半监督学习、统计机器学习

2024.12-至今 同济大学数学科学学院，特聘研究员

2024.2-2024.12 同济大学数学科学学院，助理教授

2020.9-2023.12 香港中文大学统计学系，博士后研究员

[1] S. Song, T. Wang, G. Shen, Y. Lin & J. Huang (2025+). Wasserstein generative regression, Journal of the Royal Statistical Society, Series B, in press.

[2] S. Song, Y. Lin & Y. Zhou (2024). Semi-supervised inference for block-wise missing data without imputation, Journal of Machine Learning Research, 25(99): 1-36. 

 [3] S. Song, Y. Lin & Y. Zhou (2023). A general M-estimation theory in semi-supervised framework, Journal of the American Statistical Association,119(546): 1065-1075. 

[4] L. Shao, S. Song & Y. Zhou (2023). Optimal subsampling for large sample quantile regression with massive data, Canadian Journal of Statistics, 51(2): 420-433. 

[5] P. Liu, S. Song & Y. Zhou (2022). Semiparametric varying-coefficient additive hazard model for clustered failure time Data with frailty effects, Canadian Journal of Statistics, 50(2): 549-571. 

[6] S. Song, Y. Lin & Y. Zhou (2021). Linear expectile regression under massive data, Fundamental Research, 1: 574-585.

2024年入选国家海外青年高层次人才计划，上海市海外青年高层次人才计划，主持国家自然科学青年基金、上海市启明星项目（扬帆专项）。

欢迎对半监督学习、深度学习理论感兴趣，打算硕博连读、直博的学生联系我songss@tongji.edu.cn！