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 | 12* | 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 | 10 | 2023 |
Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds K Deng, J Hu arXiv preprint arXiv:2304.08241, 2023 | 6 | 2023 |
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 |
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 | 5* | 2023 |
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 | 4 | 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 | 4 | 2020 |
Decentralized Riemannian natural gradient methods with Kronecker-product approximations J Hu, K Deng, N Li, Q Li arXiv preprint arXiv:2303.09611, 2023 | 3 | 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 | 3 | 2020 |
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 |
An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization Z Deng, K Deng, J Hu, Z Wen arXiv preprint arXiv:2312.01273, 2023 | 2 | 2023 |
Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds K Deng, J Hu, H Wang arXiv preprint arXiv:2311.16399, 2023 | 1 | 2023 |
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 | 1 | 2023 |
Achieving Consensus over Compact Submanifolds J Hu, J Zhang, K Deng arXiv preprint arXiv:2306.04769, 2023 | 1 | 2023 |
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, 1-27, 2022 | 1 | 2022 |
A cut-and-project perspective for linearized Bregman iterations YH Dai, K Deng, H Zhang arXiv preprint arXiv:2404.09776, 2024 | | 2024 |
Oracle complexity of augmented Lagrangian methods for nonsmooth manifold optimization K Deng, J Hu, Z Wen arXiv preprint arXiv:2404.05121, 2024 | | 2024 |
Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations J Jin, H Wang, K Deng arXiv preprint arXiv:2403.14924, 2024 | | 2024 |
Two novel vector transports for generalized Stiefel manifold with non-standard metrics and its application to Riemannian conjugate gradient method X Wang, K Deng, Z Peng, C Yan arXiv preprint arXiv:2311.00907, 2023 | | 2023 |
求解可分解强凸优化问题的 FISTA-Barzilai-Borwein 算法 李星, 邓康康, 李超 武夷学院学报 38 (3), 12-16, 2019 | | 2019 |