A Discriminative Projection and Representation-Based Classification Framework for Face Recognition. - Kangkang Deng; Zheng Peng 002; Wenxing Zhu (SIAM J. Imaging Sci., 2020)

Decentralized Riemannian natural gradient methods with Kronecker-product approximations. - Jiang Hu; Kangkang Deng; Na Li 002; Quanzheng Li (CoRR, 2023)

Achieving Consensus over Compact Submanifolds. - Jiang Hu; Jiaojiao Zhang; Kangkang Deng (CoRR, 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 002; Chengcheng Yan (CoRR, 2023)

A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. - Yifei Wang 005; Kangkang Deng; Haoyang Liu; Zaiwen Wen (SIAM J. Optim., 2023)

An Entropy-Regularized ADMM For Binary Quadratic Programming. - Haoming Liu; Kangkang Deng; Haoyang Liu; Zaiwen Wen (J. Glob. Optim., 2023)

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications. - Xuejie Wang; Kangkang Deng; Zheng Peng 002; Chengcheng Yan (J. Comput. Appl. Math., 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)

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 006; Yao-Wen Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization. - Kangkang Deng; Jiang Hu (AAAI, 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., 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, 2025)

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization with Strong Convergence. - Juan Zhou; Kangkang Deng; Hongxia Wang; Zheng Peng 004 (J. Sci. Comput., 2025)

LDPP-MIG Detectors in Sample-Starved Nonhomogeneous Clutter. - Xiaoqiang Hua; Chuanfu Xu; Zhenghua Wang; Weijian Liu 001; Kangkang Deng; Alfonso Farina; Danilo Orlando (IEEE Trans. Aerosp. Electron. Syst., 2025)

Achieving Local Consensus Over Compact Submanifolds. - Jiang Hu; Jiaojiao Zhang; Kangkang Deng (IEEE Trans. Autom. Control., 2025)