Lijun Ding

According to our database, Lijun Ding authored at least 28 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence.

Feng-Yi Liao, Lijun Ding, Yang Zheng

CoRR, 2024

Ransom Access Memories: Achieving Practical Ransomware Protection in Cloud with DeftPunk.

Zhongyu Wang, Yaheng Song, Erci Xu, Haonan Wu, Guangxun Tong, Shizhuo Sun, Haoran Li, Jincheng Liu, Lijun Ding, Rong Liu, Jiaji Zhu, Jiesheng Wu

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods.

Feng-Yi Liao, Lijun Ding, Yang Zheng

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization.

Nuoya Xiong, Lijun Ding, Simon Shaolei Du

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization.

Liwei Jiang, Yudong Chen, Lijun Ding

SIAM J. Math. Data Sci., September, 2023

A strict complementarity approach to error bound and sensitivity of solution of conic programs.

Lijun Ding, Madeleine Udell

Optim. Lett., September, 2023

Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates.

Lijun Ding, Benjamin Grimmer

SIAM J. Optim., June, 2023

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods.

Jun Song, Niao He, Lijun Ding, Chaoyue Zhao

Trans. Mach. Learn. Res., 2023

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.

Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

Trans. Mach. Learn. Res., 2023

An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs.

Feng-Yi Liao, Lijun Ding, Yang Zheng

CoRR, 2023

2022

A Validation Approach to Over-parameterized Matrix and Image Recovery.

Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu

CoRR, 2022

Flat minima generalize for low-rank matrix recovery.

Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel

CoRR, 2022

2021

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity.

Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell

SIAM J. Optim., 2021

On the Simplicity and Conditioning of Low Rank Semidefinite Programs.

Lijun Ding, Madeleine Udell

SIAM J. Optim., 2021

Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence.

Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy

Found. Comput. Math., 2021

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery.

Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TenIPS: Inverse Propensity Sampling for Tensor Completion.

Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis.

Lijun Ding, Yudong Chen

IEEE Trans. Inf. Theory, 2020

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization.

Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell

CoRR, 2020

Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle.

Lijun Ding, Yuqian Zhang, Yudong Chen

CoRR, 2020

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles.

Lijun Ding, Jicong Fan, Madeleine Udell

CoRR, 2020

On the regularity and conditioning of low rank semidefinite programs.

Lijun Ding, Madeleine Udell

CoRR, 2020

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence.

Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery.

Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2008

Mechanical Fault Patterns Identification and Grades Cognizance Based on Geometrical Learning.

Lijun Ding, Liang Hua, Hongwu Li

Proceedings of the PACIIA 2008, 2008

2005

Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study.

Tony J. Simon, Lijun Ding, Joel P. Bish, Donna M. McDonald-McGinn, Elaine H. Zackai, James C. Gee

NeuroImage, 2005

2001

On the Canny edge detector.

Lijun Ding, A. Ardeshir Goshtasby

Pattern Recognit., 2001

2000

Volumetric image registration by template matching.

Lijun Ding, Thisath C. Kularatna, Ardeshir Goshtasby, Martin Satter

Proceedings of the Medical Imaging 2000: Image Processing, 2000