6 citations · 15 across the 8 of their papers we have counts for
10 papers
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines
Wen Su, Qingna Li, Chunfeng Cui
Adversarial perturbations have drawn great attentions in various deep neural networks. Most of them are computed by iterations and cannot be interpreted very well. In contrast, lit…
Bilevel hyperparameter optimization for support vector classification: theoretical analysis and a solution method
Qingna Li, Zhen Li, Alain Zemkoho
Support vector classification (SVC) is a classical and well-performed learning method for classification problems. A regularization parameter, which significantly affects the class…
A Majorization Penalty Method for SVM with Sparse Constraint
Lu Sitong, Li Qinana
Support vector machine is an important and fundamental technique in machine learning. Soft-margin SVM models have stronger generalization performance compared with the hard-margin…
A Semismooth-Newton's-Method-Based Linearization and Approximation Approach for Kernel Support Vector Machines
Chen Jiang, Qingna Li
Support Vector Machines (SVMs) are among the most popular and the best performing classification algorithms. Various approaches have been proposed to reduce the high computation an…
A Novel Posture Positioning Method for Multi-Joint Manipulators
Zhi-Qiang Yao, Yi-Jue Dai, Qing-Na Li +2
Safety and automatic control are extremely important when operating manipulators. For large engineering manipulators, the main challenge is to accurately recognize the posture of a…
Feasibility and A Fast Algorithm for Euclidean Distance Matrix Optimization with Ordinal Constraints
Sitong Lu, Miao Zhang, Qingna Li
Euclidean distance matrix optimization with ordinal constraints (EDMOC) has found important applications in sensor network localization and molecular conformation. It can also be v…