研究领域
1) Nonlinear Programming and its Applications
2) Machine Learning
3) Matrix Optimization
近期论文
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1) Yu-Hong Dai, Yakui Huang, Xin-Wei Liu. A family of spectral gradient methods for optimization. Computational Optimization and Applications, 74(1): 43-65, 2019.
2) Yakui Huang, Hongwei Liu. Smoothing projected Barzilai–Borwein method for constrained non- Lipschitz optimization. Computational Optimization and Applications, 65(3): 671-698, 2016.
3) Yakui Huang, Hongwei Liu, Shuisheng Zhou. Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization. Data mining and Knowledge Discovery, 29(6): 1665-1684, 2015.
4) Yakui Huang, Hongwei Liu. On the rate of convergence of projected Barzilai–Borwein methods. Optimization Methods & Software, 30(4): 880-892, 2015.
5) Yakui Huang, Hongwei Liu. A Barzilai–Borwein type method for minimizing composite functions. Numerical Algorithms, 69(4): 819-838, 2015.
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