崔文泉,北京大学概率统计硕士,中国科大概率统计博士。
研究方向:多元生存分析,基因统计,非参数/半参数统计,过程统计,高维复杂数据函数数据统计推断,统计渐近理论,机器学习。
近年来部分论文:
Wenquan Cui*, Jianbo Li and Jianjun Xu. Information consistency of dependent convolved Gaussian processes regression, International Journal of Wavelets Multiresolution and Information Processing, 2024, Vol. 22, No. 6 (2450034 (22 pages), DOI: 10.1142/S0219691324500346.
Yuchen Ding, Jianjun Xu and Wenquan Cui*. Dual Debiased Collaborative Filtering Recommendation Algorithm Suitable for Sparse Implicit Feedback Data, Computer Systems & Applications, 2024,33(8):145?154 [doi: 10.15888/j.cnki.csa.009606]
Cui, W.*, Xu, J., & Wu, Y. A new reproducing kernel-based nonlinear dimension reduction method for survival data. Scandinavian Journal of Statistics, 2023) 50(3), 1365–1390. https://doi.org/10.1111/sjos.12635
Jianjun Xu, Wenquan Cui*, Haoyang Cheng* (2023), Online sparse sliced inverse regression for high-dimensional streaming data, International Journal of Wavelets Multiresolution and Information Processing, Vol. 21, No. 2 (2023) 2250055 (19 pages), DOI: 10.1142/S0219691322500552.
Yu Wang, Wenquan Cui and Jianjun Xu, Online confidence interval estimation for federated heterogeneous optimization, JUSTC, 2023, 53(11): 1103. DOI:10.52396/JUSTC-2022-0179
Haoyang Cheng, Wenquan Cui*. Sparse sufficient dimension reduction with heteroscedasticity, International Journal of Wavelets Multiresolution and Information Processing, Vol. 20, No. 1 (2022) 2150037 (17 pages), DOI: 10.1142/S0219691321500375.
Li, J., Cui, W*. A New Classifier for Imbalanced Data Based on a Generalized Density Ratio Model. Commun. Math. Stat. 11, 369–401 (2023). https://doi.org/10.1007/s40304-021-00254-7.
Jianjun Xu, Wenquan Cui*, A new RKHS-based global testing for functional linear model, Statistics and Probability Letters 182 (2022) 109277.
Yulian Ma, Wenquan Cui*, An end-to-end multitask method with two targets for high-frequency price movement prediction, Journal of University of Science and Technology of China, 2021, 51(3): 246-258.
Yu Xia and Wenquan Cui. Personalized Federated Learning Algorithm Based on Reptile, Computer Systems & Applications, 2022,31(12):294?300 [doi: 10.15888/j.cnki.csa.008875]
XU Ya-Qian, Wenquan Cui, CHENG Hao-Yang. Disease Scores Predicting Based on Federated Learning and Importance Weighting, Computer Systems & Applications, 2022,31(12):375?382, doi: 10.15888/j.cnki.csa.008871.
Wenquan Cui*, Houying Yu, Xiaotian Hou, Focused loss-based for immbalanced data scenarios integrated classification methods for CGAN, Journal of University of Science and Technology of China, 2020, 50(7): 968-976.
Wenquan Cui*, Qingfang Wang, A dual encoder-based approach to predicting stock price by leveraging social media information, Journal of University of Science and Technology of China, 2020, 50(8): 1093-1101.
Jiajing Sun, Brendan McCabe, Wenquan Cui, Guoxing Li, Integer valued autoegressive process with Katz arrivals and its application in predicting the count of the cases of respiratory disease, Chinese Journal of Applied Probability and Statistics, 2020 Vol. 36 (6): 551-568.
Wenquan Cui*, Feng Zhang, Jianjun Xu, An ensemble classification method based on kernel random projection, Journal of University of Science and Technology of China, 2020, 50(7): 950-958.
Wenquan Cui*, Wei Chen, Haoyang Cheng, A Multi-view based semi-supervised classifier with co-regularization for imbalanced data, Journal of University of Science and Technology of China, 2020, 50(5): 596-604.
Wenquan Cui*, Demei Yu, Haoyang Cheng, A New Non-Iterative Approach to Kernel Logistic Regression for Imbalanced Data, Journal of University of Science and Technology of China, 2019, 49(8): 970-977.
Wenquan Cui*, Yuqiao Huang, A new random projection-based ensemble classifier for high dimensional data, Journal of University of Science and Technology of China, 2019, 49(8): 960-969.
Wenquan Cui*, Haoyang Cheng, Jiajing Sun. An RKHS-based approach to double-penalized regression in high-dimensional partially linear models. Journal of Multivariate Analysis, 2018, (168): 201-210.
Wenquan Cui *,Bo Liu,A RKHS-based semiparametric approach to nonlinear dimension reduction, Journal of University of Science and Technology of China, 2016, 46(11): 966-971.
Wenquan Cui*,Chenglong Wu,An approach to estimating nonlinear sufficient dimension reduction subspace for censored survival data, Journal of University of Science and Technology of China, 2015, 45(9): 709-716.
Qihua Wang and Wenquan Cui, Probability density estimation with surrogate data and validation sample, Front. Math. China 2013, 8(3): 665–694.
Wenquan Cui*, Zhiliang Ying, Lincheng Zhao. A simple construction of optimal estimation in multivariate marginal Cox regression. Science China Mathematics, 2012, (55): 1827–1857.
Wenquan Cui*, Kai Li, Yaning Yang, Yuehua, Wu. Random weighting method for Cox’s proportional hazards model. Science in China Series A: Mathematics, 2008, (51): 1843–1854.
Wenquan Cui*, Lincheng Zhao, Zhidong Bai. On asymptotic joint distributions of eigenvalues of random matrices which arise from components of covariance model. Journal of Systems Science and Complexity, 2005, (1): 126-135.
Wenquan Cui*. LAD-based Tests for Linear Hypothesis in Censored Regression Models. Journal of University of Science and Technology of China,, 2004, (34): 511-523.
Zehua Chen, Wenquan Cui. A two-phase procedure for QTL mapping with regression models. Theor Appl Genet, 2010, (121): 363–372.
Wenquan Cui*. Improving Estimation Efficiency of Cox Model via Using Other Related Survival Data. Chinese Journal of Applied Probability and Statistics, 2011, (27): 614-632.
Min Yuan, Wenquan Cui, Yaning Yang. Correcting for biases in affected sib-pair linkage analysis caused by uncertainty in sibling relationship. Science China Mathematics, 2012, 55(6): 1127–1135.