ZHENING LI  

Senior Lecturer, School of Mathematics and Physics, University of Portsmouth, Portsmouth (Staff Profile)
Member, Centre for Operational Research and Logistics, University of Portsmouth, Portsmouth (Research Explorer)

Ph.D., Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, 2011
M.A., Mathematics & Financial Engineering, York University, Toronto, 2003
B.Sc., Mathematics, Peking University, Beijing, 1999

CONTACT

• Office: LG1.44, Lion Gate Building

• Address: School of Mathematics and Physics, University of Portsmouth, Portsmouth PO1 3HF, United Kingdom

• Phone: +44 (0) 23 9284 6359

• Email: zhening.li@port.ac.uk

COURSES

• Calculus II, Spring 2022-2023, University of Portsmouth

• Numerical Analysis, Fall 2020-2021, Fall 2021-2022, Fall 2022-2023, Fall 2023-2024, University of Portsmouth

• Operations Management, Spring 2019-2020, Spring 2020-2021, Spring 2021-2022, Spring 2022-2023, Spring 2023-2024, University of Portsmouth

• Strategic Logistics, Fall 2019-2020, University of Portsmouth

• Quantitative Supply Chain Management, Fall 2017-2018, Fall 2018-2019, University of Portsmouth

• Stochastic Processes, Fall 2015-2016, Fall 2016-2017, Fall 2017-2018, Fall 2018-2019, Spring 2019-2020, University of Portsmouth

• Planning, Scheduling and Supply Chain Management, Fall 2014-2015, Fall 2015-2016, Spring 2016-2017, University of Portsmouth

• Projects in Mathematics, Fall 2014-2015, Spring 2015-2016, Fall 2016-2017, Fall 2017-2018, Fall 2018-2019, Spring 2020-2021, Spring 2021-2022, Spring 2022-2023, University of Portsmouth

• Operational Research, Spring 2013-2014, Spring 2014-2015, Spring 2015-2016, Spring 2016-2017, Spring 2017-2018, Spring 2018-2019, Spring 2019-2020, University of Portsmouth

• Advancing Mathematics, Fall 2013-2014, University of Portsmouth

• Supply Chain Management, Fall 2013-2014, Spring 2021-2022, Spring 2022-2023, University of Portsmouth

• Calculus (A), Spring 2011-2012, Fall & Winter 2012-2013, Shanghai University

• Linear Algebra (D), Fall 2011-2012, Shanghai University

• Mathematical Modeling, Fall 2009-2010, Fall 2010-2011, Ningbo Institute of Technology

• Advanced Mathematics (Bilingual), Fall 2005-2006, Fall & Spring 2006-2007, Fall 2010-2011, Ningbo Institute of Technology

• Calculus (Bilingual), Fall & Spring 2004-2005, Fall & Spring 2005-2006, Fall & Spring 2006-2007, Fall 2010-2011, Ningbo Institute of Technology

• Calculus (C), Spring 2003-2004, Fall 2010-2011, Ningbo Institute of Technology

JOURNAL ARTICLES

• B. Chen, J. Guan, Z. Li, and Z. Zhou, Robust feature extraction via ℓ∞-norm based nonnegative Tucker decomposition, IEEE Transactions on Circuits and Systems for Video Technology, 33(12):7144-7155, 2023 (PDF)

• S. He, H. Hu, B. Jiang, and Z. Li, Approximating tensor norms via sphere covering: Bridging the gap between primal and dual, SIAM Journal on Optimization, 33(3):2062-2088, 2023 (PDF)

• S. Cao, S. He, Z. Li, and Z. Wang, Extreme ratio between spectral and Frobenius norms of nonnegative tensors, SIAM Journal on Matrix Analysis and Applications, 44(2):919-944, 2023 (PDF)

• B. Chen, J. Guan, and Z. Li, Unsupervised feature selection via graph regularized nonnegative CP decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2582-2594, 2023 (PDF)

• T. Fu, B. Jiang, and Z. Li, On decompositions and approximations of conjugate partial‑symmetric tensors, Calcolo, 58(4):46, 2021 (PDF)

• B. Chen and Z. Li, On the tensor spectral p-norm and its dual norm via partitions, Computational Optimization and Applications, 75(3):609-628, 2020 (PDF)

