教育经历：
2006.09--2011.07，博士，数学科学学院，北京大学，概率论与数理统计
Ph.D., School of Mathematical Sciences, Peking University.
Major in Probability and Statistics
2002.09--2006.07，学士，数学系，南京大学，数学与应用数学
B.S., Department of Mathematics, Nanjing University.
Major in Mathematics and Applied Mathematics
工作经历：
2019.08—至今，厦门大学数学科学学院，副教授
School of Mathematical Sciences, Xiamen University, Associate Professor
2020.01—2020.11，宾夕法尼亚大学医学院，访问助理教
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Visiting Assistant Professor
2011.09—2019.08，厦门大学数学科学学院，助理教授
School of Mathematical Sciences, Xiamen University, Assistant Professor
研究方向：
1. 数理统计：包括生存分析，完全数据的统计推断，高维统计与结构识别，分布式统计推断，时间序列与预测等。
2. 应用统计：包括情绪相关问题中的脑电脑磁数据、临床医学与遗传生物学数据的统计建模分析、教育与经济相关指数构建评价、新能源与电力系统中的预测与评价分析、足球篮球等体育运动中的数据分析。围绕不同领域的实际问题，开展统计推断、预测分析与规律挖掘。
3. 数学教育：益智游戏中的数学原理。
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获奖：
厦门大学“厦门航空奖教金”（2018年度）
厦门大学第十一届教学技能比赛（理科组）二等奖
主持项目：
1. 福建省自然科学基金计划面上项目（Natural Science Foundation Program of Fujian Province, 2026J001041）2026.5--2029.4，10万元，不完全数据的分布式统计推断，主持
2. 中央高校基本业务费 (Fundamental Research Funds for the Central Universities, 20720190067)，2019.1--2021.12，23万元，生存分析模型运用于流行病学数据以及电子病历的相关研究，主持
3. 国家自然科学基金青年项目 (National Natural Sciences Foundation of China,11701484)，2018.1--2020.12，22万元，平均经验似然方法在右删失数据中的统计推断，主持
4. 国家自然科学基金面上项目(National Natural Sciences Foundation of China, 11471272)，2015.1—2018.12，60万元，复杂多元数据的半参数统计推断，参与
论文：
1. Wei Liang; Haicheng Huang; Hongsheng Dai; Yinghui Wei. Robust inference for the unification of confidence intervals in meta-analysis. Journal of Nonparametric Statistics. 2026.
2. Zheng Fang; Wei Liang; Xinyue Weng; Dongding Zhang; Junjie Zhou. An interpretable unsupervised ranking system for auditing subjective ranking decisions. AIMS Mathematics. 2026.
3. Haicheng Huang; Wei Liang; Hongsheng Dai; Murray Pollock. A Markovian model for football penalty shootout. Journal of Applied Statistics. 2026.
4. Zheng Fang; Jingxuan Xu; Kang Fan; Shucheng Feng; Haoran Qiu; Wei Liang. Deep-Learning-Based Broadband Lightsource X-ray Absorption Spectroscopy Using Photon-Counting Detector. Analytical Chemistry. 2026.
5. Zheng Fang; Yuao Gao; Yuheng Cai; Wei Liang. A retention-based method for explosive classification using broadband lightsource X-ray absorption spectroscopy (BL-XAS). Measurement. 2026.
6. Libing Zhu; Qiuwen Wang; Chenglong Lin; Lin Tang; Bin Yu; Jingfang Chen; Xingqiang Gao; Wei Liang; Jianping Liu. Alterations in specific gut microbiota are associated with Dermatophagoides farinae sensitization in allergic rhinitis: an observational cross-sectional study. European Journal of Integrative Medicine. 2026.
7. Huijuan Hu; Tianhua Tan; Yerong Liu; Wei Liang; Wei Zhang; Jinsong Zhang; Ju Cui; Jinghai Song; Xuefei Li. Leveraging deep learning to discover interpretable cellular spatial biomarkers for prognostic predictions based on hepatocellular carcinoma histology. The Journal of Pathology: Clinical Research. 2025.
