Conditional Local Distance Correlation for Manifold-Valued Data. - Wenliang Pan; Xueqin Wang; Canhong Wen; Martin Styner; Hongtu Zhu (IPMI, 2017)

CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples. - Yu Liu; Paul W. Bible; Bin Zou; Qiaoxing Liang; Cong Dong; Xiaofeng Wen; Yan Li; Xiaofei Ge; Xifang Li; Xiuli Deng; Rong Ma; Shixin Guo; et al. (Bioinform., 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)

Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants. - Canhong Wen; Hailong Ba; Wenliang Pan; Meiyan Huang (Bioinform., 2021)

Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces. - Jin Zhu; Wenliang Pan; Wei Zheng; Xueqin Wang (J. Stat. Softw., 2021)

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. - Canhong Wen; Zhenduo Li; Ruipeng Dong; Yijin Ni; Wenliang Pan (INFORMS J. Comput., 2023)

Uncertainty principles for random signals. - Pei Dang; Chuang Li; Weixiong Mai; Wenliang Pan (Appl. Math. Comput., 2023)

Uncertainty principle in random quaternion domains. - Pei Dang; Weixiong Mai; Wenliang Pan (Digit. Signal Process., 2023)