作者： He Shi¹; & Qingna Li ²; （¹School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, 100081, China;²School of Mathematics and Statistics, Beijing Institute of Technology/Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing, 100081, China）

出处： Journal of Global Optimization 2022

关键词： Single source localization;Euclidean distance matrix;Facial reduction;Majorized penalty approach;Constraint nondegeneracy

摘要： The single source localization problem (SSLP) appears in several fields such as signal processing and global positioning systems. The optimization pro ...

作者： Chen, Aoxiang¹;Li, Qingna²; （¹ Beijing Inst Technol Beijing, Sch Math & Stat, Beijing 100081, Peoples R China. ;² Beijing Inst Technol, Sch Math & Stat, Beijing Key Lab MCAACI, Key Lab Math Theory & Computat Informat Secur, Beijing 100081, Peoples R China.）

出处： PACIFIC JOURNAL OF OPTIMIZATION 2022 Vol.18 No.3 P545-564

关键词： SINGULAR SPECTRUM ANALYSIS; EMPIRICAL MODE DECOMPOSITION; TIME-SERIES; STOCHASTIC RESONANCE

摘要： Based on the Hankel structured low-rank approximation and the technique of majorization, the sequential majorization method (SMM-Cadzow) proposed by Q ...

作者： Su, Wen;Li, Qingna （¹School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China;²School of Mathematics and Statistics, Beijing Key Laboratory on MCAACI, Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing Institute of Technology, Beijing, China）

出处： arXiv 2022

摘要： Adversarial perturbations have drawn great attentions in various machine learning models. In this paper, we investigate the sample adversarial perturb ...

作者： Li, Qingna¹; Li, Zhen²; Zemkoho, Alain³ （¹School of Mathematics and Statistics/Beijing Key Laboratory on MCAACI/Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing Institute of Technology, Beijing; 100081, China;²School of Mathematics and Statistics, Beijing Institute of Technology, Beijing; 100081, China;³School of Mathematical Sciences, University of Southampton, Southampton; SO17 1BJ, United Kingdom）

出处： Mathematical Methods of Operations Research 2022 Vol.96 No.3 P315-350

作者： Su, Wen¹; Li, Qingna²; Cui, Chunfeng³; （¹School of Mathematics and Statistics, Beijing Institute of Technology, Beijing; 100081, China;²School of Mathematics and Statistics, Beijing Key Laboratory on MCAACI, Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing Institute of Technology, Beijing; 100081, China;³The Ministry of Education, School of Mathematical Sciences, Beihang University, 100191, China）

出处： arXiv 2022

摘要： Adversarial perturbations have drawn great attentions in various deep neural networks. Most of them are computed by iterations and cannot be interpret ...

作者： Bai, Xiaoning¹;Li, Qingna²; （¹School of Mathematics and Statistics, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Haidian District, Beijing; 100081, China;²School of Mathematics and Statistics, Beijing Key Laboratory on MCAACI, Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Haidian District, Beijing; 100081, China）

出处： arXiv 2022

摘要： The high-dimensional rank lasso (hdr lasso) model is an efficient approach to deal with high-dimensional data analysis. It was proposed as a tuning-fr ...

作者： Shi, He;Li, Qingna （¹School of Mathematics and Statistics, Beijing Institute of Technology, Beijing; 100081, China;²School of Mathematics and Statistics, Beijing Key Laboratory on MCAACI, Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing Institute of Technology, Beijing; 100081, China）

出处： arXiv 2021

摘要： The single source localization problem (SSLP) appears in several fields such as signal processing and global positioning systems. The optimization pro ...

作者： 于盼盼 （导师：李庆娜）

学位名称： 硕士

出处： 北京理工大学 2017