基本信息：
林蓝玉，博士，2023年12月入职91暗网
。主要研究方向为最优化理论、方法及其应用、统计优化。
科研项目：
1. 大规模低秩矩阵最小二乘问题高效算法的研究及其实现，项目编号：JAT241003，福建省中青年教师教育科研项目，2024.12-2027.08，主持
2. 非光滑矩阵最小二乘问题的算法研究，项目编号：2025SXLMQN01，福建省高校数学学科联盟科研项目，2024.10-2025.12，主持
3. 低秩矩阵优化问题理论、算法及其应用研究，项目编号：2023J02007，福建省自然科学基金重点项目，2023.08-2026.07，参与
主要论著：
1．Lanyu Lin, Yong-Jin Liu*, Bo Wang, and Junfeng Yang, Adaptive sieving with semismooth Newton proximal augmented Lagrangian algorithm for multi-task Lasso problems, arXiv preprint arXiv:2504.15113.
2．Lanyu Lin and Yong-Jin Liu*, An inexact semismooth Newton-based augmented Lagrangian algorithm for multi-task Lasso problems, Asia-Pacific Journal of Operational Research, 41(3), 2024, 2350027.
3．Yong-Jin Liu, Yuqi Wan, and Lanyu Lin*, An efficient algorithm for Fantope-constrained sparse principal subspace estimation problem, Applied Mathematics and Computation, 475, 2024, 128708.
4．Lanyu Lin and Yong-Jin Liu*, An efficient Hessian based algorithm for singly linearly and box constrained least squares regression, Journal of Scientific Computing, 88(1), 2021, 1--26.
5．Yong-Jin Liu*, Jiajing Xu, and Lanyu Lin, An Easily implementable algorithm for efficient projection onto the ordered weighted $\ell_1$ norm ball, Journal of the Operations Research Society of China, 11(4), 2023, 925--940.
6．Bo Wang, Lanyu Lin, and Yong-Jin Liu*, Efficient projection onto the intersection of a half-space and a box-like set and its generalized Jacobian, Optimization, 71(4), 2022, 1073--1096.
