林乾 - 清华大学统计学研究中心

研究方向：数理统计，机器学习，深度学习

地址：清华大学伟清楼209-A室

电话： 010-62782431

邮箱： qianlin@tsinghua.edu.cn

工作经历

研究兴趣

发表论文

Qian Lin, Li, D. Huang and J. S. Liu. "On Optimality of Sliced Inverse Regression in High Dimensions", Annals of Statistics, (accepted)
Li, P. Ding, Qian Lin, D. Yang and J. S. Liu. Randomization-based inference for peer effects, Journal of the American Statistical Association 114, no. 528 (2019): 1651-1664,
Qian Lin, Z. Zhao and J. S. Liu. "Sparse Sliced Inverse Regression via Lasso." Journal of the American Statistical Association 114, no. 528 (2019): 1726-1739,
Qian Lin, Z. Zhao and J. S. Liu. "On Consistency and Sparsity of Sliced Inverse Regression in High Dimensions," Annals of Statistics Volume 46, Number 2 (2018), 580-610.
Neykov, Qian Lin and J. S. Liu. "Signed Support Recovery for Single Index Models in High Dimensions", Annals of Mathematical Sciences and Applications Vol. 1 No. 2 (2016) 379-426
Qian Lin, Y. Li and J. S. Liu. "Inverse Modeling: A strategy to cope with nonlinearity”, Handbook of Big Data Analytics, Springer; In Press, 2016. (Book Chapter) Mathematics:
Qian Lin and M. Wang. "Isogeny orbits in a family of abelian varieties", Acta Arithmetica 170(2015), 161-173
Roman Bezrukavnikov and Qian Lin. "Highest weight modules at the critical level and noncommutative Springer resolution", Algebraic Groups and Quantum Groups, Math. 565 (2012): 15-27
Qian Lin, Z. Liu and Y. Sheng. "Quadratic Deformations of Lie-Poisson Structures", Letters in Mathematical Physics3 (2008): 217-2

教学

招生如果您对我偏理论方向的问题感兴趣，我希望您选修过抽象代数，微分流形，实变函数，泛函分析等课程。如果您对我偏应用方向的问题感兴趣，我希望您选修过数学分析，高等代数，数理统计，数据结构等课程。