秦 磊 教 授



电话: 010-64491146 邮箱:qinlei@uibe.edu.cn

地址:北京市朝阳区惠新东街10号对外经济贸易大学诚信楼817A

对外经济贸易大学统计学院教授,博士生导师,国家社科基金重大项目首席专家,研究方向是数据挖掘、健康大数据和数据要素。先后在《统计研究》、《中国科学:数学》、《数量经济技术经济研究》、《数理统计与管理》、《中国管理科学》、《中国卫生统计》、《系统工程理论与实践》、《Journal of Statistical Planning and Inference》、《Annals of Operations Research》、《Journal of Health Communication》、《Journal of Medical Internet Research》、《JMIR Public Health and Surveillance》、《JMIR Medical Informatics》、《Radiotherapy and Oncology》等期刊发表50余篇论文,1篇入选ESI1%高被引论文。出版译著《智能大数据SMART准则:数据分析方法、案例和行动纲领》《大数据时代营销人的变革:预测营销》。主持国家自然科学基金、国家社会科学基金、北京市自然科学基金、国家统计局重点项目等多项课题。担任商务部国家服务贸易统计专家组成员、全国研究生教育评估专家库专家等。入选对外经济贸易大学惠园优秀青年学者和杰出青年学者。

一、工作经历

2014.09-2016.12 对外经济贸易大学统计学院,讲师

2014.11至今 对外经济贸易大学统计学院,硕士生导师

2016.12-2021.12 对外经济贸易大学统计学院,副教授

2018.11至今 对外经济贸易大学统计学院,博士生导师

2021.12至今 对外经济贸易大学统计学院,教授

二、统计学论文

[1] 谢邦昌, 秦磊. L1L2规则化趋势滤波的稳健估计[J]. 商业经济与管理, 2013(8): 84-97.

[2] 秦磊, 马景义, 谢邦昌. 含有自适应筛选系数的广义经验模态分解方法[J]. 数理统计与管理, 2013, 32(6): 1002-1012.

[3] 秦磊, 谢邦昌. L1L2规则化趋势滤波的稳健集成方法[J]. 统计研究, 2013, 30(11): 99-102.

[4] 秦磊, 谢邦昌. Lq规则化趋势滤波[J]. 数量经济技术经济研究, 2014(5): 151-161.

[5] 陈晓毅, 秦磊.基于经验模态分解和广义可加模型的双变量频率结构影响研究[J]. 统计与决策, 2015 (2): 26-29.

[6] 秦磊, 谢邦昌. L1L2分位数趋势滤波及其集成方法[J]. 数理统计与管理, 2015, 34(3):442-451.

[7] 秦磊, 谢邦昌. Logistic回归的ArctanLASSO惩罚似然估计及应用[J]. 数量经济技术经济研究, 2015(6): 135-146.

[8] 苏治, 秦磊, 方彤. 含有图结构约束的稀疏最小方差资产组合模型[J]. 中国管理科学, 2015, 23(9): 65-70.

[9] 秦磊, 谢邦昌. 谷歌流感趋势的成功与失误[J]. 统计研究, 2016, 33(2): 107-110.

[10] 苏治, 方彤, 秦磊. 一种基于规则化方法的最优稀疏指数追踪模型设计[J]. 数量经济技术经济研究, 2016(4): 145-160.

[11] Qin L, Ma S, Lin J C, Shia B C. Lasso regression based on empirical mode decomposition[J]. Communications in Statistics-Simulation and Computation, 2016, 45(4): 1281-1294.

[12] 秦磊, 杨晶, 谢邦昌. 基于ArctanLASSO的参数估计和变量选取[J]. 中国科学: 数学, 2016, 46(6): 853-866.

[13] 秦磊, 熊巍, 田茂再. 大数据下Leverage重要性抽样方法的稳健改进[J]. 统计研究, 2016, 33(8): 101-105.

[14] 秦磊, 夏传信, 施建军. 异质性数据下广义线性模型的Maximin似然比估计及应用[J]. 统计研究, 2018, 35(6): 109-116.

[15] 秦磊, 郁静, 孙强. 混频时间序列的潜在因子分析及其应用[J]. 统计研究, 2019, 36(9): 104-114.

[16] 秦磊, 王奕丹, 苏治. 大规模数据下基于充分降维的Leverage重要性抽样方法[J]. 统计研究, 2020, 37(3): 114-128

[17] 叶玲珑, 秦磊, 谢邦昌, 朱建平. 老年人认知功能的异质化发展轨迹及其影响因素分析[J]. 中国卫生统计, 2021, 38(2): 183-187.

