7 papers
A Simple yet Effective Framework for Pre-treatment and Post-treatment Glioma Segmentation Using Multimodal MRI
Lin Qu, Ziqi Chen, Anqi Wu +2
Accurate glioma segmentation across pre- and post-treatment MRI remains challenging because treatment alters both image appearance and the target regions. In particular, the resect…
Unleashing Diffusion and State Space Models for Medical Image Segmentation
Rong Wu, Ziqi Chen, Liming Zhong +2
Existing segmentation models trained on a single medical imaging dataset often lack robustness when encountering unseen organs or tumors. Developing a robust model capable of ident…
Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
Rong Wu, Ziqi Chen, Gen Li +1
Motivation: Biomedical studies increasingly produce multi-view high-dimensional datasets (e.g., multi-omics) that demand integrative analysis. Existing canonical correlation analys…
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang +4
Conditional independence (CI) testing is a fundamental task in modern statistics and machine learning. The conditional randomization test (CRT) was recently introduced to test whet…
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph
Zhaoyang Zhang, Hongtu Zhu, Ziqi Chen +2
In this paper, we aim to address a significant challenge in the field of missing data imputation: identifying and leveraging the interdependencies among features to enhance missing…
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data
Hai Shu
A typical approach to the joint analysis of multiple high-dimensional data views is to decompose each view's data matrix into three parts: a low-rank common-source matrix generated…
Nodewise Loreg: Nodewise -penalized Regression for High-dimensional Sparse Precision Matrix Estimation
Hai Shu, Ziqi Chen, Yingjie Zhang +1
We propose Nodewise Loreg, a nodewise -penalized regression method for estimating high-dimensional sparse precision matrices. We establish its asymptotic properties, including…