工作經(jīng)歷

2021年1月-至今  上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與信息學(xué)院  副教授

2017年2月-2020年12月 上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與信息學(xué)院 講師

簡(jiǎn)介

上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與信息學(xué)院副教授，碩士生導(dǎo)師。主持國家自然科學(xué)基金青年基金項(xiàng)目、面上項(xiàng)目各1項(xiàng)，主持上海市自然科學(xué)基金項(xiàng)目面上項(xiàng)目1項(xiàng)，主持教育部重點(diǎn)實(shí)驗(yàn)室開放課題項(xiàng)目1項(xiàng)，入選2022年上海市“曙光計(jì)劃”項(xiàng)目；在Statistica Sinica、JMA、CSDA等國內(nèi)外統(tǒng)計(jì)學(xué)權(quán)威期刊已發(fā)表SCI檢索論文20篇；現(xiàn)任中國現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)教育統(tǒng)計(jì)與管理分會(huì)副理事長(zhǎng)，中國現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)理事。美國加州大學(xué)圣巴巴拉分校聯(lián)合培養(yǎng)博士，多次在香港中文大學(xué)、香港浸會(huì)大學(xué)交流訪問。

發(fā)表論文

1. Yue Wang, Wenqin Lu, Lei Wang, Zhongyi Zhu, Hongmei Lin* and Heng Lian, Regularized adaptive Huber matrix regression and distributed learning (2024), Statistica Sinica, accept.

2. Wenchao Xu, Hongmei Lin*, Tiejun Tong and Riquan Zhang, A new method for estimating Sharpe ratio function via local maximum likelihood (2024), Journal of Applied Statistics, 51(1):34-52.

3. 林紅梅，張少東，彭宜洛、杜金艷，縱向數(shù)據(jù)下存在測(cè)量誤差的單指標(biāo)模型的估計(jì)及應(yīng)用（2023），應(yīng)用概率統(tǒng)計(jì)，39（4）（第39卷第4期2023年8月）：561-576.

4. Jiamin Liu, Wangli Xu, Hongmei Lin* and Heng Lian, Sketched approximation of regularized canonical correlation analysis (2023), Communications in statistics-theory and methods, 52（19），6960-6971.

5. Hongmei Lin, Tiejun Tong, Yuedong Wang, Wenchao Xu and Riquan Zhang, Direct local linear estimation for Sharpe ratio function (2022), The Canadian Journal of Statistics, 50(1): 36-58.  

6. Yan Zhou, Weiping Zhang, Hongmei Lin* and Heng Lian, Partially linear functional quantile regression in a reproducing kernel hilbert space (2022), Journal of Nonparametric Statistics,34(4):789-803.

7. Hongmei Lin, Jianhong Shi, Tiejun Tong and Riquan Zhang, Partially linear single-index model in the presence of measurement error (2022), Journal of Systems Science and Complexity, 35: 1--20.

8. Wenchao Xu, Hongmei Lin, Riquan Zhang and Hua Liang，Two-sample functional linear models with functional responses(2022), Journal of Statistical planning and inference, 218:85-105

9. Yuzhu Tian, Hongmei Lin*, Heng Lian and Zengyan Fan, Additive functional regression in reproducing kernel Hilbert space under smoothness condition (2021), Metrika, 84:429--442.

10. Guangren Yang, Hongmei Lin* and Heng Lian, Minimax rate in prediction for functional principal component regression(2021), Communications in statistics-theory and methods,50（5）:1240-1249.

11. Cui Xia, Hongmei Lin* and Heng Lian, Partially functional linear regression in reproducing kernel Hilbert spaces (2020), Computational Statistics & Data Analysis, 150: 1-13.  

12. Hongmei Lin, Xuejun Jiang, Heng Lian and Weiping Zhang, Reduced rank modeling for functional regression with functional responses (2019), Journal of Multivariate Analysis, 169: 205—217.

13. Hongmei Lin, Heng Lian and Hua Liang, Rank reduction for high-dimensional generalized additive models(2019), Journal of Multivariate Analysis, 173: 672—684.

