Kangkang Deng

According to our database, Kangkang Deng authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Achieving Local Consensus Over Compact Submanifolds.

Jiang Hu, Jiaojiao Zhang, Kangkang Deng

IEEE Trans. Autom. Control., September, 2025

LDPP-MIG Detectors in Sample-Starved Nonhomogeneous Clutter.

Xiaoqiang Hua, Chuanfu Xu, Zhenghua Wang, Weijian Liu, Kangkang Deng, Alfonso Farina, Danilo Orlando

IEEE Trans. Aerosp. Electron. Syst., August, 2025

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization with Strong Convergence.

Juan Zhou, Kangkang Deng, Hongxia Wang, Zheng Peng

J. Sci. Comput., June, 2025

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm.

Kangkang Deng, Shuchang Zhang, Boyu Wang, Jiachen Jin, Juan Zhou, Hongxia Wang

CoRR, April, 2025

An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization.

Zhanwang Deng, Kangkang Deng, Jiang Hu, Zaiwen Wen

J. Sci. Comput., March, 2025

Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization.

Kangkang Deng, Jiang Hu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

High-Performance Placement Engine for Modern Large-Scale FPGAs With Heterogeneity and Clock Constraints.

Ziran Zhu, Yangjie Mei, Kangkang Deng, Huan He, Jianli Chen, Jun Yang, Yao-Wen Chang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity.

Jiang Hu, Kangkang Deng, Jiayuan Wu, Quanzheng Li

J. Mach. Learn. Res., 2024

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications.

Xuejie Wang, Kangkang Deng, Zheng Peng, Chengcheng Yan

J. Comput. Appl. Math., 2024

2023

An Entropy-Regularized ADMM For Binary Quadratic Programming.

Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen

J. Glob. Optim., November, 2023

A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming.

Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen

SIAM J. Optim., September, 2023

Two novel vector transports for generalized Stiefel manifold with non-standard metrics and its application to Riemannian conjugate gradient method.

Xuejie Wang, Kangkang Deng, Zheng Peng, Chengcheng Yan

CoRR, 2023

Achieving Consensus over Compact Submanifolds.

Jiang Hu, Jiaojiao Zhang, Kangkang Deng

CoRR, 2023

Decentralized Riemannian natural gradient methods with Kronecker-product approximations.

Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li

CoRR, 2023

2020

A Discriminative Projection and Representation-Based Classification Framework for Face Recognition.

Kangkang Deng, Zheng Peng, Wenxing Zhu

SIAM J. Imaging Sci., 2020