[18] 秦磊, 叶玲珑, 谢邦昌. 广义可加模型的拟最优样本选择方法[J]. 统计与信息论坛, 2022, 37(10): 16-24.

[19] 孙强, 陈阳, 张晓梅, 秦磊*. 新冠肺炎疫情背景下有限医疗物资在民众和医院之间的优化配置研究[J]. 统计研究, 2022, 39(11): 102-116.

[20] 刘程程, 宋鹏, 秦磊. 矩阵时间序列的减秩自回归模型及其应用[J]. 系统工程理论与实践, 2023, 43(2):524-536.

[21] Zhu Y, Wang Y, Qin L, Zhang B, Shia BC, Chen M. Naïve Bayes classifier based on reliability measurement for datasets with noisy labels[J]. Annals of Operations Research, 2023, https://doi.org/10.1007/s10479-023-05671-1.

[22] Wang Y, Zhu Y, Sun Q, Qin L*. Adaptively robust high-dimensional matrix factor analysis under Huber loss function[J]. Journal of Statistical Planning and Inference, 2024, 231.

[23] 陈阳, 张晓梅, 朱映秋, 秦磊*. 矩阵值时间序列自回归模型的稳健估计[J]. 应用数学学报, 2024.

[24] 张晓梅, 刘程程, 谢邦昌, 秦磊*. 矩阵值时间序列的时空滞后回归模型及应用[J]. 应用数学学报, 2024.

三、健康大数据及交叉领域论文

[1] 李扬, 秦磊, 谢邦昌. 水到渠成——医疗大数据[J]. 中国统计, 2017 (6): 10-11.

[2] 李扬, 秦磊,谢邦昌. 中国人的运动健康大数据[J]. 中国统计, 2017 (7): 14-15.

[3] Qin L, Kao YW, Lin YL, et al. Recurrent aphthous stomatitis may be a precursor or risk factor for specific cancers: A casecontrol frequencymatched study[J]. Cancer Medicine, 2018, 7(8): 4104-4114.

[4] Qin L, Kao YW, Lin YL, et al. Combination of recurrent oral aphthae and dry eye syndrome may constitute an independent risk factor for oral cavity cancer in elderly women[J]. Cancer Management and Research, 2018(10): 3273–3281.

[5] Qin L, Chen TM, Kao YW, et al. Predicting 90-Day Mortality in Locoregionally Advanced Head and Neck Squamous Cell Carcinoma after Curative Surgery[J]. Cancers, 2018, 10(10):392.

[6] Chang WW, Hsiao PK, Qin L, et al. Treatment outcomes for unresectable intrahepatic cholangiocarcinoma: Nationwide, population-based, cohort study based on propensity score matching with the Mahalanobis metric[J]. Radiotherapy and Oncology. 2018(11): 284-292.

[7] Zeng Y L, Qin L, Wei W J, et al. Intestinal microbiota signature related to HBeAg seroconversion after oral antiviral therapy[C]. Journal of Hepatology, 2019, 70: E513-E515.

[8] Hsiao Y, Qin L, Lin Y. Do Unsolicited Bank Credit Ratings Matter to Bank Leverage Decision? Evidence from Asian Countries[M]. Advances in Pacific Basin Business, Economics and Finance, Emerald Publishing Limited, 2019(7): 231-253.

[9] Yu JM, Hsieh MC, Qin L, et al. Metformin reduces radiation-induced cardiac toxicity risk in patients having breast cancer[J]. American Journal of Cancer Research. 2019, 9(5): 1017-1026.

[10] Xia C X, Kao Y W, Qin L, et al. Cancer risk in chronic rhinosinusitis: a propensity score matched case-control cohort study[J]. American Journal of Translational Research, 2019, 11(11): 7146-7156.

[11] Shia B C, Qin L(Joint first authors), Lin K C, et al. Age comorbidity scores as risk factors for 90-day mortality in patients with a pancreatic head adenocarcinoma receiving a pancreaticoduodenectomy: A National Population-Based Study[J]. Cancer Medicine, 2020, 9:562-574.

[12] Shia BC,Qin L(Joint first authors), Lin KC, et al. Outcomes for Elderly Patients Aged 70 to 80 Years or Older with Locally Advanced Oral Cavity Squamous Cell Carcinoma: A Propensity Score–Matched, Nationwide, Oldest Old Patient–Based Cohort Study[J]. Cancers, 2020, 12: 258.

