个人信息Personal Information
出生日期：1987-05-29
入职时间：2015-08-28
学历：博士研究生毕业
办公地点：交大犀浦校区第三号教学楼30439室
性别：男
在职信息：在岗
主要任职：Associate Professor
其他任职：Supervisor of graduate students
毕业院校：新加坡国立大学
学科：数学. 统计学
所在单位：数学学院
报考该导师研究生的方式
欢迎你报考黄磊老师的研究生，报考有以下方式：
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3、参加全国硕士研究生统一招生考试报考黄磊老师招收的专业和方向，进入复试后提交导师意向时选择黄磊老师。
4、如果你有兴趣攻读黄磊老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
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大数据统计与高维统计，时间序列与金融计量，医学与生物统计
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主持(主研)科研项目
2016年度国家自然科学基金青年项目(主持), 201701-201912
2017年度教育部人文社会科学西部基金青年项目(主研), 201801-202012
2017年度国家自然科学基金面上项目(主研), 201801-202112
2019年度四川省留学回国人员科技活动择优资助项目(主持)，201910-202010
2020年中央高校基本科研业务费-理科专题研究项目(主持)，202101-202212
2020年度国家自然科学基金重点项目(主研)，202101-202512
2022年四川省科技厅青年项目(主持)，202201-202312
2023年四川省高校共建与发展专项资金前沿科技培育项目(主持), 202301-202412
2024年中央高校基本科研业务费-交叉学科研究项目(主持)，202401-202612
2024年中央引导地方科技发展项目(主持)， 202409-202508
部分发表论文
Lei Huang, Yingcun Xia* and Xu Qin (2016) . Estimation of semivarying coefficient time series models with ARMA errors. Annals of Statistics, 44(4): 1618-1660.
Chenchong Shuang, Jiaying Tang*, Jianbo Xiao and Lei Huang (2017). Uncertainty distribution of some composite uncertain variables. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(4): 545-555.
Haitao Tian, Lei Huang*, Ching-Yu Cheng and Liang Zhang (2018). Regression models with ordered multiple categorical predictors. Journal of Statistical Computation and Simulation, 88(16): 3164-3178.
Jiayin Tang, Chongshuang Chen* and Lei Huang (2019). Reliability assessment models for dependent competing failure processes considering correlations between random shocks and degradations. Quality and Reliability Engineering International, 35: 179–191.
Lei Huang, Hui Jiang* and Huixia Wang (2019). A novel partial-linear single-index model for time series data. Computational Statistics and Data Analysis, 134: 110-122.
Lei Huang* and Jialiang Li(2019). Weighted volume under the three-way receiver operating characteristic surface. Statistical Methods in Medical Research, 28(12): 3627-3648.
Hongfan Zhang, Lei Huang* and Lianlian Liu (2020). On nootstrap consistency on MAVE for single index models. Computational Statistics and Data Analysis, 141: 28-39.
Lei Huang, Weiqiang Hang* and Yue Chao (2020). High-dimensional regression with ordered multiple categorical predictors. Statistics in Medicine, 39: 294-309.
Chenggang Li, Qin Liu* and Lei Huang (2021). Credit risk management of scientifc and technological enterprises based on text mining. Enterprise Information Systems, 15(6): 851–867.
Chenggang Li, Xintong Zuo* and Lei Huang (2021). The influence of external factors on the development of China's banking industry: a system dynamics modelling approach. Wireless Networks, 27: 4353-4362.
晁越，谭雨昕，黄磊*等（2021）. 关于含顺序类别解释变量的Logistic回归模型研究. 统计与信息论坛，36(3): 20-31.
Yue Chao, XueJun Ma, Yaguang Li and Lei Huang* (2022). A penalized estimation for the Cox model with ordinal multinomial covariates. Journal of Statistical Computation and Simulation, 92(6): 1194-1223.
Hui Jiang, Lei Huang and Yingcun Xia* (2022). Nonparametric regression with right‐censored covariate via conditional density function. Statistics in Medicine, 41(11): 2025-2051.
Gaorong Li, Lei Huang, Jin Yang, Wenyang Zhang* (2022). A synthetic regression model for large portfolio allocation. Journal of Business & Economic Statistics, 40(4): 1665-1677.
杨赫祎，冯玉，李天俊，卢施岐，黄磊（2023）. 基于特征筛选与机器学习的医疗保险报销比例预测研究. 中国循证医学杂志，23(4): 373-378.
Zhifei Zhang, Mu Yue, Lei Huang* et al. (2023). Large portfolio allocation based on high-dimensional regression and Kendall’s Tau. Communications in Statistics-Simulation and Computation, online, https://doi.org/10.1080/03610918.2023.2245176
Yunlin Wu, Lei Huang*, Hui Jiang (2023). Optimization of large portfolio allocation for new-energy stocks: Evidence from China. Energy, 285, 129456.
Yue Chao, Lei Huang, Xuejun Ma* and Jiajun Sun (2024). Optimal subsampling for modal regression in massive data. Metrika, 87: 379-409.
Lei Huang,Li Zhang and Yichuan Zhao*(2024). Jackknife empirical likelihood for the lower-mean ratio. Journal of Nonparametric Statistics, 36(2), 287-312.
Haitao Tian, Lei Huang, Shouri Hu* and Wangqi Wu (2024). A modifed machine learning algorithm for multi‑collinearity environmental data. Environmental and Ecological Statistics, 2024, online, https://doi.org/10.1007/s10651-024-00634-6.
Haitao Tian, Lei Huang*, Ke Zhang(2024). Prediction of petrophysical static rock type through nonlinear dimensionality reduction and mutual information. Earth Sci Inform 18, 67 (2025). https://doi.org/10.1007/s12145-024-01552-8.
备注：*通讯作者
出版教材
王沁，黄磊. 《时间序列分析》，科学出版社，2023
发明专利
发明专利：黄磊，韩科. 大气污染数据高维回归建模的秩序类别变量冗余去除方法，专利号：ZL202410028682.0，专利授权日：2024年1月19日