Qingna Li

25 papers Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast Algorithms for Optimal Damping in Mechanical Systems.
CoRR
Qingna Li, Françoise Tisseur
2026 J jnl
Subspace Newton's Method for ℓ
J. Sci. Comput.
Yuge Ye, Qingna Li
2025 J jnl
A Unified Bilevel Model for Adversarial Learning and A Case Study.
CoRR
Yutong Zheng, Qingna Li
2025 J jnl
An Efficient Quadratic Penalty Method for a Class of Graph Clustering Problems.
CoRR
Wenshun Teng, Qingna Li
2023 J jnl
A facial reduction approach for the single source localization problem.
J. Glob. Optim.
He Shi, Qingna Li
2023 J jnl
A majorization penalty method for SVM with sparse constraint.
Optim. Methods Softw.
Si-Tong Lu, Qingna Li
2023 — conf
An Adaptive Sieving Strategy for the Complex Lasso Problem.
DSIT
Xiaoning Bai, Yuge Ye, Qingna Li
2022 — conf
A Unified Framework and a Case Study for Hyperparameter Selection in Machine Learning via Bilevel Optimization.
DSIT
Zhen Li, Yaru Qian, Qingna Li
2022 — conf
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines.
DSIT
Wen Su, Qingna Li
2022 J jnl
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines.
CoRR
Wen Su, Qingna Li
2022 J jnl
Bilevel hyperparameter optimization for support vector classification: theoretical analysis and a solution method.
Math. Methods Oper. Res.
Qingna Li, Zhen Li, Alain B. Zemkoho
2022 J jnl
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines.
CoRR
Wen Su, Qingna Li, Chunfeng Cui
2021 J jnl
An Efficient Quadratic Programming Relaxation Based Algorithm for Large-Scale MIMO Detection.
SIAM J. Optim.
Ping-Fan Zhao, Qingna Li, Wei-Kun Chen, Ya-Feng Liu
2020 J jnl
A Euclidean distance matrix model for protein molecular conformation.
J. Glob. Optim.
Fengzhen Zhai, Qingna Li
2020 J jnl
A Semismooth-Newton's-Method-Based Linearization and Approximation Approach for Kernel Support Vector Machines.
CoRR
Chen Jiang, Qingna Li
2020 J jnl
An efficient augmented Lagrangian method for support vector machine.
Optim. Methods Softw.
Yinqiao Yan, Qingna Li
2019 J jnl
A semismooth Newton method for support vector classification and regression.
Comput. Optim. Appl.
Juan Yin, Qingna Li
2019 J jnl
Ordinal Distance Metric Learning with MDS for Image Ranking.
CoRR
Panpan Yu, Qingna Li
2018 J jnl
A quadratic penalty method for hypergraph matching.
J. Glob. Optim.
Chunfeng Cui, Qingna Li, Liqun Qi, Hong Yan
2018 J jnl
Ordinal Distance Metric Learning with MDS for Image Ranking.
Asia Pac. J. Oper. Res.
Panpan Yu, Qingna Li
2017 J jnl
Unique Decomposition and a New Model for the Ground Moving Target Indication Problem.
J. Optim. Theory Appl.
Qingna Li, Li He, Lijuan Qi, Robert Wang
2011 J jnl
A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem.
SIAM J. Optim.
Qingna Li, Houduo Qi
2011 J jnl
A projected semismooth Newton method for problems of calibrating least squares covariance matrix.
Oper. Res. Lett.
Qingna Li, Donghui Li
2011 J jnl
Block relaxation and majorization methods for the nearest correlation matrix with factor structure.
Comput. Optim. Appl.
Qingna Li, Houduo Qi, Naihua Xiu
2010 J jnl
Newton's Method for Computing the Nearest Correlation Matrix with a Simple Upper Bound.
J. Optim. Theory Appl.
Qingna Li, Donghui Li, Houduo Qi