| A manifold inexact augmented Lagrangian method for nonsmooth optimization on Riemannian submanifolds in Euclidean space K Deng, Z Peng IMA Journal of Numerical Analysis 43 (3), 1653-1684, 2023 | 20 | 2023 |
| Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds K Deng, J Hu arXiv preprint arXiv:2304.08241, 2023 | 17 | 2023 |
| A decomposition augmented lagrangian method for low-rank semidefinite programming Y Wang, K Deng, H Liu, Z Wen SIAM Journal on Optimization 33 (3), 1361-1390, 2023 | 13 | 2023 |
| Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space Z Peng, W Wu, J Hu, K Deng Applied Mathematics & Optimization 88 (3), 85, 2023 | 9* | 2023 |
| Two New Customized Proximal Point Algorithms Without Relaxation for Linearly Constrained Convex Optimization B Jiang, Z Peng, K Deng Bulletin of the Iranian Mathematical Society 46 (3), 865-892, 2020 | 6 | 2020 |
| Sparse probabilistic Boolean network problems: A partial proximal-type operator splitting method. K Deng, Z Peng, J Chen Journal of Industrial & Management Optimization 15 (4), 2019 | 6 | 2019 |
| An entropy-regularized admm for binary quadratic programming H Liu, K Deng, H Liu, Z Wen Journal of Global Optimization 87 (2), 447-479, 2023 | 5 | 2023 |
| Decentralized Riemannian natural gradient methods with Kronecker-product approximations J Hu, K Deng, N Li, Q Li arXiv preprint arXiv:2303.09611, 2023 | 5 | 2023 |
| A Discriminative Projection and Representation-Based Classification Framework for Face Recognition K Deng, Z Peng, W Zhu SIAM Journal on Imaging Sciences 13 (3), 1446-1466, 2020 | 5 | 2020 |
| Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds K Deng, J Hu, H Wang Journal of Computational Mathematics, 2024 | 3 | 2024 |
| Trace lasso regularization for adaptive sparse canonical correlation analysis via manifold optimization approach KK Deng, Z Peng Journal of the Operations Research Society of China 12 (3), 573-599, 2024 | 3* | 2024 |
| Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization K Deng, J Hu, J Wu, Z Wen arXiv preprint arXiv:2404.05121, 2024 | 3 | 2024 |
| An augmented lagrangian primal-dual semismooth newton method for multi-block composite optimization Z Deng, K Deng, J Hu, Z Wen Journal of Scientific Computing 102 (3), 65, 2025 | 2 | 2025 |
| A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity J Hu, K Deng, J Wu, Q Li Journal of Machine Learning Research 25 (56), 1-32, 2024 | 2 | 2024 |
| High-performance Placement Engine for Modern Large-scale FPGAs With Heterogeneity and Clock Constraints Z Zhu, Y Mei, K Deng, H He, J Chen, J Yang, YW Chang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 2 | 2023 |
| Achieving Consensus over Compact Submanifolds J Hu, J Zhang, K Deng arXiv preprint arXiv:2306.04769, 2023 | 2 | 2023 |
| New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications X Wang, K Deng, Z Peng, C Yan Journal of Computational and Applied Mathematics 451, 116024, 2024 | 1 | 2024 |
| Improving the communication in decentralized manifold optimization through single-step consensus and compression J Hu, K Deng arXiv preprint arXiv:2407.08904, 2024 | 1 | 2024 |
| A Novel Riemannian Conjugate Gradient Method with Iteration Complexity Guarantees J Zhou, K Deng, H Wang, Z Peng Authorea Preprints, 2024 | | 2024 |
| Decentralized projected Riemannian stochastic recursive momentum method for smooth optimization on compact submanifolds K Deng, J Hu arXiv preprint arXiv:2412.02382, 2024 | | 2024 |
Jiang HuPostdoc at University of California, BerkeleyAdresse e-mail validée de pku.edu.cn
