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, Y. Lin & Y. Zhou (2024). Semi-supervised inference for block-wise missing data without imputation, Journal of Machine Learning Research. In press.

2. S. Song, Y. Lin & Y. Zhou (2023). A general M-estimation theory in semi-supervised framework, Journal of the American Statistical Association. In Press. https://doi.org/10.1080/01621459.2023.2169699.

3. L. Shao, S. Song & Y. Zhou (2023). Optimal subsampling for large sample quantile regression with massive data, Canadian Journal of Statistics, 51(2): 420-33.

4. 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): 549-71.

5. S. Song, Y. Lin & Y. Zhou (2021). Linear expectile regression under massive data, Fundamental Research, 1: 574-85.

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！