| Sparse-view x-ray CT reconstruction via total generalized variation regularization S Niu, Y Gao, Z Bian, J Huang, W Chen, G Yu, Z Liang, J Ma Physics in Medicine & Biology 59 (12), 2997, 2014 | 278 | 2014 |
| Higher order positive semidefinite diffusion tensor imaging L Qi, G Yu, EX Wu SIAM Journal on Imaging Sciences 3 (3), 416-433, 2010 | 187 | 2010 |
| The superlinear convergence of a modified BFGS-type method for unconstrained optimization Z Wei, G Yu, G Yuan, Z Lian Computational optimization and applications 29, 315-332, 2004 | 150 | 2004 |
| The Z‐eigenvalues of a symmetric tensor and its application to spectral hypergraph theory G Li, L Qi, G Yu Numerical Linear Algebra with Applications 20 (6), 1001-1029, 2013 | 140 | 2013 |
| Properties of solution set of tensor complementarity problem Y Song, G Yu Journal of Optimization Theory and Applications 170 (1), 85-96, 2016 | 117 | 2016 |
| Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization G Yu, L Guan, W Chen Optimization Methods and Software 23 (2), 275-293, 2008 | 93 | 2008 |
| A descent spectral conjugate gradient method for impulse noise removal G Yu, J Huang, Y Zhou Applied mathematics letters 23 (5), 555-560, 2010 | 68 | 2010 |
| A descent nonlinear conjugate gradient method for large-scale unconstrained optimization G Yu, Y Zhao, Z Wei Applied mathematics and computation 187 (2), 636-643, 2007 | 67 | 2007 |
| Multivariate spectral gradient projection method for nonlinear monotone equations with convex constraints G Yu, S Niu, J Ma J. Ind. Manag. Optim 9 (1), 117-129, 2013 | 64 | 2013 |
| Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction S Niu, G Yu, J Ma, J Wang Inverse problems 34 (2), 024003, 2018 | 58 | 2018 |
| Nonnegative diffusion orientation distribution function L Qi, G Yu, Y Xu Journal of Mathematical Imaging and Vision 45, 103-113, 2013 | 56 | 2013 |
| Motion capture data completion via truncated nuclear norm regularization W Hu, Z Wang, S Liu, X Yang, G Yu, JJ Zhang IEEE Signal Processing Letters 25 (2), 258-262, 2017 | 41 | 2017 |
| On nonmonotone Chambolle gradient projection algorithms for total variation image restoration G Yu, L Qi, Y Dai Journal of Mathematical Imaging and Vision 35 (2), 143-154, 2009 | 41 | 2009 |
| Global convergence of modified Polak-Ribière-Polyak conjugate gradient methods with sufficient descent property G Yu, L Guan, G Li Journal of Industrial and Management optimization 4 (3), 565-579, 2008 | 41 | 2008 |
| Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations S Niu, S Zhang, J Huang, Z Bian, W Chen, G Yu, Z Liang, J Ma Neurocomputing 197, 143-160, 2016 | 40 | 2016 |
| Globally convergent Polak–Ribière–Polyak conjugate gradient methods under a modified Wolfe line search G Yu, L Guan, Z Wei Applied Mathematics and Computation 215 (8), 3082-3090, 2009 | 33 | 2009 |
| Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application G Li, L Qi, G Yu Linear Algebra and its Applications 438 (2), 813-833, 2013 | 32 | 2013 |
| A derivative-free method for solving large-scale nonlinearsystems of equations G Yu Journal of Industrial and Management Optimization 6 (1), 149-160, 2009 | 30 | 2009 |
| Impulse noise removal by a nonmonotone adaptive gradient method G Yu, L Qi, Y Sun, Y Zhou Signal processing 90 (10), 2891-2897, 2010 | 28 | 2010 |
| Multivariate spectral gradient method for unconstrained optimization L Han, G Yu, L Guan Applied Mathematics and Computation 201 (1-2), 621-630, 2008 | 26 | 2008 |
Liqun QiChair Professor of Applied mathematics, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
