Maximum block improvement and polynomial optimization B Chen, S He, Z Li, S Zhang SIAM Journal on Optimization 22 (1), 87-107, 2012 | 198 | 2012 |
Approximation algorithms for homogeneous polynomial optimization with quadratic constraints S He, Z Li, S Zhang Mathematical Programming 125 (2), 353-383, 2010 | 126 | 2010 |
On convergence of the maximum block improvement method Z Li, A Uschmajew, S Zhang SIAM Journal on Optimization 25 (1), 210-233, 2015 | 48 | 2015 |
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications Z Li, S He, S Zhang Springer-Verlag, 2012 | 48 | 2012 |
On orthogonal tensors and best rank-one approximation ratio Z Li, Y Nakatsukasa, T Soma, A Uschmajew SIAM Journal on Matrix Analysis and Applications 39 (1), 400-425, 2018 | 34 | 2018 |
Approximation algorithms for discrete polynomial optimization S He, Z Li, S Zhang Journal of the Operations Research Society of China 1 (1), 3-36, 2013 | 34 | 2013 |
Probability bounds for polynomial functions in random variables S He, B Jiang, Z Li, S Zhang Mathematics of Operations Research 39 (3), 889-907, 2014 | 31 | 2014 |
On cones of nonnegative quartic forms B Jiang, Z Li, S Zhang Foundations of Computational Mathematics 17 (1), 161-197, 2017 | 26* | 2017 |
Characterizing real-valued multivariate complex polynomials and their symmetric tensor representations B Jiang, Z Li, S Zhang SIAM Journal on Matrix Analysis and Applications 37 (1), 381-408, 2016 | 23 | 2016 |
On optimal low rank Tucker approximation for tensors: The case for an adjustable core size B Chen, Z Li, S Zhang Journal of Global Optimization 62 (4), 811-832, 2015 | 22* | 2015 |
Approximation methods for complex polynomial optimization B Jiang, Z Li, S Zhang Computational Optimization and Applications 59 (1-2), 219-248, 2014 | 22 | 2014 |
Inhomogeneous polynomial optimization over a convex set: An approximation approach S He, Z Li, S Zhang Mathematics of Computation 84 (292), 715-741, 2015 | 21* | 2015 |
Bounds on the spectral norm and the nuclear norm of a tensor based on tensor partitions Z Li SIAM Journal on Matrix Analysis and Applications 37 (4), 1440-1452, 2016 | 18 | 2016 |
Polynomial Optimization Problems: Approximation Algorithms and Applications Z Li The Chinese University of Hong Kong, 2011 | 16* | 2011 |
On decompositions and approximations of conjugate partial‑symmetric tensors T Fu, B Jiang, Z Li Calcolo 58 (4), 46, 2021 | 11* | 2021 |
On the tensor spectral p-norm and its dual norm via partitions B Chen, Z Li Computational Optimization and Applications 75 (3), 609-628, 2020 | 11 | 2020 |
Unsupervised feature selection via graph regularized nonnegative CP decomposition B Chen, J Guan, Z Li IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2582-2594, 2023 | 10 | 2023 |
On norm compression inequalities for partitioned block tensors Z Li, YB Zhao Calcolo 57 (1), 11, 2020 | 10 | 2020 |
On new classes of nonnegative symmetric tensors B Chen, S He, Z Li, S Zhang SIAM Journal on Optimization 27 (1), 292-318, 2017 | 8 | 2017 |
Moments tensors, Hilbert's identity, and -wise uncorrelated random variables B Jiang, S He, Z Li, S Zhang Mathematics of Operations Research 39 (3), 775-788, 2014 | 7 | 2014 |