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温灿红
副教授
+86-
wench(at)ustc.edu.cn(at)换成@
统计与金融系
概率与统计




个人简介 研究成果 项目信息 服务信息


教育经历
理学博士，中山大学，数学学院概率论与数理统计 专业 2009.09——2015.12
理学学士，合肥工业大学， 数学学院数学与应用数学专业 2005.09——2009.07
工作经历
副研究员，中国科学技术大学， 管理学院 2017.05——至今
副研究员，中山大学，数学学院 2016.01——2017.04
访问****，香港大学，统计与精算系 2016.12——2017.03
访问****，香港浸会大学， 2016.07——2016.08
联合培养博士，耶鲁大学，公共卫生学院 2014.09——2015.09
科研经历
国自然青年项目，影像遗传学中对图像和遗传特征同时选取的方法研究，负责人，2019.01-2021.12.
“科大新医学”联合基金培育项目，腹腔镜胃癌手术难度的分级评估及危险因素研究，负责人， 2018.07-2020.06


研究方向
统计算法、统计学习、生物统计、影像遗传学
发表文章
一、统计方法
1. Zhu, J.^#, Wen, C.^#, Zhu, J., Zhang, H.*, Wang, X.*(2020). A Polynomial Algorithm for Best Subset Selection Problem. Proceedings of the National Academy of Sciences of the United States of America(PNAS). 17(52): 33117-33123
2. Wen, C., Ba, H., Pan, W. and Huang, M. (2020). Co-Sparse Reduced Rank Regression for Association Analysis between Imaging Phenotypes and Genetic Variants. Bioinformatics. 36(21): 5214-5222.
3. Wen, C., Yang, Y., Xiao, Q., Huang, M. and Pan, W.*(2020). Genome-wide Association Studies of Brain Imaging Data via Weighted Distance Correlation. Bioinformatics 36(19): 4942-4950.
4. Wen, C., Zhang, A., Quan, S. and Wang, X.*(2020). BeSS: An R Package for Best Subset Selection in Linear, Logistic and CoxPH Models. Journal of Statistical Software, 94(4): 1-24.
5. Xiao, Q., Wen, C.* and Yan Z. (2020). Image denoising via K-SVD with primal-dual active set algorithm. The IEEE Winter Conference on Applications of Computer Vision (WACV 2020), 2455-2463
6. Wen, C., Chintan, M., Tan, H. and Zhang, H.*(2018). Whole Genome Association Study of Brain-wide Imaging Phenotypes: a Study of the PING Cohort. Genetic Epidemiology, 42(3):265-275. (Cover Image on this issue)
7. Wen, C., Pan, W., Huang, M. and Wang, X.*(2018). Sure Independence Screening Adjusted for Confounding Covariates with Ultrahigh Dimensional Data. Statistica Sinica,28(1):293-317.
8. Jiang, Y., Wen, C., Wang, X. (2018). Adaptive Exponential Power Depth with Application to Classification. Journal of Classification, 35(3): 466-480.
9. Pan, W., Wang, X., Wen, C., Styner, M., Zhu, H. (2017, June) Conditional Local Distance Correlation for Manifold-Valued Data. International Conference on Information Processing in Medical Imaging, 41-52. Springer, Cham.
10. Wen, C., Zhu, S., Chen, X. and Wang, X. (2017). Adaptive Model-free Sure Independence Screening. Statistics and Its Interface, 10:399-406.
11. Pan, W., Wen, C.* (2016). A comment on "Causal inference by using invariant prediction: identification and confidence intervals by J. Peters, P. Buhlamm and N. Meishausen"，Journal of the Royal Statistical Society: Series B (Methodological), 78(5), 996-997.
12. Wen, C., Wang, X. and Wang, S. (2015). Laplace Error Penalty Based Variable Selection in Ultra-high Dimension. Scandinavian Journal of Statistics, 42(3): 685-700.


二、生物医学统计
1. Ce Li^#, Wang, X.^#, Wen, C.* and Tan, H.*(2020). Association of Degree of Loss Aversion and Grey Matter Volume in Superior Frontal Gryrus by Voxel-based Morphometry. Brain imaging and behavior, 14(1): 89-99.
2. Hu, Y., Wen, C., Li, Z., Zhao, W., Ding, X. and Yang, X*(2019). Areal summed corneal power shift is an important determinant for axial length elongation in myopic children treated with overnight orthokeratology. British Journal of Ophthalmology, 103:1571–1575.
3. Wen, C.^#, Ou, S.^#, Guo, X., Liu, C., Shen, U., You, N., Cai, W., Shen, W., Wang, X., Tan, H. (2017). B-CAN: a Resource Sharing Platform to Improve the Operation, Visualization and Integrated Analysis of TCGA Breast Cancer Data. Oncotarget, 8:108778-108-785.
4. Liang, H., Xiang, Y., Lv, X., Xie, C., Cao, S., Wang, L., Qian, C., Yang, J., Ye, Y., Gan, F., Ke, L., Yu, Y., Liu, G., Qiu, W., Huang, X., Wen, C., You, N., Wang, X., Guo, X. and Xia, W. (2017). Survival impact of waiting time for radical radiotherapy in nasopharyngeal carcinoma: A large institution-based cohort study from an endemic area. European Journal of Cancer, 73:48-60.
5. Tan, H., Li, H., Liu, C., Guan, J., Guo, X., Wen, C., Ou, S., Zhang, Y., Zhang, J., Xu, C., Shen, Z., Wu, R., Wang, X. (2016). Main Effects of Diagnoses, Brain Regions, and their Interaction Effects for Cerebral Metabolites in Bipolar and Unipolar Depressive Disorders. Scientific Reports, 6:37343.
6. Xiao, W., Wen, C., Zhu S. and He, M. (2015). Evaluation of an automated detection program for diabetic retinopathy. Investigative Ophthalmology and Visual Science, 56(7): 1431.
7. Tan, H., Zhang, H., Xie, J., Chen, B., Wen, C., Guo, X., Zhao, Q., Wu, Z., Shen, J., Wu, J., Xu, X., Li, E., Xu L. and Wang, X. (2014). A Novel Staging Model to Classify Esophageal Squamous Cell Carcinoma Patients in China. British Journal of Cancer, 110:2109-2115.
8. Guo, X., Liu, D., Wen, C., He, M., and Wang, X. (2013). Incorporating heterogeneous parent-child environmental effects in biometrical genetic model. Statistics in Medicine, 32(20):3501-3508.