576 citations · 1.1k across the 42 of their papers we have counts for
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Integrative Factor Regression and Its Inference for Multimodal Data Analysis
Quefeng Li, Lexin Li
Multimodal data, where different types of data are collected from the same subjects, are fast emerging in a large variety of scientific applications. Factor analysis is commonly us…
Multimodal Neuroimaging Data Integration and Pathway Analysis
Yi Zhao, Lexin Li, Brian S. Caffo
With fast advancements in technologies, the collection of multiple types of measurements on a common set of subjects is becoming routine in science. Some notable examples include m…
Paired Test of Matrix Graphs and Brain Connectivity Analysis
Yuting Ye, Yin Xia, Lexin Li
Inferring brain connectivity network and quantifying the significance of interactions between brain regions are of paramount importance in neuroscience. Although there have recentl…
Hypothesis Testing for Network Data with Power Enhancement
Yin Xia, Lexin Li
Comparing two population means of network data is of paramount importance in a wide range of scientific applications. Many existing network inference solutions focus on global test…
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks
Qingyang Wu, He Li, Lexin Li +1
With the widespread success of deep neural networks in science and technology, it is becoming increasingly important to quantify the uncertainty of the predictions produced by deep…