[13] Qin L, Sun Q, Wang Y, et al. Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index[J]. International Journal of Environmental Research and Public Health, 2020, 17(7): 2365. (ESI1%高被引论文)

[14] Zhang J, Yen Y C, Qin L, et al. Outcomes of Adjuvant Oral versus Intravenous Fluoropyrimidines for High-Risk Stage II or Stage III Colon Adenocarcinoma: A Propensity Score–Matched, Nationwide, Population-Based Cohort Study[J]. Journal of Cancer, 2020, 11(14): 4157-4165.

[15] Zhang J, Qin L, Chen H M, et al. Overall survival, locoregional recurrence, and distant metastasis of definitive concurrent chemoradiotherapy for cervical squamous cell carcinoma and adenocarcinoma: before and after propensity score matching analysis of a cohort study[J]. American Journal of Cancer Research, 2020, 10(6): 1808-1820.

[16] Zhang J, Qin L, Chen H M, et al. Outcome patterns of cervical adenocarcinoma and squamous cell carcinoma following curative surgery: before and after propensity score matching analysis of a cohort study[J]. American Journal of Cancer Research, 2020, 10(6): 1793-1807.

[17] Zhang J Q, Lu C Y, Qin L, et al. Outcome of post-mastectomy radiotherapy after primary systemic treatment in patients with different clinical tumor and nodal stages of breast cancer: a cohort study[J]. American Journal of Cancer Research, 2020, 10(7): 2185-2198.

[18] Liu W C, Liu H E, Kao Y W, Qin L, et al. Definitive radiotherapy or surgery for early oral squamous cell carcinoma in old and very old patients: A propensity-score-matched, nationwide, population-based cohort study[J]. Radiotherapy and Oncology, 2020, 151: 214-221.

[19] Zhang J, Lu C Y, Qin L, et al. Breast-conserving surgery with or without irradiation in women with invasive ductal carcinoma of the breast receiving preoperative systemic therapy: A cohort study[J]. The Breast, 2020, 54: 139-147.

[20] Qin L, Wang Y, Sun Q, et al. Analysis of the COVID-19 Epidemic Transmission Network in Mainland China: K-Core Decomposition Study[J]. JMIR Public Health and Surveillance, 2020, 6(4): e24291.

[21] Liu WC, Liu HE, Kao YW, Qin L, et al. Definitive intensitymodulated radiotherapy or surgery for early oral cavity squamous cell carcinoma: Propensity-score-matched, nationwide, populationbased cohort study[J]. Head & Neck, 2021, 43(4):1142-1152.

[22] Zeng YL, Qin L, Wei WJ, et al. Meta-omics characteristics of intestinal microbiota associated to HBeAg seroconversion induced by oral antiviral therapy[J]. Scientific reports, 2021, 11(1): 1-12.

[23] Sun M, Zhang J, Zhang W, Li N, Zuo M, Qin L*, Wu SY*. Factors affecting the risk of SARS-CoV-2 transmission to anesthesiologists performing endotracheal intubation in patients with SARS-CoV-2[J]. American journal of translational research, 2021, 13(4): 1915.

[24] Qin L, Sun Q, Shao J, et al. Association of temperature and relative humidity with the growth rate of the coronavirus disease 2019 epidemic[J]. American Journal of Translational Research, 2021, 13(6): 5943-5955.

[25] 姚铃, 秦磊. 欧盟新贸易政策及其对中欧经贸关系的影响[J]. 国际贸易, 2021(07):61-67.

[26] Qin L, Zhang XM, Wu AL, et al. Association Between Social Media Use and Cancer Screening Awareness and Behavior for People Without a Cancer Diagnosis: Matched Cohort Study[J]. Journal of Medical Internet Research, 2021, 23(8): e26395.

[27] Shao L, Zhang X, Hu T, Chen Y, Zhang C, Dong L, Ling SG, Dong Z, Zhou WD, Zhang RH, Qin L*, Wei WB*. Prediction of the Fundus Tessellation Severity With Machine Learning Methods[J]. Frontiers in Medicine, 2022, 9, 817114.

[28] Chen Y, Zhang X, Lu L, Wang YZ, Liu JJ, Qin L, Ye LL, Zhu JP, Shia BC, Chen MC. Machine Learning Methods to Identify Predictors of Psychological Distress[J]. Processes, 2022, 10(5): 1030.

[29] Xia C, Qin L, Wang Y, et al. Risk factors and specific cancer types of second primary malignancies in patients with breast cancer receiving adjuvant radiotherapy: a case-control cohort study based on the SEER database[J]. American Journal of Cancer Research, 2022, 12(6): 2744.

