Canhong Wen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Topics

Multinomial Logistic Regression

Subset Selection

Top Venues

INFORMS J. Comput.

Publications

Yan Chen, Ruipeng Dong, Canhong Wen
Communication-efficient estimation for distributed subset selection. Stat. Comput. 33 (6) (2023)
Canhong Wen, Xueqin Wang, Aijun Zhang
Trend Filtering. INFORMS J. Comput. 35 (6) (2023)
Canhong Wen, Qin Wang, Yuan Jiang
Stability Approach to Regularization Selection for Reduced-Rank Regression. J. Comput. Graph. Stat. 32 (3) (2023)
Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni, Wenliang Pan
Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. INFORMS J. Comput. 35 (5) (2023)
Canhong Wen, Ruipeng Dong, Xueqin Wang, Weiyu Li, Heping Zhang
Best Subset Selection in Reduced Rank Regression. CoRR (2022)
Canhong Wen, Hailong Ba, Wenliang Pan, Meiyan Huang
Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants. Bioinform. 36 (21) (2021)
Canhong Wen, Yuhui Yang, Quan Xiao, Meiyan Huang, Wenliang Pan
Genome-wide association studies of brain imaging data via weighted distance correlation. Bioinform. 36 (19) (2020)
Quan Xiao, Canhong Wen, Zirui Yan
Image denoising via K-SVD with primal-dual active set algorithm. WACV (2020)
Quan Xiao, Canhong Wen, Zirui Yan
Image denoising via K-SVD with primal-dual active set algorithm. CoRR (2020)
Yunlu Jiang, Canhong Wen, Xueqin Wang
Adaptive Exponential Power Depth with Application to Classification. J. Classif. 35 (3) (2018)
Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu
Conditional Local Distance Correlation for Manifold-Valued Data. IPMI (2017)