余骅真，女，南京信息工程大学讲师。2018年于武汉大学数学与统计学院获理学学士学位，2024年于浙江大学数学科学学院获理学博士学位，专业为概率论与数理统计，导师为张立新教授。研究方向为生存数据下的半参数模型分析，包括相依删失数据分析、区间删失数据分析、可识别性模型、极值理论等。现主持国家自然科学基金青年项目1项。 主讲课程包括《线性代数》、《数据挖掘》、《数据挖掘实践》等。

发表论文：

1.Huazhen Yu, Lixin Zhang. On the maximum penalized full likelihood approach for Cox model with extreme value for heavily censored survival data. Statistics & Probability Letters 201 (2023): 109880.

2.Huazhen Yu, Rui Zhang, Lixin Zhang. Copula-based analysis of dependent current status data with semiparametric linear transformation model. Lifetime Data Analysis 30.4 (2024): 742-775.

3.Huazhen Yu, Lixin Zhang. Copula-based semiparametric nonnormal transformed linear model for survival data with dependent censoring. Journal of Statistical Planning and Inference 240 (2026): 106296.

4.Huazhen Yu, Rui Zhang, Lixin Zhang.  Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data, Statistics in Medicine 45, no. 15-17 (2026): e70647.

5.Rui Zhang, Xinle Cao, Huazhen Yu, Jian Liu, Youwen Zhu. Adversarial Adversarial Detection for Pre-trained Classifiers via Lipschitz-Margin Analysis with Certification, NDSS 2027 (CCF-A, Accepted)