温灿红




职 称：副研究员
电 话：86+

邮 件：wench@ustc.edu.cn
所属单位：统计与金融系

主要研究方向：概率与统计学习、生物统计、统计计算、影像遗传学

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:
广东省自然基金项目，全脑全基因组关联分析的若干研究，负责人 2017.05——至今
横向合作项目，眼底图像智能化分析系统开发，负责人， 2013.04——2013.11
国自然面上项目，稳健且有限的回归和变量选择方法，参与者 2013.01——2016.12青年教师培育项目，非线性独立性检验，参与者2013.01——2016.12
博士点基金，超高维变量选择的新方法研究，参与者2012.01——2014.12


主要论著：

[01] Canhong Wen, Mehta Chintan,Haizhu Tan and Heping Zhang*. Whole Genome Association Study of Brain-wide Imaging Phenotypes: A Study of the PING Cohort. Accepted by Genetic Epidemiology.
[02] Canhong Wen,Wenliang Pan, Mian Huang and Xueqin Wang*. Sure Independence Screening Adjusted for Confounding Covariates with Ultrahigh Dimensional Data. Accepted by Statistica Sinica.
[03] Yunlu Jiang,Canhong WenandXueqin Wang* (2018).Adaptive Exponential Power Depth with Application to Classification.Journal of Classification35 DOI: 10.1007/s00357-.
[04] Canhong Wen, Shan Zhu, Xin Chen and Xueqin Wang*(2017). Adaptive Model-free Sure Independence Screening. Statistics and Its Interface, 10:399-406.
[05] Wenliang Pan, Xueqin Wang,Canhong Wen, Martin Styner, Hongtu Zhu* (2017, June) Conditional Local Distance Correlation for Manifold-Valued Data.International Conference on Information Processing in Medical Imaging, 41-52. Springer, Cham.
[06] Hu Liang, Yanqun Xiang, Xing Lv, Changqing Xie, Sumei Cao, Lin Wang, Chanan Qian, Jing Yang, Yanfang Ye, Feng Gan, Liangru Ke, Yahui Yu, Guoying Liu, Wenze Qiu, Xinjun Huang, Canhong Wen, Na You, Xueqin Wang, Xiang Guo, Weixiong Xia (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.
[07] Wenliang Pan,Canhong Wen*(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.
[08] Haizhu Tan, Hui Li, Chenfeng Liu, Jitian Guan, Xiaobo Guo,Canhong Wen, Shaomin Ou, Yinnan Zhang, Jie Zhang, Chongtao Xu, Zhiwei Shen, Renhua Wu, Xueqin Wang (2016). Main Effects of Diagnoses, Brain Regions, and their Interaction Effects for Cerebral Metabolites in Bipolar and Unipolar Depressive Disorders.Scientific Reports, 6:37343.
[09] Canhong Wen, Xueqin Wang and Shaoli Wang* (2015). Laplace Error Penalty Based Variable Selection in Ultra-high Dimension.Scandinavian Journal of Statistics, 42(3):685-700.
[10] Wei Xiao, Canhong Wen, Shan Zhu and Mingguang He (2015). Evaluation of an automated detection program for diabetic retinopathy. Investigative Ophthalmology and Visual Science, 56(7): 1431.
[11] Haizhu Tan, Heping Zhang, Jianjun Xie, Bo Chen, Canhong Wen, Xiaobo Guo, Qing Zhao, Zhiyong Wu, Jinhui Shen, Jianyi Wu, Xiue Xu, Enmin Li, Liyan Xu and Xueqin Wang (2014). A Novel Staging Model to Classify Esophageal Squamous Cell Carcinoma Patients in China. British Journal of Cancer, 110:2109-2115.
[12] Xiaobo Guo, Dungang Liu,Canhong Wen, Mingguang He, and Xueqin Wang (2013). Incorporating heterogeneous parent-child environmental effects in biometrical genetic model. Statistics in Medicine, 32(20):3501-3508.