I am now working on manifold optimization and decentralized optimization. If you are seeking any form of academic cooperation, please feel free to email me at freedeng1208@gmail.com.

I graduated from Fujian Normal University with a bachelor’s degree and from Fuzhou University, the Research Center for Discrete Mathematics (离散数学研究中心) with a doctor’s degree, advised by Zheng Peng (彭拯). I then pursued postdoctoral research at Peking University, Beijing International Center for Mathematical Research (BICMR，北京国际数学研究中心), under the supervision of Zaiwen Wen (文再文).

📖 Research experience & Education

• 2023.04 - now, Assistant Researcher, College of Science, National University of Defense Technology, Changsha.
• 2020.09 - 2023.04, Postdoc, Beijing International Center for Mathematical Research, Peking University, Beijing.
• 2015.06 - 2020.06, Doctor, Research Center for Discrete Mathematics, Fuzhou University, Fuzhou.
• 2011.09 - 2015.06, Undergraduate, School of Mathematics and Computer Science, Fujian Normal University, Fuzhou.

🔥 News

• 2025.09:  🎉🎉 One paper is accepted by SIAM Review.
• 2025.09:  🎉🎉 Two papers are accepted by NeurIPS 2025.
• 2025.09:  🎉🎉 One paper is accepted by Journal of Optimization Theory and Applications.
• 2025.09:  🎉🎉 One paper is accepted by Numerische Mathematik.
• 2025.08:  🎉🎉 One paper is accepted by Mathematics of Operations Research.
• 2025.05:  🎉🎉 One paper is accepted by Journal of Scientific Computing.
• 2025.02:  🎉🎉 One paper is accepted by IEEE Transactions on Automatic Control.
• 2025.02:  🎉🎉 One paper is accepted by Journal of the Operations Research Society of China.

📝 Preprints

• Single-loop $\mathcal {O}(\epsilon^{-3}) $ stochastic smoothing algorithms for nonsmooth Riemannian optimization, Kangkang Deng, Zheng Peng, Weihe Wu, 2025.
• An efficient primal dual semismooth Newton method for semidefinite programming, Zhanwang Deng, Jiang Hu, Kangkang Deng, Zaiwen Wen, 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, 2025.
• Improving the communication in decentralized manifold optimization through single-step consensus and compression, Jiang Hu, Kangkang Deng, 2024.
• A cut-and-project perspective for linearized Bregman iterations, Yu-Hong Dai, Kangkang Deng, Hui Zhang, 2024.

📝 Publications

• Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations, Jiachen Jin, Hongxia Wang, Kangkang Deng, Journal of Optimization Theory and Applications, 2025.
• Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds embedded in the Euclidean space, Kangkang Deng, Jiang Hu, Numerische Mathematik, 2025.
• Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization, Kangkang Deng, Jiang Hu, Jiayuan Wu, Zaiwen Wen, Mathematics of Operations Research, 2025.
• Inexact Riemannian Gradient Descent Method for Nonconvex Optimization with Strong Convergence, Juan Zhou, Kangkang Deng*, Hongxia Wang, Zheng Peng, Journal of Scientific Computing, 2025.
• Decentralized Riemannian Natural Gradient Methods with Kronecker Product Approximations, Jiang Hu, Kangkang Deng*, Quanzheng Li, Journal of the Operations Research Society of China, 2025.
• Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization, Kangkang Deng, Jiang Hu, AAAI 2025, 2025.
• LDPP-MIG Detectors in Sample-Starved Nonhomogeneous Clutter, Xiaoqiang Hua, Chuanfu Xu, Zhenghua Wang, Weijian Liu, Kangkang Deng, Alfonso Farina, Danilo Orlando, IEEE Transactions on Aerospace and Electronic Systems, 2025.
• An augmented lagrangian primal-dual semismooth newton method for multi-block composite optimization, Zhanwang Deng, Kangkang Deng, Jiang Hu, Zaiwen Wen, Journal of Scientific Computing, 2025.
• Achieving local consensus over compact submanifolds, Jiang Hu, Jiaojiao Zhang, Kangkang Deng*, IEEE Transactions on Automatic Control, 2025.
• 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, Journal of Computational and Applied Mathematics, 2024.
• Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds, Kangkang Deng, Jiang Hu, Hongxia Wang, Journal of Computational Mathematics, 2024.
• Trace lasso regularization for adaptive sparse canonical correlation analysis via manifold optimization approach, Kangkang Deng, Zheng Peng, Journal of the Operations Research Society of China, 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, Journal of Machine Learning Research, 2024.
• Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space, Zheng Peng, Weihe Wu, Jiang Hu, Kangkang Deng*, Applied Mathematics & Optimization, 2023.
• 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023.
• An entropy-regularized admm for binary quadratic programming, Haoming Liu, Kangkang Deng, Haoyang Liu, Zaiwen Wen, Journal of Global Optimization, 2023.
• A decomposition augmented lagrangian method for low-rank semidefinite programming, Yifei Wang, Kangkang Deng, Haoyang Liu, Zaiwen Wen, SIAM Journal on Optimization, 2023.
• A manifold inexact augmented Lagrangian method for nonsmooth optimization on Riemannian submanifolds in Euclidean space, Kangkang Deng, Zheng Peng, IMA Journal of Numerical Analysis, 2023.
• A Discriminative Projection and Representation-Based Classification Framework for Face Recognition, Kangkang Deng, Zheng Peng, Wenxing Zhu, SIAM Journal on Imaging Sciences, 2020.

🎖 Honors and Awards

• 2025.08 湖南省芙蓉计划青年托举.
• 2025.4 湖南省运筹学会理事.

💬 Invited Talks

• 2025.08, Iteration Complexity of Riemannian ADMM, The First Youth Scholars Conference of the Operations Research Society, Taiyuan.
• 2025.05, Nonsmooth Optimization on Riemannian Manifold, Annual Meeting of the Mathematical Programming Society of the Operations Research Society, Shanghai.