（Student menteeunderlined, Corresponding Author *, Co-first authors #）

1. Zhenguo Gao*,Lonqin Lai*, andChaohua Li.Parametric Shifts Detection for Volatile Data.Under Review.
   

2. Zhenguo Gao*,Lonqin Lai*, andChaohua Li. A Bayesian Detection Approach forVolatilityChange in Dynamic Systems. Under Review.
   

3. Zhenguo Gao,Lonqin Lai,Junlin Ren,and Xiaoning Kang*. Transfer learning for high-dimensional sparse linear discriminant analysis.Under Review.

4. Zhenguo Gao,Pan Liu,Lonqin Lai, Chunshi Li*, and Xiaoning Kang. Bayesian Transfer Learning for Quantitative and Qualitative Data with Application to the Diagnosis of PFBC Disease.Under Review.

5. Zhenguo Gao,Xiaoxun Li,Yihao Bu, and Xiaoning Kang*. A New Anomaly Detection via the Multiple Instance Learning for Sequence Data with Application to the Credit Card Delinquency Risk Control.Under Review.

6. 于宝平; 杭颖;高振国; 吴珊珊. 异常检测方法在食品安全风险预警中的应用研究.Under Review.

7. Wenchang Duan,Zhenguo Gao, Yaoliang Yu, Yi Shi*.MAVEN-T: Breaking the Imitation Ceiling in Trajectory Prediction with Reinforced Distillation. Under Review.

8. Zhenguo Gao,Yan Li,Longqin Lai*, and Rui Miao*. An Effective Variance Change Detection Method for Data with Constantly Changing Mean Function,STAT,DIO:10.1002/sta4.701142025，2025.

9. W. Duan,Zhenguo Gao*,J. Heand J. Xian. Bayesian Critique-Tune-Based Reinforcement Learning With Adaptive Pressure for Multi-Intersection Traffic Signal Control,IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 10, pp. 14968-14983, DOI: 10.1109/TITS.2025.3581858, 2025.

10. Xiaoning Kang,Zhenguo Gao*,Xi Liang, Xinwei Deng.Weighted average ensemble for Cholesky-based covariance matrix estimation.Statistical Theory and Related Fields,9(2): 149–167. DOI: 10.1080/24754269.2025.2484979, 2025.

11. Defu Lian,Zhenguo Gao*,Xia Song, Yecheng Li, Qi Liu, Enhong Chen. Training Recommenders over Large Item Corpus with Importance Sampling,IEEE Transactions on Knowledge and Data Engineering, 36(12 ): 9433-9447, DOI: 10.1109/TKDE.2023.3344657, 2024.

12. 高振国, 杨韻*，张迅文，施垣辰。基于累积效应指标的食品安全风险预警模型算法和应用,质量与认证,第2期81-84, DOI: 10.16691/j.cnki.10-1214/t.2024.02.018, 2024.

13. Zhenguo Gao;Xinye Wang; Xiaoning Kang*. Ensemble LDA via the Modified Cholesky Decomposition, Computational Statistics and Data Analysis, 188(107823),DOI: 10.1016/j.csda.2023.107823, 2023.

14. Zhenguo Gao*,Pang Du, Ran Jin, John Robertson. Surface temperature monitoring in liver procurement via functional variance change-point analysis,Annals of applied statistics,14(1): 143-159, DOI:10.1214/19-aoas1297, 2020.

15. Zhenguo Gao,Zuofeng Shang, Pang Du*, John Robertson. Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement,Journal of the American Statistical Association,114(526): 773-781, DOI: 10.1080/01621459.2018.1442341, 2019.

PhD：

2021级：赖隆钦;

Master:

2019级：陈妍，王科臻，张诗韵，章天爱（优秀），周扬；

2020级：宋夏（优秀），徐仁祥，李潇勋，吴双，曹旭，王源楷；

2021级：李达熙，李琰，梁羲，刘盼，任俊霖（优秀）；

2022级：陈智浩，凌瑶，王新烨，杨承翰，赵一钦；

2023级：杨逸飞，李超华；

2024级：胡启萌，潘欣怡，朱畅，滕若萱；

2025 级：周育阳，高嘉毅，苏甫涛；李漫青；

Bachelor：

2022届：杨承翰，王新烨，李超华，李泽庚，贾雨菡；

2023届：常方圆，陈轩（优秀），刘铮源，施垣辰；

2024届：韩圣铱（优秀），钱莘芪，尤昊辰，赵君；

双学位：陈滢滢-安泰（校级优秀），傅亦婷-安泰，杨光-安泰，李慕寒-机动，杨晨昊-机动，

马志强-电院，叶与时-电院。

2025届：杨骐嘉，张世博（校级优秀）；

双学位：陈楚-安泰，庞博-安泰，宋鹏翼-船建，周宏基-船建，张佳旭-船建，毛桢栩-机动，

冯嘉宁-机动，赵学友-机动。

2026 届：连丹-强基，石博宏-统计，孙海翔-强基，姚远-强基，张宸硕-强基；

双学位：钱天孝-安泰，刘炜珈-安泰，江叡恒-安泰，刘京-安泰