教师姓名：Qingna Li
出生日期：
所在学科：Numerical Optimization
职称：associate professor 邮编：102488
联系电话：
E-mail：qnl@bit.edu.cn
通讯地址：School of Mathematics and Statistics, Beijing Institute of Technology

Educational Background
PhD (Sep . 2005-June 2010)
Computational Mathematics, College of Mathematics and Econometrics, Hunan University, China
BSc (Sep. 2001- July 2005)
Information and Computational Science, College of Mathematics and Econometrics, Hunan University, China

Working Experience 2013.7- Associate Professor, school of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China

2012.6-2013.6: Assistant Professor, school of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China
2010.8-2012.6: PostDoc in Institute of Computational Mathematics and Scientific/ Engineering Computing, Chinese Academy of Sciences, Beijing 100190, China

Teachings Optimization methods and theories, function of complex variables, Mathematical Analysis for engineering
Publications
Visiting Positions
2017/6-2017/8University of Southampton, UK
2017/5Simon Fraser University，Canada
2016/2-2016/4Chinese University of Hong Kong
2013.3-2013.5 Chinese University of Hong Kong, HongKong
2010.12 National University of Singapore, Singapore
2008.1-2010.1 University of Southampton, UK

Research Projects
National Science Foundation of China (01/2012-12/2014) : Numerical Algorithm for Rank Constraint Semidefinite Programming (Grant No. **)
China Postdoctoral Science Foundation (11/2011-6/2012): Numerical Methods for Schatten-p Relaxation of Matrix Rank Minimization Problems(Grant No.: 2011M500416).
National Natural Science Foundation of China (01/2017-12/2020) :Matrix Optimization Models and Algorithms for Nonmetric Multidimensional Scaling (Grant No.**)

Publication 【1】. Zhai F.Z. and Li Q.N., A Euclidean Distance Matrix Model forProtein Molecular Conformation, Journal of Global Optimization, 2019, DOI: 10.1007/s10898-019-00771-4.
【2】.Tongyao Pang, Qingna Li and Zaiwen Wen, Zuowei Shen, Phase retrieval: a data-driven wavelet frame based approach, Applied and Computational Harmonic Analysis,2019
【3】.《讲义》，李庆娜，李萌萌，于盼盼，科学出版社，2019.1.ISBN 978-7-03-000000-0
【4】.Yin J. and Li Q.N., A Semismooth Newton Method for Support Vector Classification and Regression, Computational Opitmization and Applications., 2019, DOI:10.1007/s10589-019-00075-z
【5】.Yu P.P. and Li Q.N., Ordinal Distance Metric Learning with MDS for Image Ranking, Asia Pacific Journal on Operations Research, 2018,35（1）：**
【6】.Cui C.F., Li Q.N., Qi L.Q. and Yan H., A quadratic penalty method for hypergraph matching, Journal of Global Optimization, 2018，70（1），237-259.
【7】.Li Q.N., Qi H.D., An Inexact Smoothing Newton Method for Euclidean Distance Matrix Optimization Under Ordinal Constraints, Journal of Computational Mathematics, 2017,35(4), 467-483
【8】.Li Q.N., He L., Qi L.J. and Wang R., Unique decomposition and a new model for the ground moving target indication problem, Journal of Optimization Theory and Applications, 2017,173(1):297-312
【9】.Li Q.N., Yan H.,Wu L.Q. and Wang R.,Robust PCA for Ground Moving Target Indication in Wide-Area Surveillance Radar System, Journal of Operations Research Society of China,1 ( 2013), 135-153.
【10】.Li Q.N.,Alternating direction method for a class of constrained matrix approximation problems,Pacific Journal of Optimization,8(2012),765-778
【11】.Li D.H. andLi Q.N.,A projected semismooth Newton method for problems of calibrating least squares covariance matrix, Operations Research Letter， 39（2011），103-108
【12】.Li Q.N.and Li D.H., A class of derivative-free methods for large-scale nonlinear monotone equations, IMA Journal on Numerical Analysis, 2011, DOI: 10.1093/imanum/drp015.
【13】.Li Q.N.,Qi H.D. and Xiu N.H., Block relaxation and majorization methods for the nearest correlation matrix with factor structure, Computational Optimization and Applications, 50（2011）, 327-349.
【14】.Li Q.N.,Li D.H. and Qi H.D., Newton's method for computing the nearest correlation matrix with a simple upper bound, Journal on Optimization Theory and Applications，147（2010），546-568.
【15】.Li Q.N.and Qi H.D., A sequential semismooth Newton method for the nearest low-rank correlation matrix problem, SIAM Journal on Optimization, 21(2011). 1641-1666

Research Interests Optimization methods and theories, especially in matrix optimization, sparse optimization. Applications in finance, statistics, signal processing and others

Conference Talks and Invited Presentations
Conference Organization
Grants & Scholarships Assessor
International Refereed Journals
International Refereed Proceedings