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Kangkang Deng 邓康康
Title
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Cited by
Year
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
92023
Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds
K Deng, J Hu
arXiv preprint arXiv:2304.08241, 2023
62023
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
62019
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
42023
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
42020
Decentralized Riemannian natural gradient methods with Kronecker-product approximations
J Hu, K Deng, N Li, Q Li
arXiv preprint arXiv:2303.09611, 2023
32023
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
32020
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
22024
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
22023
Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds
K Deng, J Hu, H Wang
arXiv preprint arXiv:2311.16399, 2023
12023
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
12023
Achieving Consensus over Compact Submanifolds
J Hu, J Zhang, K Deng
arXiv preprint arXiv:2306.04769, 2023
12023
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
12022
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
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