DENG KANGKANG

Assistant Researcher
National University of Defense Technology
Department of Mathematics

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Contact:
National University of Defense Technology
freedeng1208@gmail.com
(+86) 13003897286

    Refereed Publications

  1. Deng, K., Peng, Z. A manifold inexact augmented Lagrangian method for nonsmooth optimization on Riemannian submanifolds in Euclidean space. IMA Journal of Numerical Analysis , drac018. 2022 [Bibtex]
  2. Deng, K. and Peng, Z. and Zhu, W. A Discriminative Projection and Representation-Based Classification Framework for Face Recognition. SIAM Journal on Imaging Sciences. , 2022 [Bibtex]
  3. Deng, K., Peng, Z. and Chen, J. Sparse probabilistic Boolean network problems: A partial proximal-type operator splitting method. Journal of Industrial & Management Optimization , 15(4), pp.1881-1896. 2019 [Bibtex]
  4. Wang, Y., Deng, K., Liu, H., Wen, Z. A Decomposition Augmented Lagrangian Method for Low-rank Semidefinite Programming. Accepted at SIAM journal of Optimization , 2023 [Bibtex]
  5. Liu, H., Deng, K., Liu, H., Wen, Z. An Entropy-Regularized ADMM For Binary Quadratic Programming. Journal of Global Optimization , 2022 [Bibtex]
  6. Deng, K. and Peng, Z.Trace Lasso Regularization for Adaptive Sparse Canonical Correlation Analysis via Manifold Optimization Approach. Journal of the Operations Research Society of China. , 2022 [Bibtex]
  7. Peng, Z., Wu, W., Hu, J., Deng, K.*Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space . Applied Mathematics & Optimization. , 2023 [Bibtex]
  8. Zhu, Z., Mei, Y., Deng, K., He, H., Chen, J., Yang, J., Chang, Y.High-performance Placement Engine for Modern Large-scale FPGAs With Heterogeneity and Clock Constraints . IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. , 2023 [Bibtex]
  9. Hu, J., Deng, K.*, Wu, J., Li, Q.A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity . A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity. , 2024 [Bibtex]
  10. >Wang, X., Deng, K.*, Peng, Z., Yan, C. New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications . Journal of Computational and Applied Mathematics. , 2024.

    11. Submitted Paper

  11. Deng, Z.,Deng, K., Hu, J., Wen,Z. An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization. Submitted. , 2023 [Bibtex]
  12. Deng, K., Hu, J. Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds. Submitted. , 2023 [Bibtex]
  13. Deng, K., Hu, J., Wang, H. Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds. Submitted. , 2023 [Bibtex]
  14. Hu, J., Deng, K.*, Li, N., Li, Q. Decentralized Riemannian natural gradient methods with Kronecker-product approximations. Submitted. , 2023 [Bibtex]
  15. Hu, J., Zhang, J., Deng, K.*. Achieving Consensus over Compact Submanifolds. Submitted. , 2023 [Bibtex]
  16. Dai, Y-H., Deng, K.*., Hui Zhang. A cut-and-project perspective for linearized Bregman iterations. Submitted. , 2024 [Bibtex]
  17. Jin, J., Wang, H., Deng, K.*. Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations. Submitted. , 2024 [Bibtex]
  18. Deng, K.*., Jiang, H., Wu, J., Wen, Z. Oracle complexity of augmented Lagrangian methods for nonsmooth manifold optimization. Submitted. , 2024 [Bibtex]