14. Guangren Yang, Hongmei Lin and Heng Lian*, On double-index dimension reduction for partially functional data (2019), Journal of Nonparametric Statistics, 31（3）:761-768.

15. Hongmei Lin, Riquan Zhang and Jianhong Shi (2017), Local Estimation of Varying-Coefficient Model with Longitudinal Data, Communications in Statistics-Theory and Methods, 46:7511--7528.

16. Hongmei Lin, Riquan Zhang and Yuedong Wang (2017), Estimating Time-Varying Treatment Switching Effects via Local Polynomials and Quasi-Likelihood, Computational Statistics and Data Analysis, 110:50—63.

17. Hongmei Lin, Riquan Zhang and Yuedong Wang (2017), Varying-Coefficient Single-Index Model for Longitudinal Data, Statisticsand Its Interface, 10: 495—504.

18. Hongmei Lin, Riquan Zhang, Jianhong Shi, Jicai Liu and Yanghui Liu (2016), A New Local Estimation Method for Single Index Models for Longitudinal Data, Journal of Nonparametric Statistics, 28: 644--658.

19. Yanghui Liu, Riquan Zhang and Hongmei Lin (2017), Local Estimation for Longitudinal Semiparametric Varying-Coefficient Partially Linear Model, Journal of the Korean Statistical Society, 46（2）:246-266. 

20. Hongmei Lin, Wenchao Xu, Riquan Zhang and Yuedong Wang (2016), Multiple-Index Varying-Coefficient Models for Longitudinal Data, Journal of Applied Statistics, 44: 1960—1978.

21. Jianhong Shi, Hongmei Lin (2013), Inferences on the difference and ratio of the means of two independents two-parameter exponential distribution, Chinese Journal of Applied Probability and Statistics, 1: 87–96.

科研項(xiàng)目

1. 國家自然科學(xué)基金面上項(xiàng)目，海量復(fù)雜數(shù)據(jù)下半?yún)?shù)指標(biāo)模型的統(tǒng)計(jì)推斷及其應(yīng)用，2022/01-2025/12，主持

2. 上海市“曙光計(jì)劃”項(xiàng)目，大規(guī)模金融數(shù)據(jù)的穩(wěn)健統(tǒng)計(jì)方法、理論和應(yīng)用，2023/01-2024/12，主持

3. 上海市高校市級(jí)重點(diǎn)課程項(xiàng)目，《統(tǒng)計(jì)學(xué)（英）混合式課程》，2023/01-2024/12，主持

4. 上海市自然科學(xué)基金面上項(xiàng)目，海量數(shù)據(jù)下半?yún)撟兞磕Ｐ偷慕y(tǒng)計(jì)推斷方法與應(yīng)用，2020/07-2023/06，主持

5. 國家自然科學(xué)基金青年項(xiàng)目，具有潛變量的含指標(biāo)項(xiàng)半?yún)?shù)回歸模型的估計(jì)問題，2018/01-2020/12，主持

6. 教育部重點(diǎn)實(shí)驗(yàn)室項(xiàng)目開放課題，統(tǒng)計(jì)與數(shù)據(jù)科學(xué)前沿理論及應(yīng)用《面向大數(shù)據(jù)的meta分析的方法研究》，2019/05-2021/04，主持

獎(jiǎng)項(xiàng)情況

1. 2019年 上海對(duì)外經(jīng)貿(mào)大學(xué)科研標(biāo)兵

2. 2020年 榮獲首屆“上海高校青年教師培養(yǎng)資助計(jì)劃”課程思政教學(xué)案例展演活動(dòng)自然科學(xué)組三等獎(jiǎng)

3. 2022年榮獲第五屆全國應(yīng)用統(tǒng)計(jì)專業(yè)學(xué)位研究生教育教學(xué)成果二等獎(jiǎng)

4. 2022年 上海市曙光學(xué)者

5. 2023年 入選上海市東方英才人才項(xiàng)目