[30] Wu S, Zhang X, Chen P, Lai H, Wu Y, Shia BC, Chen MC, Ye L, Qin L*. Identifying the Predictors of Patient-Centered Communication by Machine Learning Methods[J]. Processes, 2022, 10(12): 2484.

[31] Ye L, Chen Y, Cai Y, Kao YW, Wang YX, Chen M, Shia BC, Qin L*. Gender Differences in the Nonspecific and Health-Specific Use of Social Media Before and During the COVID-19 Pandemic: Trend Analysis Using HINTS 2017-2020 Data[J]. Journal of Health Communication, 2023: 1-10.

[32] Zhang X, Ren H, Gao L, Shia BC, Chen M, Ye LL, Wang R, Qin L*. Identifying the predictors of severe psychological distress by auto-machine learning methods[J]. Informatics in Medicine Unlocked, 2023, 39: 101258.

[33] Chen Y, Liu X, Gao L, Zhu M, Shia BC, Chen M, Ye L, Qin L*. Using the H2O Automatic Machine Learning Algorithms to Identify Predictors of Web-Based Medical Record Nonuse Among Patients in a Data-Rich Environment: Mixed Methods Study[J]. JMIR Medical Informatics, 11, e41576.

[34] Kao YW, Ye L, Qin L, et al. Dental scaling and lower risk of spontaneous intracranial hemorrhage[J]. Heliyon, 2023: e18431.

四、报纸文章

[1] 秦磊, 孙强. 小数据何时比大数据更好[N]. 中国信息报, 2020.12.

五、出版译著

[1] Bernard Marr. 智能大数据SMART准则:数据分析方法、案例和行动纲领[M]. 秦磊, 曹正凤译. 电子工业出版社, 2015.

[2] Omer Artun, Dominique Levin. 大数据时代营销人的变革:预测营销[M]. 曹正凤, 秦磊, 谢邦昌, 王淑燕译. 电子工业出版社, 2016.

六、主持项目

[1] 基于自适应LASSO和稳健加权Lp回归的参数估计和变量选取,对外经济贸易大学新进青年教师科研启动项目,2014.10-2015.06

[2] 数据挖掘与统计计算,对外经济贸易大学校级常规课程建设项目,2015.06-2017.06

[3] 高维成分数据的稀疏分类算法及应用,对外经济贸易大学校级青年项目,2015.10-2016.09

[4] 大规模成分数据的分类算法及其应用研究,北京市自然科学基金青年项目,2016.01-2018.06

[5] 大数据挖掘技术,对外经济贸易大学研究生课程建设项目,2016.06-2018.06

[6] 大数据下Leverage重要性抽样方法的稳健改进,对外经济贸易大学211工程建设项目,2016.05-2016.12

[7] 基于广义SICA惩罚函数的高维数据参数估计与变量选取研究,国家自然科学基金青年项目,2017.01-2019.12

[8] 异质性大数据下广义线性模型的MAXIMIN似然估计及其应用,全国统计科学研究重点项目,2017.01-2018.12

[9] 大数据下的统计方法创新研究及其应用,对外经济贸易大学惠园优秀青年学者,2017.01-2019.12

[10] 健康大数据的统计创新研究,对外经济贸易大学青年学术创新团队建设项目,2019.01-2021.12

[11] 大数据下重大传染病的监测和预警研究,对外经济贸易大学新冠肺炎疫情研究专项,2020.01-2021.12

[12] 重大传染病下稀缺物资的分配策略研究,对外经济贸易大学惠园杰出青年学者,2021.01-2023.12

[13] 时空数据建模下收入分布函数的动态演变规律及预测研究,国家社会科学基金青年项目,2021.10-2023.12

[14] 数字经济时代数据资产的估值和定价研究,国家社会科学基金重大项目,2023.01-2026.12

七、获得荣誉

2016年对外经济贸易大学惠园优秀青年学者

2019年对外经济贸易大学科研标兵二等奖

2020年对外经济贸易大学优秀硕士论文指导教师

2021年对外经济贸易大学惠园杰出青年学者

2021年首届《统计研究》优秀论文三等奖

2022对外经济贸易大学科研创新贡献奖A-III

八、学术兼职

商务部国家服务贸易统计专家组成员

全国研究生教育评估专家库专家

全国本科毕业论文(设计)抽检评审专家库专家

全国工业统计学教学研究会常务理事

全国工业统计学教学研究会健康医疗大数据学会理事

北京大数据协会理事

北京市统计学会理事

《统计研究》《数理统计与管理》《数量经济技术经济研究》审稿人