Area of research
Cognitive Neuroscience · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Functional Brain Connectivity Studies, Neural dynamics and brain function, Advanced Neuroimaging Techniques and Applications, and Blind Source Separation Techniques.
A group distributional ICA method for decomposing multi-subject diffusion tensor imaging.
Correction to: Safety and immunogenicity of SARS-CoV-2 vaccines in Chinese patients with cirrhosis: a prospective multicenter study
Sparse Bayesian modeling of hierarchical independent component analysis: Reliable estimation of individual differences in brain networks.
Simultaneous cluster structure learning and estimation of heterogeneous graphs for matrix-variate fMRI data.
Tensor response quantile regression with neuroimaging data.
IDDF2023-ABS-0075 A prospective, multicenter study of minimal hepatic encephalopathy prevalence and relationship with quality of life in patients with cirrhosis in china
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
Safety and immunogenicity of SARS-CoV-2 vaccines in Chinese patients with cirrhosis: a prospective multicenter study
scRNA-seq reveals ATPIF1 activity in control of T cell antitumor activity
Distributional independent component analysis for diverse neuroimaging modalities.
Rejoinder to discussions of "distributional independent component analysis for diverse neuroimaging modalities".
Efficient detection and post-surgical monitoring of colon cancer with a multi-marker DNA methylation liquid biopsy
Safety and Immunogenicity of SARS-CoV-2 Vaccines in Patients With Chronic Liver Diseases (CHESS-NMCID 2101): A Multicenter Study
Association of Blood Donor Sex and Age With Outcomes in Very Low-Birth-Weight Infants Receiving Blood Transfusion
Long non‑coding RNA OIP5‑AS1 promotes the progression of esophageal cancer by regulating miR‑30a/VOPP1 expression
Nonparametric estimation of broad sense agreement between ordinal and censored continuous outcomes.
Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors
A hierarchical independent component analysis model for longitudinal neuroimaging studies
A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data
A difference degree test for comparing brain networks
A difference degree test for comparing brain networks.
Statistical methods for characterizing transfusion-related changes in regional oxygenation using near-infrared spectroscopy (NIRS) in preterm infants.
Long non-coding RNA CCRR controls cardiac conduction via regulating intercellular coupling
Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge
Estimating dynamic brain functional networks using multi-subject fMRI data
nderstanding the Association of Internalized HIV Stigma with Retention in HIV Care
Overexpression of RCC2 Enhances Cell Motility and Promotes Tumor Metastasis in Lung Adenocarcinoma by Inducing Epithelial–Mesenchymal Transition
An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large Scale Brain Networks Using Partial Correlation
Investigating differences in brain functional networks using hierarchical covariate-adjusted independent component analysis
Predicting individual brain functional connectivity using a Bayesian hierarchical model