| A family of spectral gradient methods for optimization YH Dai, Y Huang, XW Liu Computational Optimization and Applications 74, 43-65, 2019 | 58 | 2019 |
| Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization Y Huang, H Liu, S Zhou Data Mining and Knowledge Discovery, 2014 | 36 | 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 | 28 | 2015 |
| Equipping the Barzilai--Borwein method with the two dimensional quadratic termination property YK Huang, YH Dai, XW Liu SIAM Journal on Optimization 31 (4), 3068-3096, 2021 | 24 | 2021 |
| On the acceleration of the Barzilai–Borwein method Y Huang, YH Dai, XW Liu, H Zhang Computational Optimization and Applications 81 (3), 717-740, 2022 | 22 | 2022 |
| Smoothing projected Barzilai–Borwein method for constrained non-Lipschitz optimization Y Huang, H Liu Computational Optimization and Applications 65 (3), 671-698, 2016 | 21 | 2016 |
| Gradient methods exploiting spectral properties Y Huang, YH Dai, XW Liu, H Zhang Optimization Methods and Software 35 (4), 681-705, 2020 | 19 | 2020 |
| A Barzilai-Borwein type method for minimizing composite functions Y Huang, H Liu Numerical Algorithms, 2014 | 19 | 2014 |
| A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints XW Liu, YH Dai, YK Huang, J Sun Mathematics of Computation 92 (341), 1301-1330, 2023 | 12 | 2023 |
| On the asymptotic convergence and acceleration of gradient methods Y Huang, YH Dai, XW Liu, H Zhang Journal of Scientific Computing 90, 1-29, 2022 | 12 | 2022 |
| On the rate of convergence of projected Barzilai–Borwein methods Y Huang, H Liu Optimization Methods and Software 30 (4), 880-892, 2015 | 11 | 2015 |
| 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 |
| 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 | 11 | 2011 |
| Achieving geometric convergence for distributed optimization with Barzilai-Borwein step sizes J Gao, XW Liu, YH Dai, Y Huang, P Yang Science China. Information Sciences 65 (4), 149204, 2022 | 10 | 2022 |
| 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 | 10 | 2011 |
| 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 |
| A family of distributed momentum methods over directed graphs with linear convergence J Gao, X Liu, YH Dai, Y Huang, P Yang IEEE Transactions on Automatic Control 68 (2), 1085-1092, 2022 | 9 | 2022 |
| Convergence rate of gradient descent method for multi-objective optimization L Zeng, Y Dai, Y Huang Journal of Computational Mathematics 37 (5), 689, 2019 | 7 | 2019 |
| 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 | 7 | 2019 |
| Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization J Gao, XW Liu, YH Dai, Y Huang, J Gu Computational Optimization and Applications 84 (2), 531-572, 2023 | 6 | 2023 |
Yu-Hong Daichinese academy of sciences在 lsec.cc.ac.cn 的电子邮件经过验证
Yu-Hong Daichinese academy of sciences在 lsec.cc.ac.cn 的电子邮件经过验证
hongchao ZhangLouisiana State University在 math.lsu.edu 的电子邮件经过验证