Kangkang Deng

17 papers A* 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anderson Acceleration of Derivative-Free Projection Methods for Constrained Monotone Nonlinear Equations.
J. Optim. Theory Appl.
Jiachen Jin, Hongxia Wang, Kangkang Deng
2025 J jnl
Achieving Local Consensus Over Compact Submanifolds.
IEEE Trans. Autom. Control.
Jiang Hu, Jiaojiao Zhang, Kangkang Deng
2025 J jnl
An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization.
J. Sci. Comput.
Zhanwang Deng, Kangkang Deng, Jiang Hu, Zaiwen Wen
2025 A* conf
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization.
AAAI
Kangkang Deng, Jiang Hu
2025 J jnl
Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds embedded in the Euclidean space.
Numerische Mathematik
Kangkang Deng, Jiang Hu
2025 J jnl
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization with Strong Convergence.
J. Sci. Comput.
Juan Zhou, Kangkang Deng, Hongxia Wang, Zheng Peng
2025 J jnl
LDPP-MIG Detectors in Sample-Starved Nonhomogeneous Clutter.
IEEE Trans. Aerosp. Electron. Syst.
Xiaoqiang Hua, Chuanfu Xu, Zhenghua Wang, Weijian Liu, Kangkang Deng, Alfonso Farina, Danilo Orlando
2025 J jnl
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm.
CoRR
Kangkang Deng, Shuchang Zhang, Boyu Wang, Jiachen Jin, Juan Zhou, Hongxia Wang
2024 J jnl
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity.
J. Mach. Learn. Res.
Jiang Hu, Kangkang Deng, Jiayuan Wu, Quanzheng Li
2024 J jnl
High-Performance Placement Engine for Modern Large-Scale FPGAs With Heterogeneity and Clock Constraints.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ziran Zhu, Yangjie Mei, Kangkang Deng, Huan He, Jianli Chen, Jun Yang, Yao-Wen Chang
2024 J jnl
New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications.
J. Comput. Appl. Math.
Xuejie Wang, Kangkang Deng, Zheng Peng, Chengcheng Yan
2023 J jnl
A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming.
SIAM J. Optim.
Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen
2023 J jnl
Achieving Consensus over Compact Submanifolds.
CoRR
Jiang Hu, Jiaojiao Zhang, Kangkang Deng
2023 J jnl
An Entropy-Regularized ADMM For Binary Quadratic Programming.
J. Glob. Optim.
Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen
2023 J jnl
Decentralized Riemannian natural gradient methods with Kronecker-product approximations.
CoRR
Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li
2023 J jnl
Two novel vector transports for generalized Stiefel manifold with non-standard metrics and its application to Riemannian conjugate gradient method.
CoRR
Xuejie Wang, Kangkang Deng, Zheng Peng, Chengcheng Yan
2020 J jnl
A Discriminative Projection and Representation-Based Classification Framework for Face Recognition.
SIAM J. Imaging Sci.
Kangkang Deng, Zheng Peng, Wenxing Zhu
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