一、个人基本情况

姓名：陈家清

性别：男

职称／职务：教授／学院副院长

学位／学历：博士／研究生

硕／博生导师：博导

研究方向：生物统计、高维数据统计、贝叶斯统计、数据科学及其应用

联系方式：jqchen2011@whut.edu.cn, jqchenwhut@163.com

二、教育背景与工作经历

（1）教育背景：

2009.04－2012.04　武汉理工大学，管理科学与工程，博士后

2003.06－2006.06　华中科技大学数学与统计学院，概率论与数理统计，博士

2000.09－2003.06　华中科技大学数学与统计学院，概率论与数理统计，硕士

（2）工作经历：

2024.06－至今　   武汉理工大学数学与统计学院，统计学系，教授，博士生导师

2016.09－2024.06　武汉理工大学理学院，统计学系，教授，博士生导师

2008.09－2016.09　武汉理工大学理学院，统计学系，副教授，硕士生导师

2006.06－2008.09　武汉理工大学理学院，统计学系，讲师

2012.02－2013.02　University　of　South　Florida公共卫生学院流行病与生物统计系访问学者

三、教学研究

1．主编出版《随机过程基础》（第二版）统计专业教材，武汉理工大学出版社，2022．

2．主编出版《应用随机过程》（第二版）研究生公共课教材，武汉理工大学出版社，2022．

3．主编出版《应用数理统计》研究生公共课教材，武汉理工大学出版社，2013．

四、科学研究

（1）科研项目：

曾主持国家自然科学基金面上项目、教育部人文社会科学研究规划基金项目、湖北省自然科学基金面上项目、湖北省自然科学基金（联合基金）重点项目、中国博士后基金面上项目、湖北省统计局重点科研项目、湖北隆中实验室基金重点项目、中国科学院国家重点实验室开放基金项目等以及十余项横向科研项目。

（2）近年主要学术论文：

[1] Zihao Yuan, Jiaqing Chen*, Han Qiu, Houxiang Wang, Yangxin Huang, Fuchun Lin. Co-activation pattern analysis based on hidden semi-markov model for brain spatiotemporal dynamics. IEEE transactions on medical imaging, 2026, 45(2):843-852.

[2] Yibo Long, Jiaqing Chen*, Xueqiang Ye, Yangxin Huang. Two‐part hidden semi‐markov mixed effects models for semi‐continuous longitudinal data. Statistics in Medicine, 2026, 45: e70476.

[3] Yunjing Wang, Jiaqing Chen*, Jiaxi Xie and Yangxin Huang. Bayesian weighted quantile joint model for longitudinal and semi-competing risks data. Journal of Statistical Computation and Simulation. 2026, 96(6):1390-1416.

[4] Xiaofan Wang, Jiaqing Chen*, Jinjing Wang, Yibo Long, Feng Gu, Yangxin Huang. Bayesian weighted composite quantile regression in varying-coefficient partially linear mixed-effects model with ordinal longitudinal data. Computational Statistics, 2026, 41:35.

[5] Jiaqing Chen, Fangyi Wan, HanQiu, and Zihao Yuan. Linear mixed effects double penalized Lp-quantile regression model for longitudinal data. Communications in Statistics - Theory and Methods, 2026, 55(5): 1640-1673.

[6] Jinjing Wang, Jiaqing Chen*, Feng Gu, Yibo Long, Xiaofan Wang, and Yangxin Huang. Bayesian weighted composite quantile regression for multivariate semi-continuous longitudinal data. Communications in Statistics -Theory and Methods, 2026, 55(4):1189-1215.

[7] Feng Gu, Jiaqing Chen*, Jinjing Wang, Yibo Long, Xiaofan Wang, Yangxin Huang. Bayesian expectile joint model with varying coefficient for longitudinal and semi-competing Risks Data. Statistics in Medicine, 2025, 41: e70219.

[8] Jiaxi Xie, Jiaqing Chen*, Yunjing Wang and Yangxin Huang. Bayesian double penalized quantile regression based on linear mixed effects model for longitudinal count data. Journal of Statistical Computation and Simulation. 2025, 95(15): 3175–3208.

[9] Mingyu Zhang, Jiaqing Chen*. SST-YOLOv5s: advancing real-time blood cell object detection through multi-headed attention mechanism. Signal, Image and Video Processing, 2025, 19(3): 219.

[10] Houxiang Wang#, Jiaqing Chen#, Zihao Yuan, Yangxin Huang, Fuchun Lin. NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis. Medical Image Analysis, 2024, 97(2024): 103290.

