代表性 论著 | [1]Shenglong Zhou, Lili Pan, Naihua Xiu, and Geoffrey Ye Li, A 0/1 constrained optimization solving sample average approximation for chance constrained programming, Mathematics of Operations Research, 2024, 1-29. [2]Xianchao Xiu, Lili Pan, Ying Yang, Wanquan Liu. Efficient and fast joint sparse constrained canonical correlation analysis for fault detection, IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3):4153-4163. [3]Lili Pan, Xiaojun Chen, Group sparse optimization for images recovery using capped folded concave functions, SIAM Journal on Imaging Sciences, 2021, 14(1): 1-25. [4]Shenglong Zhou, Lili Pan, Naihua Xiu. Newton method for ℓ0-regularized optimization, Numerical Algorithms 2021: 1-30. [5]Lili Pan, Ziyan Luo, Naihua Xiu. Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming, Journal of Optimization Theory and Applications, 2017, 175(5):104-118. [6]Lili Pan, Naihua Xiu, Jun Fan. Optimality Conditions for Sparse Nonlinear Programming, Science China Mathematics, 2017, 60(5):759-776. [7]Lili Pan, Shenglong Zhou, Naihua Xiu, Houduo Qi. A Convergent Iterative Hard Thresholding for Nonnegative Sparsity Optimization, Pacific Journal of Optimization, 2017, 13 (2):325-353. [8]Lili Pan, Naihua Xiu, Shenglong Zhou. On Solutions of Sparsity Constrained Optimization, Journal of the Operations Research Society of China, 2015, 3(4):1-19. |
