Volumetric image registration by template matching. - Lijun Ding; Thisath C. Kularatna; Ardeshir Goshtasby; Martin Satter (Image Processing, 2000)

On the Canny edge detector. - Lijun Ding; A. Ardeshir Goshtasby (Pattern Recognit., 2001)

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)

Mechanical Fault Patterns Identification and Grades Cognizance Based on Geometrical Learning. - Lijun Ding; Liang Hua; Hongwu Li (PACIIA (1), 2008)

Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. - Jicong Fan 001; Lijun Ding; Yudong Chen 001; Madeleine Udell (NeurIPS, 2019)

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence. - Lijun Ding; Yingjie Fei; Qiantong Xu; Chengrun Yang (ICML, 2020)

On the regularity and conditioning of low rank semidefinite programs. - Lijun Ding; Madeleine Udell (CoRR, 2020)

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles. - Lijun Ding; Jicong Fan 001; 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 001 (CoRR, 2020)

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization. - Jicong Fan 001; Lijun Ding; Chengrun Yang; Madeleine Udell (CoRR, 2020)

Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis. - Lijun Ding; Yudong Chen 001 (IEEE Trans. Inf. Theory, 2020)

TenIPS: Inverse Propensity Sampling for Tensor Completion. - Chengrun Yang; Lijun Ding; Ziyang Wu; Madeleine Udell (AISTATS, 2021)

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. - Lijun Ding; Liwei Jiang; Yudong Chen 001; Qing Qu 001; Zhihui Zhu (NeurIPS, 2021)

Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. - Vasileios Charisopoulos; Yudong Chen 001; Damek Davis; Mateo Díaz; Lijun Ding; Dmitriy Drusvyatskiy (Found. Comput. Math., 2021)

On the Simplicity and Conditioning of Low Rank Semidefinite Programs. - Lijun Ding; Madeleine Udell (SIAM J. Optim., 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)

Flat minima generalize for low-rank matrix recovery. - Lijun Ding; Dmitriy Drusvyatskiy; Maryam Fazel (CoRR, 2022)

An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs. - Feng-Yi Liao; Lijun Ding; Yang Zheng 001 (CoRR, 2023)

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. - Jicong Fan 001; Lijun Ding; Chengrun Yang; Zhao Zhang 001; Madeleine Udell (Trans. Mach. Learn. Res., 2023)

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods. - Jun Song; Niao He; Lijun Ding; Chaoyue Zhao (Trans. Mach. Learn. Res., 2023)

Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates. - Lijun Ding; Benjamin Grimmer (SIAM J. Optim., 2023)

A strict complementarity approach to error bound and sensitivity of solution of conic programs. - Lijun Ding; Madeleine Udell (Optim. Lett., 2023)

Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization. - Liwei Jiang; Yudong Chen 001; Lijun Ding (SIAM J. Math. Data Sci., 2023)

How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization. - Nuoya Xiong; Lijun Ding; Simon Shaolei Du (ICLR, 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 001 (L4DC, 2024)

Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence. - Feng-Yi Liao; Lijun Ding; Yang Zheng 001 (NeurIPS, 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 (OSDI, 2024)

Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence. - Feng-Yi Liao; Lijun Ding; Yang Zheng 001 (CoRR, 2024)

A Validation Approach to Over-parameterized Matrix and Image Recovery. - Lijun Ding; Zhen Qin; Liwei Jiang; Jinxin Zhou; Zhihui Zhu (CPAL, 2025)

Interpretable Time Series Autoregression for Periodicity Quantification. - Xinyu Chen; Vassilis Digalakis Jr; Lijun Ding; Dingyi Zhuang; Jinhua Zhao (CoRR, 2025)