Canhong Wen - RankMe

14 papers A* 1A 1B 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	An Efficient Pruner for Large Language Model with Theoretical Guarantee. ICML Canhong Wen, Yihong Zuo, Wenliang Pan
2024	B	`conf`	SWGP: Semi-supervised clustering via Wasserstein generative adversarial network with gradient penalty for uncovering brain disease heterogeneity from medical images. IJCNN Shaopeng Wei, Canhong Wen, Haizhu Tan, Chiyu Wei
2024	B	`conf`	Subset Selection in Support Vector Machine. IJCNN Jiangshuo Zhao, Canhong Wen
2023	J	`jnl`	Communication-efficient estimation for distributed subset selection. Stat. Comput. Yan Chen, Ruipeng Dong, Canhong Wen
2023	J	`jnl`	Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. INFORMS J. Comput. Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni, Wenliang Pan
2023	J	`jnl`	Stability Approach to Regularization Selection for Reduced-Rank Regression. J. Comput. Graph. Stat. Canhong Wen, Qin Wang, Yuan Jiang
2023	J	`jnl`	ℓ INFORMS J. Comput. Canhong Wen, Xueqin Wang, Aijun Zhang
2022	J	`jnl`	Best Subset Selection in Reduced Rank Regression. CoRR Canhong Wen, Ruipeng Dong, Xueqin Wang, Weiyu Li, Heping Zhang
2021	J	`jnl`	Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants. Bioinform. Canhong Wen, Hailong Ba, Wenliang Pan, Meiyan Huang
2020	J	`jnl`	Genome-wide association studies of brain imaging data via weighted distance correlation. Bioinform. Canhong Wen, Yuhui Yang, Quan Xiao, Meiyan Huang, Wenliang Pan
2020	A	`conf`	Image denoising via K-SVD with primal-dual active set algorithm. WACV Quan Xiao, Canhong Wen, Zirui Yan
2020	J	`jnl`	Image denoising via K-SVD with primal-dual active set algorithm. CoRR Quan Xiao, Canhong Wen, Zirui Yan
2018	J	`jnl`	Adaptive Exponential Power Depth with Application to Classification. J. Classif. Yunlu Jiang, Canhong Wen, Xueqin Wang
2017	—	`conf`	Conditional Local Distance Correlation for Manifold-Valued Data. IPMI Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu