Zhengwu Zhang | DeepAI

AI Chat

Featured Co-authors

Xiao Wang
144 publications
Lu Wang
104 publications
David B. Dunson
94 publications
George Michailidis
47 publications
Junbin Gao
45 publications
David Dunson
40 publications
Debdeep Pati
35 publications
Hongtu Zhu
33 publications
Genevera I. Allen
33 publications
Linglong Kong
31 publications
Anirban Bhattacharya
31 publications

∙ 08/10/2023

Continuous and Atlas-free Analysis of Brain Structural Connectivity

Brain structural networks are often represented as discrete adjacency ma...

0 William Consagra, et al. ∙

∙ 05/25/2023

High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis

There is increasing interest in modeling high-dimensional longitudinal o...

0 Lu Wang, et al. ∙

∙ 04/27/2023

Diffusion MRI Prediction and Harmonization through Q-space Modeling

We propose a novel nonparametric model for diffusion MRI signal in q-spa...

0 Arkaprava Roy, et al. ∙

∙ 12/02/2022

Genetic underpinnings of brain structural connectome for young adults

With distinct advantages in power over behavioral phenotypes, brain imag...

0 Yize Zhao, et al. ∙

∙ 11/01/2022

Tree Representations of Brain Structural Connectivity via Persistent Homology

The brain structural connectome is generated by a collection of white ma...

0 Didong Li, et al. ∙

∙ 06/22/2022

Analyzing Brain Structural Connectivity as Continuous Random Functions

This work considers a continuous framework to characterize the populatio...

0 William Consagra, et al. ∙

∙ 05/12/2022

Outlier Detection for Multi-Network Data

It has become routine in neuroscience studies to measure brain networks ...

0 Pritam Dey, et al. ∙

∙ 04/04/2022

Low Tree-Rank Bayesian Vector Autoregression Model

Vector autoregressions have been widely used for modeling and analysis o...

0 Zeyu Yuwen, et al. ∙

∙ 07/29/2021

Amplitude Mean of Functional Data on 𝕊^2

Manifold-valued functional data analysis (FDA) recently becomes an activ...

0 Zhengwu Zhang, et al. ∙

∙ 02/24/2021

Optimized Diffusion Imaging for Brain Structural Connectome Analysis

High angular resolution diffusion imaging (HARDI), a type of diffusion m...

0 William Consagra, et al. ∙

∙ 12/19/2020

High-Dimensional Spatial Quantile Function-on-Scalar Regression

This paper develops a novel spatial quantile function-on-scalar regressi...

0 Zhengwu Zhang, et al. ∙

∙ 10/08/2020

Multivariate functional responses low rank regression with an application to brain imaging data

We propose a multivariate functional responses low rank regression model...

0 Xiucai Ding, et al. ∙

∙ 10/05/2020

Multi-scale graph principal component analysis for connectomics

In brain connectomics, the cortical surface is parcellated into differen...

0 Steven Winter, et al. ∙

∙ 11/07/2019

Auto-encoding graph-valued data with applications to brain connectomes

Our interest focuses on developing statistical methods for analysis of b...

23 Meimei Liu, et al. ∙

∙ 10/21/2019

Soft Tensor Regression

Statistical methods relating tensor predictors to scalar outcomes in a r...

0 Georgia Papadogeorgou, et al. ∙

∙ 08/15/2019

Learning Signal Subgraphs from Longitudinal Brain Networks with Symmetric Bilinear Logistic Regression

Modern neuroimaging technologies, combined with state-of-the-art data pr...

0 Lu Wang, et al. ∙

∙ 04/26/2019

Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects

This paper studies change-points in human brain functional connectivity ...

0 Mengyu Dai, et al. ∙

∙ 04/10/2019

Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices

Human brain functional connectivity (FC) is often measured as the simila...

0 Mengyu Dai, et al. ∙

∙ 11/02/2018

Bayesian Hierarchical Modeling on Covariance Valued Data

Analysis of structural and functional connectivity (FC) of human brains ...

0 Satwik Acharyya, et al. ∙

∙ 06/07/2018

Tensor network factorizations: Relationships between brain structural connectomes and traits

Advanced brain imaging techniques make it possible to measure individual...

0 Zhengwu Zhang, et al. ∙

∙ 05/11/2018

Robust Comparison of Kernel Densities on Spherical Domains

While spherical data arises in many contexts, including in directional s...

0 Zhengwu Zhang, et al. ∙

∙ 04/25/2018

Symmetric Bilinear Regression for Signal Subgraph Estimation

There is increasing interest in learning a set of small outcome-relevant...

0 Lu Wang, et al. ∙

∙ 07/20/2017

Common and Individual Structure of Multiple Networks

This article focuses on the problem of studying shared- and individual-s...

0 Lu Wang, et al. ∙

∙ 01/05/2016

Low-Rank Representation over the Manifold of Curves

In machine learning it is common to interpret each data point as a vecto...

0 Stephen Tierney, et al. ∙

∙ 04/01/2015

Bayesian Clustering of Shapes of Curves

Unsupervised clustering of curves according to their shapes is an import...

0 Zhengwu Zhang, et al. ∙

∙ 03/23/2015

Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories

Statistical classification of actions in videos is mostly performed by e...

0 Zhengwu Zhang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world