Welcome to Shanjun’s Personal Page!

个人信息

• 姓名：毛善骏
• 职称/职务：副教授，硕士生导师
• 办公室：湖南大学财院校区金融与统计学院大楼（Office Number）
• E-mail：shjmao@hnu.edu.cn
• 研究方向：Statistical Modeling and Computing, Computational Biology/Bioinformatics

英文版

个人简介

毛善骏，男，1993年9月生，湖南张家界人，香港中文大学统计学博士，现任湖南大学金融与统计学院统计与数据科学系副教授，系副主任。

教育背景

• 2017.8-2020.7 香港中文大学 统计系，博士 （导师 樊晓丹教授）
• 2014.9-2017.6 厦门大学 数学科学学院 概率统计系，硕士 （导师 周达教授）
• 2010.9-2014.6 南昌大学 理学院 数学系，学士

学术论文

(Note: ^*：通讯作者，^✝：共同一作)

1. Weidi Sun, Jiamin Cai, Yuping Yan, Zhijia Zhu, Dongchen Zhang, Shanjun Mao^*, Zilong Zhao^* (2025). Developing superselective homobivalent ligands differentiating membrane antigen density by exploring the spatial limit of the bivalency on cells. Analytical Chemistry, Accepted. (SCI 1 区 Top, 分析化学顶刊)
2. Tingting Jiang, Xingyu Liu, Wencan He, Hepei Li, Xiang Yan, Qian Yu^*, Shanjun Mao^* (2025). Development and validation of a small-sample machine learning model to predict 5-year overall survival in patients with hepatocellular carcinoma. BMC Cancer, 25(1), 1040. (SCI 2 区)
3. Shanjun Mao, Chenyang Zhang, Runjiu Chen, Shan Tang, Xiaodan Fan^*, Jie Hu^* (2025). Cell Lineage Tracing: methods, applications, and challenges. Quantitative Biology, 13 (4), e70006. (SCI, 中科协T3)
4. Shunqi Yang, Lingyi Hu, Pengzhou Chen, Xiangxiang Zeng, Shanjun Mao^* (2025). AJGM: Joint Learning of Heterogeneous Gene Networks with Adaptive Graphical Model. Bioinformatics, btaf096. (SCI 2 区, 中科协T1, 生物信息学顶刊)
5. Xinyue Wang, Kegao Yan, Yang Shi, Han Hu, Shanjun Mao^* (2025). The Nonlinear Impact of Economic Growth Pressure on Urban Land Green Utilization Efficiency—Empirical Research from China. Land, 14(4), 739. (SCI/SSCI 2 区)
6. Changqing Zhong, Shanjun Mao^*, Shan Tang, Pengfei Zheng, Jianqiang Peng (2025). Impact of COVID-19 on Door-to-Wire Time in ST-segment Elevation Myocardial Infarction Treatment: The Role of Digital Communication. BMC Cardiovascular Disorders, 25(1): 1-11. (SCI)
7. Shanjun Mao, Xiao Huang, Runjiu Chen, Chenyang Zhang, Yizhu Diao, Zongjin Li, Qingzhe Wang, Shan Tang^*, Shuixia Guo^* (2024). STW-MD: A Novel Spatio-Temporal Weighting and Multi-Step Decision Tree Method for Considering Spatial Heterogeneity in Brain Gene Expression Data. Briefings in Bioinformatics, 25(2). (SCI 1 区 Top, 中科协T1, 生物信息学顶刊)
8. Shan Tang, Shanjun Mao^*✝, Yangyang Chen, Falong Tan, Lihua Duan, Cong Pian, Xiangxiang Zeng (2023). LRBmat: A novel gut microbial interaction and individual heterogeneity inference method for colorectal cancer. Journal of Theoretical Biology, 571: 111538. (SCI, 中科协T2)
9. Jin Du, Chaojie Wang, Lijun Wang, Shanjun Mao, Bencong Zhu, Zheng Li, Xiaodan Fan^* (2023). Automatic block-wise genotype-phenotype association detection based on hidden Markov model. BMC Bioinformatics, 24: 138. (SCI, 中科协T2)
10. Shanjun Mao, Xiaodan Fan^*, Jie Hu^* (2021). Correlation for tree-shaped datasets and its Bayesian estimation. Computational Statistics & Data Analysis, 164, 107307. (SCI, 中科协T2)
11. Changqing Zhong, Shanjun Mao^*, Jieli Guang, Yi Zhang (2021). Application of the improved simple bedside method for emergency temporary pacemaker implantation suitable for primary hospitals. Scientific Reports, 11, 16850. (SCI)
12. Cong Pian, Shanjun Mao, Jiali Yang, Guangle Zhang, Jin Du, Suet Yi Leung,Yuanyuan Chen, Xiaodan Fan^* (2020). Discovering Cancer-related miRNAs from miRNA-target Interactions by Support Vector. Molecular Therapy - Nucleic Acids, 19, 1423-1433. (SCI)
13. Shanjun Mao, Da Zhou, Yiping Zhang, Zhihong Zhang^*, Jingjing Cao^* (2018). Weighted Patches Based Face Super-Resolution Via Adaboost. In Proceedings of the 2018 International Conference on Machine Learning and Cybernetics (ICMLC), 1, 234-239. (IEEE Xplore, EI)
14. Da Zhou, Shanjun Mao, Jing Cheng, Kaiyi Chen, Xiaofang Cao, Jie Hu^* (2018). A Bayesian Statistical Analysis of Stochastic Phenotypic Plasticity Model of Cancer Cells. Journal of Theoretical Biology, 454, 70-79. (SCI)
15. Bin Wu, Shanjun Mao, Jiazeng Wang, Da Zhou^* (2016). Control of Eepidemics vvia Ssocial Ppartnership Aadjustment. Physical Review E, 94 (6), 062314. (SCI)

研究项目

1. 国家自然科学基金青年项目，阿尔茨海默症大脑时空数据的网络分析方法研究，2025-2027，主持
2. 国家统计局优选项目，基于机器学习的地方政府债务风险预警体系研究，2025-2026，主持
3. 湖南省自然科学基金青年项目，时空基因调控网络的统计分析研究，2025-2027，主持
4. 湖南省教育厅优秀青年项目，基于高缺失多维度数据的基因动态调控网络重构的研究，2024-2026，主持
5. 长沙市自然科学基金项目，基因调控的时空因果效应识别的贝叶斯推断研究，2024-2025，主持

学术兼职

Briefings in Bioinformatics，Journal of Computational and Graphical Statistics等期刊审稿人。