1. 复杂数据下治疗影响的半参数统计推断及其应用，国家自然科学基金项目青年科学基金，11701561，2018—2020，主持，结项
2. 复杂数据下治疗影响的统计推断问题，集团科学研究基金，15XNF025，2015-2016，主持，结项
3. 缺失数据下分位数回归的模型平均研究和应用，集团科学研究基金面上项目，19XNB014，2019-2021，主持，结项
4. 复杂数据下半参数分位数回归的模型平均研究和应用，国家统计局重点项目，2019K20265，2019-2021，主持，结项
本科课程： 回归分析 、多元统计分析、数据科学概论
研究生课程：生存分析 、生物统计模型选讲 、高等概率论
1. Yang Li, Le Qi, Yichen, Qin, Cunjie Lin* and Yuhong Yang (2023). Block weighted least squares estimation for nonlinear cost-based split questionnaire design. Journal of Official Statistics, to appear.
2. Zishu Zhan, Yang Li, Yuhong Yang and Cunjie Lin* (2022). Model averaging for semiparametric varying coefficient quantile regression models. Annals of the Institute of Statistical Mathematics, DOI: 10.1080/01621459.2021.1923511.
3. Cunjie Lin, Jingfu Peng, Yichen Qin, Yang Li* and Yuhong Yang (2022). Optimal integrating learning for split questionnaire design type data. Journal of Computational and Graphical Statistics, DOI: 10.1080/10618600.2022.2118753.
4. Zhishuai Liu, Zishu Zhan and Cunjie Lin* (2022). Penalized regression analysis with individual-specific patterns of missing covariates. Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2022.2098332.
5. Cunjie Lin, Nan Qiao, Wenli Zhang, Yang Li* and Shuangge Ma*(2022). Default risk prediction and feature extraction using a penalized deep neural network. Statistics and Computing, 32:76.
6. Huangdi Yi, Qinzhao Zhang, Cunjie Lin* and Shuangge Ma* (2022). Information-incorporated Gaussian graphical model for gene expression data. Biometrics, 78: 512-523.
7. Yang Li#, Rong Li#, Yichen Qin, Cunjie Lin* and Yuhong Yang (2021). Robust group variable screening based on maximum Lq-likelihood estimation. Statistics in Medicine, 40(30): 6818-6834.
8. Weijuan Liang, Shuangge Ma and Cunjie Lin*(2021). Marginal false discovery rate for a penalized transformation survival model. Computational Statistics and Data Analysis,160: 107232.
9. Yang Li, Rong Li, Cunjie Lin*, Yichen Qin and Shuangge Ma* (2019). Penalized integrative semi-parametric interaction analysis for multiple genetic datasets. Statistics in Medicine, 38(17): 3221-3242.
10. Yutao Liu, Cunjie Lin* and Yong Zhou (2019). Nonparametric estimate of conditional quantile residual lifetime for right censored data. Statistics and its interface, 12: 61-70.
11. Li Zhang, Cunjie Lin* and Yong Zhou (2018). Generalized method of moments for nonignorable missing data. Statistica Sinica, 28: 2107-2124.
12. Cunjie Lin, Wenhua Wei* and Yong Zhou (2018). Semiparametric estimation of treatment effect with density ratio model. Communications in Statistics – Theory and Methods, 47(14): 3338-3359.
13. Li Zhang, Cunjie Lin and Yong Zhou (2017). A resampling method by perturbing the estimating functions for quantile regression with missing data. Communications in Statistics - Simulation and Computation, 46(8): 6661-6671.
14. Mu Zhao, Cunjie Lin* and Yong Zhou (2017). Analyzing right-censored length-biased data with additive hazards model. Acta Mathematicae Applicatae Sinica (English Series), 33(4): 893-908.
15. Junzhe Chen#, Ying Tang#, Mingsheng Zhu, Jun Lv, Sha Fu, Huizhen He, Yuchun Zeng, Cunjie Lin and Anping Xu* (2017). The association of echocardiographic parameters with mortality in hospitalized patients with lupus nephritis. Nephrology, 22(11): 872-884.
16. Cunjie Lin* and Yong Zhou (2016). Semiparametric varying-coefficient model with right-censored and length-biased data. Journal of Multivariate Analysis, 152:119-144.
17. Cunjie Lin*, Li Zhang and Yong Zhou (2016). Inference on quantile residual life function under right censored data. Journal of Nonparametric Statistics, 28(3): 617-643.
18. Cunjie Lin*, Li Zhang and Yong Zhou (2015). Conditional quantile residual lifetime models for right censored data. Lifetime Data Analysis, 21:75-96.
19. Cunjie Lin* and Yong Zhou (2014). Analyzing right-censored and length-biased data with varying-coefficient transformation model. Journal of Multivariate Analysis, 130: 45-63.
20. Cunjie Lin* and Yong Zhou (2014). Inference for the treatment effects in two sample problems with right-censored and length-biased data. Statistics and Probability Letters, 90:17-24.
21.李嵘，张文丽，李扬，林存洁* (2022). 基于深度学习的大规模肿瘤数据生存分析. 中国卫生统计，39(1): 84-90.
22.林存洁，吴朦，易丹辉，胡镜清 (2017). 多个响应变量的纵向数据联合建模方法及应用. 世界科学技术-中医药现代化，09：1443-1448.
23.邹超，林存洁，赵诚和，王霞，孙凌云，易丹辉，杨宇飞 （2016）. 结直肠癌术后中医证型与预后相关性的巢式病历对照研究. 世界科学技术-中医药现代化,18(6): 1040-1045.
24.林存洁 & 李杨 (2016). 大数据分析仍需要统计思想——以ARGO模型为例. 统计研究，33(11): 109-112.