Lijun Ding - RankMe

46 papers A* 6A 2B 1Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An overview and comparison of spectral bundle methods for primal and dual semidefinite programs. Comput. Optim. Appl. Feng-Yi Liao, Lijun Ding, Yang Zheng
2026	J	`jnl`	Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods. J. Glob. Optim. Feng-Yi Liao, Lijun Ding, Yang Zheng
2026	A	`conf`	Scheduling Cloud Block Storage Proactively and Reactively with Omar. EuroSys Xinqi Chen, Weidong Zhang, Zhongyu Wang, Erci Xu, Xiaolu Zhang, Dong Wu, Junping Wu, Haonan Wu, Ruiming Lu, Yaheng Song, Chaolei Hu, Lijun Ding, Guangtao Xue, Patrick P. C. Lee
2025	J	`jnl`	A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization. CoRR Junren Chen, Lijun Ding, Dong Xia, Ming Yuan
2025	—	`conf`	A Validation Approach to Over-parameterized Matrix and Image Recovery. CPAL Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
2025	J	`jnl`	Interpretable Time Series Autoregression for Periodicity Quantification. CoRR Xinyu Chen, Vassilis Digalakis Jr, Lijun Ding, Dingyi Zhuang, Jinhua Zhao
2025	J	`jnl`	On Squared-Variable Formulations. SIAM J. Optim. Lijun Ding, Stephen J. Wright
2024	—	`conf`	Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods. L4DC Feng-Yi Liao, Lijun Ding, Yang Zheng
2024	A*	`conf`	How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization. ICLR Nuoya Xiong, Lijun Ding, Simon Shaolei Du
2024	A*	`conf`	Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence. NeurIPS Feng-Yi Liao, Lijun Ding, Yang Zheng
2024	J	`jnl`	Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence. CoRR Feng-Yi Liao, Lijun Ding, Yang Zheng
2024	A*	`conf`	Ransom Access Memories: Achieving Practical Ransomware Protection in Cloud with DeftPunk. OSDI Zhongyu Wang, Yaheng Song, Erci Xu, Haonan Wu, Guangxun Tong, Shizhuo Sun, Haoran Li, Jincheng Liu, Lijun Ding, Rong Liu, Jiaji Zhu, Jiesheng Wu
2023	J	`jnl`	A strict complementarity approach to error bound and sensitivity of solution of conic programs. Optim. Lett. Lijun Ding, Madeleine Udell
2023	J	`jnl`	Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization. SIAM J. Math. Data Sci. Liwei Jiang, Yudong Chen, Lijun Ding
2023	J	`jnl`	An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs. CoRR Feng-Yi Liao, Lijun Ding, Yang Zheng
2023	J	`jnl`	Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods. CoRR Feng-Yi Liao, Lijun Ding, Yang Zheng
2023	J	`jnl`	Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. Trans. Mach. Learn. Res. Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell
2023	J	`jnl`	How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization. CoRR Nuoya Xiong, Lijun Ding, Simon S. Du
2023	J	`jnl`	Provably Convergent Policy Optimization via Metric-aware Trust Region Methods. CoRR Jun Song, Niao He, Lijun Ding, Chaoyue Zhao
2023	J	`jnl`	Provably Convergent Policy Optimization via Metric-aware Trust Region Methods. Trans. Mach. Learn. Res. Jun Song, Niao He, Lijun Ding, Chaoyue Zhao
2023	J	`jnl`	Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates. SIAM J. Optim. Lijun Ding, Benjamin Grimmer
2022	J	`jnl`	A Validation Approach to Over-parameterized Matrix and Image Recovery. CoRR Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
2022	J	`jnl`	Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization. CoRR Liwei Jiang, Yudong Chen, Lijun Ding
2022	J	`jnl`	Flat minima generalize for low-rank matrix recovery. CoRR Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel
2021	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2021	J	`jnl`	Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. Found. Comput. Math. Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
2021	J	`jnl`	On the Simplicity and Conditioning of Low Rank Semidefinite Programs. SIAM J. Optim. Lijun Ding, Madeleine Udell
2021	A*	`conf`	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
2021	J	`jnl`	Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
2021	A	`conf`	TenIPS: Inverse Propensity Sampling for Tensor Completion. AISTATS Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
2021	J	`jnl`	TenIPS: Inverse Propensity Sampling for Tensor Completion. CoRR Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell
2020	J	`jnl`	Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis. IEEE Trans. Inf. Theory Lijun Ding, Yudong Chen
2020	J	`jnl`	Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization. CoRR Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell
2020	J	`jnl`	Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle. CoRR Lijun Ding, Yuqian Zhang, Yudong Chen
2020	J	`jnl`	On the regularity and conditioning of low rank semidefinite programs. CoRR Lijun Ding, Madeleine Udell
2020	A*	`conf`	Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence. ICML Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang
2020	J	`jnl`	kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles. CoRR Lijun Ding, Jicong Fan, Madeleine Udell
2019	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2019	A*	`conf`	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. NeurIPS Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
2019	J	`jnl`	Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. CoRR Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell
2019	J	`jnl`	Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. CoRR Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
2018	J	`jnl`	The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis. CoRR Lijun Ding, Yudong Chen
2008	—	`conf`	Mechanical Fault Patterns Identification and Grades Cognizance Based on Geometrical Learning. PACIIA (1) Lijun Ding, Liang Hua, Hongwu Li
2005	J	`jnl`	Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study. NeuroImage Tony J. Simon, Lijun Ding, Joel P. Bish, Donna M. McDonald-McGinn, Elaine H. Zackai, James C. Gee
2001	J	`jnl`	On the Canny edge detector. Pattern Recognit. Lijun Ding, A. Ardeshir Goshtasby
2000	B	`conf`	Volumetric image registration by template matching. Image Processing Lijun Ding, Thisath C. Kularatna, Ardeshir Goshtasby, Martin Satter