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Canhong Wen
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2020 – today
- 2023
- [j7]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): 1044-1060 (2023) - [j6]Canhong Wen
, Xueqin Wang, Aijun Zhang
:
ℓ0 Trend Filtering. INFORMS J. Comput. 35(6): 1491-1510 (2023) - [j5]Canhong Wen
, Qin Wang, Yuan Jiang
:
Stability Approach to Regularization Selection for Reduced-Rank Regression. J. Comput. Graph. Stat. 32(3): 974-984 (2023) - [j4]Yan Chen, Ruipeng Dong
, Canhong Wen:
Communication-efficient estimation for distributed subset selection. Stat. Comput. 33(6): 141 (2023) - 2022
- [i2]Canhong Wen, Ruipeng Dong, Xueqin Wang, Weiyu Li, Heping Zhang:
Best Subset Selection in Reduced Rank Regression. CoRR abs/2211.15889 (2022) - 2021
- [j3]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): 5214-5222 (2021) - 2020
- [j2]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): 4942-4950 (2020) - [c2]Quan Xiao, Canhong Wen, Zirui Yan:
Image denoising via K-SVD with primal-dual active set algorithm. WACV 2020: 2444-2452 - [i1]Quan Xiao, Canhong Wen, Zirui Yan:
Image denoising via K-SVD with primal-dual active set algorithm. CoRR abs/2001.06780 (2020)
2010 – 2019
- 2018
- [j1]Yunlu Jiang, Canhong Wen, Xueqin Wang:
Adaptive Exponential Power Depth with Application to Classification. J. Classif. 35(3): 466-480 (2018) - 2017
- [c1]Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu:
Conditional Local Distance Correlation for Manifold-Valued Data. IPMI 2017: 41-52
Coauthor Index
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