Artificial intelligence: A powerful paradigm for scientific research Y Xu, X Liu, X Cao, C Huang, E Liu, S Qian, X Liu, Y Wu, F Dong, CW Qiu, ... The Innovation 2 (4), 2021 | 974 | 2021 |
Alternating direction methods for classical and ptychographic phase retrieval Z Wen, C Yang, X Liu, S Marchesini Inverse Problems 28 (11), 115010, 2012 | 222 | 2012 |
A brief introduction to manifold optimization J Hu, X Liu, ZW Wen, YX Yuan Journal of the Operations Research Society of China 8, 199-248, 2020 | 201 | 2020 |
A new first-order algorithmic framework for optimization problems with orthogonality constraints B Gao, X Liu, X Chen, Y Yuan SIAM Journal on Optimization 28 (1), 302-332, 2018 | 92* | 2018 |
Limited memory block Krylov subspace optimization for computing dominant singular value decompositions X Liu, Z Wen, Y Zhang SIAM Journal on Scientific Computing 35 (3), A1641-A1668, 2013 | 84 | 2013 |
On the convergence of the self-consistent field iteration in Kohn--Sham density functional theory X Liu, X Wang, Z Wen, Y Yuan SIAM Journal on Matrix Analysis and Applications 35 (2), 546-558, 2014 | 65 | 2014 |
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights C Chen, M Li, X Liu, Y Ye Mathematical Programming 173, 37-77, 2019 | 64 | 2019 |
Parallelizable algorithms for optimization problems with orthogonality constraints B Gao, X Liu, Y Yuan SIAM Journal on Scientific Computing 41 (3), A1949-A1983, 2019 | 63 | 2019 |
On the nonergodic convergence rate of an inexact augmented Lagrangian framework for composite convex programming YF Liu, X Liu, S Ma Mathematics of Operations Research 44 (2), 632-650, 2019 | 60 | 2019 |
Trace-penalty minimization for large-scale eigenspace computation Z Wen, C Yang, X Liu, Y Zhang Journal of Scientific Computing 66, 1175-1203, 2016 | 57 | 2016 |
An efficient Gauss--Newton algorithm for symmetric low-rank product matrix approximations X Liu, Z Wen, Y Zhang SIAM Journal on Optimization 25 (3), 1571-1608, 2015 | 49 | 2015 |
Well-balanced central-upwind scheme for a fully coupled shallow water system modeling flows over erodible bed X Liu, A Mohammadian, A Kurganov, JAI Sedano Journal of Computational Physics 300, 202-218, 2015 | 47 | 2015 |
On the analysis of the discretized Kohn--Sham density functional theory X Liu, Z Wen, X Wang, M Ulbrich, Y Yuan SIAM Journal on Numerical Analysis 53 (4), 1758-1785, 2015 | 43 | 2015 |
Well-balanced positivity preserving central-upwind scheme with a novel wet/dry reconstruction on triangular grids for the Saint-Venant system X Liu, J Albright, Y Epshteyn, A Kurganov Journal of Computational Physics 374, 213-236, 2018 | 40 | 2018 |
Comparison of measured dam-break flood waves in triangular and rectangular channels B Wang, J Zhang, Y Chen, Y Peng, X Liu, W Liu Journal of Hydrology 575, 690-703, 2019 | 39 | 2019 |
A class of smooth exact penalty function methods for optimization problems with orthogonality constraints N Xiao, X Liu, Y Yuan Optimization Methods and Software 37 (4), 1205-1241, 2022 | 37 | 2022 |
A coupled numerical model for water flow, sediment transport and bed erosion X Liu, A Beljadid Computers & Fluids 154, 273-284, 2017 | 34 | 2017 |
Even more destructive: cascade dam break floods Z Cao, W Huang, G Pender, X Liu Journal of Flood Risk Management 7 (4), 357-373, 2014 | 34 | 2014 |
Globally convergent Levenberg-Marquardt method for phase retrieval C Ma, X Liu, Z Wen IEEE Transactions on Information Theory 65 (4), 2343-2359, 2018 | 32 | 2018 |
An asymptotic preserving scheme for the two-dimensional shallow water equations with Coriolis forces X Liu, A Chertock, A Kurganov Journal of Computational Physics 391, 259-279, 2019 | 28 | 2019 |