8. Zheng Fang; Shiliang Song; Hanbo Wang; Huangping Yan; Mingke Lu; Siyuan Chen; Shunren Li; Wei Liang. Mineral classification with X-ray absorption spectroscopy: A deep learning-based approach. Minerals Engineering. 2024.
9. Xiaoying Wang; Haicheng Huang; Ming Lu; Yuchao Cui; Rongyu Huang; Xiangfeng Wang; Ran Fu; Wei Liang; Xinhao Ouyang. Expanding crop adaptability to increase planting area: a promising strategy for enhancing agricultural production. Seed Biology. 2023.
10. Wei Liang. Random weighting estimation for survival function under right censorship. Frontiers of Mathematics in China. 2022.
11. Jie Hu, Wei Liang, Hongsheng Dai and Yanchun Bao. Efficient Empirical Likelihood Inference for Recovery Rate of COVID19 under Double-Censoring. Submitted to Journal of Statistical Planning and Inference. 2022.
12. Wei Liang, Hongsheng Dai, MariaLuisa Restaino. Truncation model for the analysis of under-reporting probability in COVID-19 pandemic. Submitted to Journal of Nonparametric Statistics. 2022.
13. Wei Liang; Hongsheng Dai. Empirical likelihood based on synthetic right censored data. Statistics & Probability Letters. 2021.
14. Libing Zhu; Yuning Wu; Chenglong Lin; Lin Tang; Bin Yu; Wenrong Wan; Jingxiu Xuan; Yanling Du; Zhangran Chen; Wei Liang. Dynamic Microbial Shifts and Signatures of Long-Term Remission in Allergic Rhinitis After an Herbal Formula Treatment. Frontiers in Immunology. 2021
15. Wei Liang, Hongsheng Dai. Empirical likelihood based on synthetic right censored data. Statistics and Probability Letters. 2020.
16. Wei Liang, Yuxiao Yang, Yusi Fang, Zhongying Zhao, Jie Hu. Bayesian Detection of Abnormal ADS in Mutant Caenorhabditis elegans Embryos. Journal of Computational Biology. 2019.
17. Wei Liang, Hongsheng Dai, Shuyuan He. Mean Empirical Likelihood. Computational Statistics & Data Analysis. 2019.
18. Wei Liang, Shuyuan He, Junshan Shen. Likelihood Ratio Inference for Mean Residual Life of Length-biased Random Variable, Acta Mathematicae Applicatae Sinica, English Series. 2016, Volume 32, Issue 2, 269–282.
19. ShuYuan He, Wei Liang, Junshan Shen, Grace Yang. Empirical Likelihood for Right Censored Lifetime Data, Journal of the American Statistical Association. 2016, Vol 111, No 514, 646-655.
20. Guoqing Zhao, Wei Liang, Shuyuan He. Empirical Entropy for Right Censored Data, Acta Mathematicae Applicatae Sinica-English Series. 2015, Vol 31, No 2, 395–404.
21. ShuYuan He, Wei Liang. Empirical likelihood for right censored data with covariables, Science China-Mathematics. 2014, Vol 57, No 6, 1275–1286.
22. Jinyu Li, Wei Liang, Shuyuan He. Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance, Journal of Applied Mathematics. 2014, Vol 1, 1-10.
23. Junshan Shen, Wei Liang, Shuyuan He. Likelihood ratio inference for mean residual life, Statistical Papers. 2012, No 53, 401–408.
24. Jinyu Li, Wei Liang, Shuyuan He. Empirical likelihood for AR-ARCH models based on LAD estimation, Acta Mathemativa Sinica English Series. 2012, Vol. 28, No 2, 371–382.
25. Jinyu Li, Wei Liang, Shuyuan He. Empirical likelihood for LAD estimators in infinite variance ARMA models, Statistics & Probability Letters. 2011, Vol 81, 212-219.
26. Jinyu Li, Wei Liang, Shuyuan He. Empirical likelihood for the smoothed LAD estimator in infinite variance autoregressive models, Statistics & Probability Letters. 2010, No 80, 1412-1430.
