中级

李冠巡

个人信息简介

姓名:李冠巡 学历:博士 职称:讲师 电子邮箱:guanxun@bnu.edu.cn

理学博士,现任北京师范大学文理学院统计系讲师。

个人主页:www.guanxun.li


教育背景

2013.09-2017.06  北京航空航天大学,数学专业,理学学士

2017.09-2018.06   德州农工大学,数学专业,理学硕士

2018.09-2022.08   德州农工大学,数学专业,理学博士


工作经历

2022.09 - 2024.08 德州农工大学,博士后

2024.09 – 至今   北京师范大学文理学院统计系,讲师


教学工作

本科生: 统计学导论B(上机);非参数统计

研究生: 贝叶斯统计;非参数统计


研究方向

多重假设检验;贝叶斯计算;生物统计;大语言模型中的水印问题。


代表论文

1.Li, X., Li, G. and Zhang, X., 2025. A Likelihood Based Approach for Watermark Detection. International Conference on Artificial Intelligence and Statistics (AISTATS) 2025 (Co-first author).

2.Li, G. and Zhang, X., 2024. A Note on E-values and Multiple Testing. Biometrika.

3.Li, X., Li, G. and Zhang, X., 2024. Segmenting Watermarked Texts from Language Models. Conference on Neural Information Processing Systems (NeurIPS) 2024 (Co-first author).

4.Li, G. and Zhou, Q., 2024. Bayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis. Journal of Computational and Graphical Statistics, 33(1), pp.35-46.

5.Li, G., Lu, Y., Chen, J. and Zhang, X., 2023. Robust Differential Abundance Analysis of Microbiome Sequencing Data . Genes, 14(11), p.2000.

6.Yang, Y., Lin, Y.T., Li, G., Zhong, Y., Xu, Q. and Cai, J.J., 2023. Interpretable modeling of time-resolved single-cell gene–protein expression with CrossmodalNet. Briefings in Bioinformatics, 24(6), p.bbad342.

7.Yang, Y., Li, G., Zhong, Y., Xu, Q., Chen, B.J., Lin, Y.T., Chapkin, R.S. and Cai, J.J., 2023. Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networks. Nucleic Acids Research, p.gkad450.

8.Yang, Y., Li, G., Zhong, Y., Xu, Q., Lin, Y.T., Roman-Vicharra, C., Chapkin, R.S. and Cai, J.J., 2023. scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs. Cell Systems, 14(4), pp.302-311.

9.Xu, Q., Li, G., Osorio, D., Zhong, Y., Yang, Y., Lin, Y.T., Zhang, X. and Cai, J.J., 2022. scInTime: A Computational Method Leveraging Single-Cell Trajectory and Gene Regulatory Networks to Identify Master Regulators of Cellular Differentiation. Genes, 13(2), p.371.