曾珍，经济学博士，毕业于暨南大学，目前担任讲师。曾在美国加州大学河滨分校进行博士后研究。她主讲过本科生课程《微积分》和《概率论》，以及研究生课程《高等数理统计》等。

目前，曾珍的研究方向主要集中在大数据、参数回归模型和稳健估计等领域。她已在相关领域发表了多篇学术论文：

[1] Zhen Zeng, Weixin Yao*, Divide and conquer for generalized approximately expectile regression[J]. Journal of Statistical Planning and Inference.

[2] Zhen Zeng, Weixin Yao*, Pursuing homogeneity and sparsity in simultaneous quantile regression[J]. Journal of Computational and Graphical Statistics, 2025, DOI:10.1080/10618600.2025.2460600.

[3] Hongchang Hu, Mingqiu Liu, Zhen Zeng* , Penalized Lq-likelihood estimator and its influence function in generalized linear models[J]. Metrika, 2024, 88:1-18.

[4] Zhen Zeng, Feng Xu*, Huber-Dutter estimation of linear models with dependent errors[J]. Communications in Statistics-Theory and Methods, 2024, 53(23): 8441-8455.

[5] Zhen Zeng, Lin Cong, Xiangdong Liu*, Random weighting method for M-test in linear model with dependent errors[J]. Communications in Statistics-Theory and Methods, 2024, 53(4): 1381-1401.

[6] Feng Xu, Zhen Zeng* (通讯作者), An improved result in almost sure local central limit theorem for the partial sums[J]. Proceedings-Mathematical Sciences, 2022, 132(1): 14.

[7] Hongchang Hu*, Zhen Zeng, Penalized Lq-likelihood estimators and variable selection in linear models[J]. Communications in Statistics-Theory and Methods, 2022, 51(17): 5957-5970.

[8] Zhen Zeng, Hongchang Hu*, Weak linear representation of M-estimation in GLMs with dependent errors[J]. Stochastics and Dynamics, 2017, 17(5): 1750034.

[9] 胡宏昌*,曾珍,相依误差下GLMs中M估计的Bahadur表示[J]. 数学学报, 2017, 60(6): 16.

[10]Zhen Zeng, Xiangdong Liu *, A difference-based approach in the partially linear model with dependent errors[J]. Journal of Inequalities and Applications, 2018, 2018:1-16.