A family of spectral gradient methods for optimization YH Dai, Y Huang, XW Liu Computational Optimization and Applications 74 (1), 43-65, 2019 | 20 | 2019 |
Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization Y Huang, H Liu, S Zhou Data Mining and Knowledge Discovery, 2014 | 19 | 2014 |
An efficient monotone projected Barzilai–Borwein method for nonnegative matrix factorization Y Huang, H Liu, S Zhou Applied Mathematics Letters 45, 12-17, 2015 | 18 | 2015 |
Smoothing projected Barzilai–Borwein method for constrained non-Lipschitz optimization Y Huang, H Liu Computational Optimization and Applications 65 (3), 671-698, 2016 | 12 | 2016 |
A Barzilai–Borwein type method for stochastic linear complementarity problems Y Huang, H Liu, S Zhou Numerical Algorithms 67 (3), 477-489, 2014 | 11 | 2014 |
Solving equations via the trust region and its application to a class of stochastic linear complementarity problems H Liu, X Li, Y Huang Computers & Mathematics with Applications 61 (6), 1646-1664, 2011 | 10 | 2011 |
On the rate of convergence of projected Barzilai–Borwein methods Y Huang, H Liu Optimization Methods and Software 30 (4), 880-892, 2015 | 9 | 2015 |
A Barzilai-Borwein type method for minimizing composite functions Y Huang, H Liu Numerical Algorithms, 2014 | 7 | 2014 |
New reformulation and feasible semismooth Newton method for a class of stochastic linear complementarity problems H Liu, Y Huang, X Li Applied mathematics and computation 217 (23), 9723-9740, 2011 | 7 | 2011 |
Gradient methods exploiting spectral properties Y Huang, YH Dai, XW Liu, H Zhang Optimization Methods and Software 35 (4), 681-705, 2020 | 6 | 2020 |
Partial projected Newton method for a class of stochastic linear complementarity problems H Liu, Y Huang, X Li Numerical Algorithms 58 (4), 593-618, 2011 | 6 | 2011 |
Geometric Convergence for Distributed Optimization with Barzilai-Borwein Step Sizes J Gao, X Liu, YH Dai, Y Huang, P Yang arXiv preprint arXiv:1907.07852, 2019 | 3 | 2019 |
On the asymptotic convergence and acceleration of gradient methods Y Huang, YH Dai, XW Liu, H Zhang arXiv preprint arXiv:1908.07111, 2019 | 2 | 2019 |
On the acceleration of the Barzilai-Borwein method Y Huang, YH Dai, XW Liu, H Zhang arXiv preprint arXiv:2001.02335, 2020 | 1 | 2020 |
Convergence rate of gradient descent method for multi-objective optimization L Zeng, Y Dai, Y Huang Journal of Computational Mathematics 37 (5), 689-703, 2019 | 1 | 2019 |
Smoothing projected cyclic Barzilai–Borwein method for stochastic linear complementarity problems Y Huang, H Liu, T Yu International Journal of Computer Mathematics 93 (7), 1188-1199, 2016 | 1 | 2016 |
A note on the smoothing quadratic regularization method for non-Lipschitz optimization Y Huang, H Liu, W Cong Numerical Algorithms, 2014 | 1 | 2014 |
EQUIPPING BARZILAI-BORWEIN METHOD WITH TWO DIMENSIONAL QUADRATIC TERMINATION PROPERTY Y HUANG, YUH DAI, X LIU arXiv preprint arXiv:2010.12130, 2020 | | 2020 |
A primal-dual interior-point relaxation method with adaptively updating barrier for nonlinear programs XW Liu, YH Dai, YK Huang arXiv preprint arXiv:2007.10803, 2020 | | 2020 |
An Efficient Global Optimization Algorithm for Heated Oil Pipeline Problems M Yang, Y Huang, YH Dai, B Li Industrial & Engineering Chemistry Research 59 (14), 6638-6649, 2020 | | 2020 |