Canhong Wen

According to our database, Canhong Wen authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Subset Selection in Support Vector Machine.

Jiangshuo Zhao, Canhong Wen

Proceedings of the International Joint Conference on Neural Networks, 2024

SWGP: Semi-supervised clustering via Wasserstein generative adversarial network with gradient penalty for uncovering brain disease heterogeneity from medical images.

Shaopeng Wei, Canhong Wen, Haizhu Tan, Chiyu Wei

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Communication-efficient estimation for distributed subset selection.

Yan Chen, Ruipeng Dong, Canhong Wen

Stat. Comput., December, 2023

Stability Approach to Regularization Selection for Reduced-Rank Regression.

Canhong Wen, Qin Wang, Yuan Jiang

J. Comput. Graph. Stat., 2023

ℓ₀ Trend Filtering.

Canhong Wen, Xueqin Wang, Aijun Zhang

INFORMS J. Comput., 2023

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression.

Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni, Wenliang Pan

INFORMS J. Comput., 2023

2022

Best Subset Selection in Reduced Rank Regression.

Canhong Wen, Ruipeng Dong, Xueqin Wang, Weiyu Li, Heping Zhang

CoRR, 2022

2021

Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants.

Canhong Wen, Hailong Ba, Wenliang Pan, Meiyan Huang

Bioinform., 2021

2020

Genome-wide association studies of brain imaging data via weighted distance correlation.

Canhong Wen, Yuhui Yang, Quan Xiao, Meiyan Huang, Wenliang Pan

Bioinform., 2020

Image denoising via K-SVD with primal-dual active set algorithm.

Quan Xiao, Canhong Wen, Zirui Yan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2018

Adaptive Exponential Power Depth with Application to Classification.

Yunlu Jiang, Canhong Wen, Xueqin Wang

J. Classif., 2018

2017

Conditional Local Distance Correlation for Manifold-Valued Data.

Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu

Proceedings of the Information Processing in Medical Imaging, 2017