[11] Zihao Yuan, Jiaqing Chen*, Han Qiu, Houxiang Wang, Yangxin Huang. Adaptive sufficient sparse clustering by controlling false discovery. Statistics and Computing, 2024, 34(6): 193.

[12] Han Qiu, Jiaqing Chen*, Zihao Yuan. Quantile correlation‐based sufficient variable screening by controlling false discovery rate. Advanced Theory and Simulations, 2024, 7(5): 2301099.

[13] Houxiang Wang, Jiaqing Chen*, Zihao Yuan, Yangxin Huang, Fuchun Lin*. A novel method for sparse dynamic functional connectivity analysis from resting-state fMRI. Journal of Neuroscience Methods, 2024, 411 (2024): 110275.

[14] Jiaqing Chen, Yangxin Huang, Qing Wang. Semiparametric multivariate joint model for skewed-longitudinal and survival data: A Bayesian approach. Statistics in Medicine, 2023, 42: 4972-4989.

[15] Zihao Yuan, Jiaqing Chen*, Han Qiu, Yangxin Huang. Quantile adaptive sufficient variable screening by controlling false discovery. Entropy, 2023, 25(3): 524.

[16] Jiaqing Chen, Yangxin Huang, Nian-Sheng Tang. Bayesian change-point joint models for multivariate longitudinal and time-to-event data. Statistics in Biopharmaceutical Research, 2022, 14(2): 227-241.

[17] Yangxin Huang#, Jiaqing Chen#, Lan Xu, Nian-Sheng Tang. Bayesian joint modeling of multivariate longitudinal and survival data with an application to Diabetes Study. Frontiers in Big Data, 2022, 5: Article 812725.

[18] Yuxia Zhao, Hong Mei, Yangxin Huang, Jiaqing Chen*. Impairment of a NIK-SIX feedback axis results in dysregulation of intestinal immune homeostasis and promotes early-onset fatal spontaneous colitis. Iranian Journal of Immunology, 2022, 19(3): 263-277.

[19] Yangxin Huang, Nian-Sheng Tang, Jiaqing Chen. Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data. Journal of Applied Statistics, 2022, 49(12): 3063-3089.

[20] Yangxin Huang, Jiaqing Chen*, Lan Xu, Hanze Zhang, Yuanyuan Lu. Bayesian MLIRT-based joint models for multivariate longitudinal and survival data with multiple features. Journal of Medical Statistics and Informatics, 2021, 9: Article 4.

[21] Xiaosun Lu, Yangxin Huang, Jiaqing Chen, Rong Zhou, Shuli Yu, Ping Yin. Bayesian joint analysis of heterogeneous- and skewed-longitudinal data and a binary outcome, with application to AIDS clinical studies. Statistical Methods in Medical Research, 2018, 27(10): 2946–2963.

[22] Yangxin Huang, Xiaosun Lu, Jiaqing Chen, Juan Liang, Miriam Zangmeister. Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies. Lifetime Data Analysis, 2018, 24: 699–718.

[23] Yangxin Huang, Jiaqing Chen*, Huahai Qiu. Bayesian quantile regression for nonlinear mixed-effects joint models for longitudinal data in presence of mismeasured covariate errors. Journal of Biopharmaceutical Statistics, 2017, 27(5): 741–755.

[24] Yangxin Huang, Jiaqing Chen*, Ping Yin. Hierarchical mixture models for longitudinal immunologic data with heterogeneity, non-normality, and missingness. Statistical Methods in Medical Research, 2017，26(1): 223-247.

[25] Yangxin Huang, Jiaqing Chen*. Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features. Statistics in Medicine, 2016, 35: 5666-5685.

[26] Jiaqing Chen, Yangxin Huang. A Bayesian mixture of semiparametric mixed-effects joint models for skewed-longitudinal and time-to-event data. Statistics in Medicine, 2015，34(20): 2820-2843.

（3）学术兼职：

中国现场统计研究会理事；全国工业统计学教学研究会理事；中国商业统计学会理事；中国现场统计研究会资源与环境统计分会常务理事；中国现场统计研究会经济与金融统计分会常务理事；全国工业统计教学研究会数字经济与区块链技术协会常务理事；中国现场统计研究会大数据统计分会常务理事；中国现场统计研究会贝叶斯统计分会常务理事；中国现场统计研究会多元分析应用专业委员会常务理事；湖北省统计学会常务理事等。