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2020 – today
- 2024
[j6]Xuejie Wang, Kangkang Deng
, Zheng Peng, Chengcheng Yan:
New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications. J. Comput. Appl. Math. 451: 116024 (2024)- [j5]Jiang Hu, Kangkang Deng, Jiayuan Wu, Quanzheng Li:
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity. J. Mach. Learn. Res. 25: 56:1-56:32 (2024) - [j4]Ziran Zhu, Yangjie Mei, Kangkang Deng, Huan He, Jianli Chen, Jun Yang, Yao-Wen Chang:
High-Performance Placement Engine for Modern Large-Scale FPGAs With Heterogeneity and Clock Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 956-969 (2024) - 2023
- [j3]Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen:
An Entropy-Regularized ADMM For Binary Quadratic Programming. J. Glob. Optim. 87(2): 447-479 (2023) - [j2]Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen:
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. SIAM J. Optim. 33(3): 1361-1390 (2023) - [i3]Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li:
Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR abs/2303.09611 (2023) - [i2]Jiang Hu, Jiaojiao Zhang, Kangkang Deng:
Achieving Consensus over Compact Submanifolds. CoRR abs/2306.04769 (2023) - [i1]Xuejie Wang, Kangkang Deng, Zheng Peng, Chengcheng Yan:
Two novel vector transports for generalized Stiefel manifold with non-standard metrics and its application to Riemannian conjugate gradient method. CoRR abs/2311.00907 (2023) - 2020
- [j1]Kangkang Deng, Zheng Peng, Wenxing Zhu:
A Discriminative Projection and Representation-Based Classification Framework for Face Recognition. SIAM J. Imaging Sci. 13(3): 1446-1466 (2020)
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