| 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 | 24 | 2023 |
| 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 | 23 | 2021 |
| Value function based difference-of-convex algorithm for bilevel hyperparameter selection problems LL Gao, J Ye, H Yin, S Zeng, J Zhang International Conference on Machine Learning, 7164-7182, 2022 | 22 | 2022 |
| Task-oriented convex bilevel optimization with latent feasibility R Liu, L Ma, X Yuan, S Zeng, J Zhang IEEE Transactions on Image Processing 31, 1190-1203, 2022 | 17* | 2022 |
| Primal–dual hybrid gradient method for distributionally robust optimization problems Y Liu, X Yuan, S Zeng, J Zhang Operations Research Letters 45 (6), 625-630, 2017 | 11 | 2017 |
| Constrained bi-level optimization: Proximal lagrangian value function approach and hessian-free algorithm W Yao, C Yu, S Zeng, J Zhang arXiv preprint arXiv:2401.16164, 2024 | 10 | 2024 |
| Moreau envelope based difference-of-weakly-convex reformulation and algorithm for bilevel programs LL Gao, JJ Ye, H Yin, S Zeng, J Zhang arXiv preprint arXiv:2306.16761, 2023 | 6 | 2023 |
| Optimization-derived learning with essential convergence analysis of training and hyper-training R Liu, X Liu, S Zeng, J Zhang, Y Zhang International Conference on Machine Learning, 13825-13856, 2022 | 6 | 2022 |
| Hierarchical optimization-derived learning R Liu, X Liu, S Zeng, J Zhang, Y Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
| Augmenting iterative trajectory for bilevel optimization: Methodology, analysis and extensions R Liu, Y Liu, S Zeng, J Zhang arXiv preprint arXiv:2303.16397, 2023 | 3 | 2023 |
Jin ZhangSouthern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