• Z. Li and Y.-B. Zhao, On norm compression inequalities for partitioned block tensors, Calcolo, 57(1):11, 2020 (PDF)

• Z. Li, Y. Nakatsukasa, T. Soma, and A. Uschmajew, On orthogonal tensors and best rank-one approximation ratio, SIAM Journal on Matrix Analysis and Applications, 39(1):400-425, 2018 (PDF)

• T. Fu, B. Jiang, and Z. Li, Approximation algorithms for optimization of real-valued general conjugate complex forms, Journal of Global Optimization, 70(1):99-130, 2018 (PDF)

• B. Chen, S. He, Z. Li, and S. Zhang, On new classes of nonnegative symmetric tensors, SIAM Journal on Optimization, 27(1):292-318, 2017 (PDF)

• B. Jiang, Z. Li, and S. Zhang, On cones of nonnegative quartic forms, Foundations of Computational Mathematics, 17(1):161-197, 2017 (PDF)

• Z. Li, Bounds on the spectral norm and the nuclear norm of a tensor based on tensor partitions, SIAM Journal on Matrix Analysis and Applications, 37(4):1440-1452, 2016 (PDF)

• B. Jiang, Z. Li, and S. Zhang, Characterizing real-valued multivariate complex polynomials and their symmetric tensor representations, SIAM Journal on Matrix Analysis and Applications, 37(1):381-408, 2016 (PDF)

• B. Chen, Z. Li, and S. Zhang, On optimal low rank Tucker approximation for tensors: The case for an adjustable core size, Journal of Global Optimization, 62(4):811-832, 2015 (PDF)

• S. Zhang, Z. Li, and S. Ma, Special issue on polynomial and tensor optimization, Pacific Journal of Optimization, 11(2):223-224, 2015 (PDF)

• Z. Li, A. Uschmajew, and S. Zhang, On convergence of the maximum block improvement method, SIAM Journal on Optimization, 25(1):210-233, 2015 (PDF)

• S. He, Z. Li, and S. Zhang, Inhomogeneous polynomial optimization over a convex set: An approximation approach, Mathematics of Computation, 84(292):715-741, 2015 (PDF) 

• B. Jiang, Z. Li, and S. Zhang, Approximation methods for complex polynomial optimization, Computational Optimization and Applications, 59(1-2):219-248, 2014 (PDF)

• S. He, B. Jiang, Z. Li, and S. Zhang, Probability bounds for polynomial functions in random variables, Mathematics of Operations Research, 39(3):889-907, 2014 (PDF)

• B. Jiang, S. He, Z. Li, and S. Zhang, Moments tensors, Hilbert's identity, and k-wise uncorrelated random variables, Mathematics of Operations Research, 39(3):775-788, 2014 (PDF)

• Z. Li, C. Ling, Y. Wang, and Q. Yang, Some advances in tensor analysis and polynomial optimization, Operations Research Transactions, 18(1):134-148, 2014 (PDF)

• S. He, Z. Li, and S. Zhang, Approximation algorithms for discrete polynomial optimization, Journal of the Operations Research Society of China, 1(1):3-36, 2013 (PDF)

• B. Chen, S. He, Z. Li, and S. Zhang, Maximum block improvement and polynomial optimization, SIAM Journal on Optimization, 22(1):87-107, 2012 (PDF)

• S. He, Z. Li, and S. Zhang, Approximation algorithms for homogeneous polynomial optimization with quadratic constraints, Mathematical Programming, 125(2):353-383, 2010 (PDF)

BOOKS

• Z. Li, S. He, and S. Zhang, Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications, Series: SpringerBriefs in Optimization, Springer, New York, 2012

• Q. Yang, Z. Li, J. Wang, and L. Tu, Case Studies in Mathematical Modeling, Series: Textbooks for the 10th Five-Year Plan of Ministry of Education, Higher Education Press, Beijing, 2006

THESIS

• Z. Li, Polynomial Optimization Problems—Approximation Algorithms and Applications, Ph.D. Dissertation, The Chinese University of Hong Kong, Hong Kong, 2011 (PDF)

Latest update on 8 January 2024