First order optimality conditions for mathematical programs with semidefinite cone complementarity constraints C Ding, D Sun, JY Jane Mathematical Programming, 2013 | 80 | 2013 |

An introduction to a class of matrix cone programming C Ding, D Sun, KC Toh Mathematical Programming, 2012 | 75 | 2012 |

Characterization of the robust isolated calmness for a class of conic programming problems C Ding, D Sun, L Zhang SIAM Journal on Optimization 27 (1), 67-90, 2017 | 58 | 2017 |

On the Moreau-Yosida regularization of the vector k-norm related functions B Wu, C Ding, D Sun, KC Toh SIAM Journal on Optimization 24 (2), 766-794, 2014 | 51 | 2014 |

An Introduction to a Class of Matrix Optimization Problems C Ding National University of Singapore, 2012 | 42 | 2012 |

Quadratic growth conditions for convex matrix optimization problems associated with spectral functions Y Cui, C Ding, X Zhao SIAM Journal on Optimization 27 (4), 2332-2355, 2017 | 37 | 2017 |

Spectral operators of matrices C Ding, D Sun, J Sun, KC Toh Mathematical Programming 168, 509-531, 2018 | 34 | 2018 |

Convex optimization learning of faithful Euclidean distance representations in nonlinear dimensionality reduction C Ding, HD Qi Mathematical Programming 164, 341-381, 2017 | 33 | 2017 |

A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds Y Zhou, C Bao, C Ding, J Zhu Mathematical Programming 201 (1), 1-61, 2023 | 26 | 2023 |

Convex Euclidean Distance Embedding for Collaborative Position Localization with NLOS Mitigation C Ding, HD Qi Computational Optimization and Applications 66 (1), 187-218, 2017 | 20 | 2017 |

Variational Analysis of the Ky Fan k-norm C Ding Set-Valued and Variational Analysis, 2016 | 17 | 2016 |

Spectral operators of matrices: semismoothness and characterizations of the generalized Jacobian C Ding, D Sun, J Sun, KC Toh SIAM Journal on Optimization 30 (1), 630-659, 2020 | 16 | 2020 |

Strong variational sufficiency for nonlinear semidefinite programming and its implications S Wang, C Ding, Y Zhang, X Zhao SIAM Journal on Optimization 33 (4), 2988-3011, 2023 | 10 | 2023 |

Augmented Lagrangian methods for convex matrix optimization problems Y Cui, C Ding, XD Li, XY Zhao Journal of the Operations Research Society of China 10 (2), 305-342, 2022 | 7 | 2022 |

THOR, trace-based hardware-driven layer-oriented natural gradient descent computation M Chen, K Gao, X Liu, Z Wang, N Ni, Q Zhang, L Chen, C Ding, Z Huang, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7046-7054, 2021 | 7 | 2021 |

A proximal DC approach for quadratic assignment problem Z Jiang, X Zhao, C Ding Computational Optimization and Applications 78, 825–851, 2021 | 5 | 2021 |

Local convergence analysis of augmented Lagrangian method for nonlinear semidefinite programming S Wang, C Ding Computational Optimization and Applications 87 (1), 39-81, 2024 | 4 | 2024 |

On the robust isolated calmness of a class of nonsmooth optimizations on Riemannian manifolds and its applications Y Zhou, C Bao, C Ding arXiv preprint arXiv:2208.07518, 2022 | 3 | 2022 |

Matrix optimization based Euclidean embedding with outliers Q Zhang, X Zhao, C Ding Computational Optimization and Applications, 1-37, 2021 | 2 | 2021 |

Nonsmooth Composite Matrix Optimization: Strong Regularity, Constraint Nondegeneracy and Beyond Y Cui, C Ding arXiv preprint arXiv:1907.13253, 2019 | 2 | 2019 |