Ying Guo | DeepAI

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∙ 09/05/2023

Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis

Recent neuroimaging studies have highlighted the importance of network-c...

0 Xuan Kan, et al. ∙

∙ 07/26/2023

Controllable Guide-Space for Generalizable Face Forgery Detection

Recent studies on face forgery detection have shown satisfactory perform...

0 Ying Guo, et al. ∙

∙ 06/05/2023

R-Mixup: Riemannian Mixup for Biological Networks

Biological networks are commonly used in biomedical and healthcare domai...

6 Xuan Kan, et al. ∙

∙ 05/06/2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis

Brain networks, graphical models such as those constructed from MRI, hav...

35 Wei Dai, et al. ∙

∙ 12/26/2022

Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

Adversarial patch is an important form of real-world adversarial attack ...

0 Xingxing Wei, et al. ∙

∙ 10/13/2022

Brain Network Transformer

Human brains are commonly modeled as networks of Regions of Interest (RO...

15 Xuan Kan, et al. ∙

∙ 07/27/2022

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

In this paper, we present the Multi-Forgery Detection Challenge held con...

2 Jianshu Li, et al. ∙

∙ 06/09/2022

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning

Brain networks characterize complex connectivities among brain regions a...

13 Yi Yang, et al. ∙

∙ 05/25/2022

FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation

Functional magnetic resonance imaging (fMRI) is one of the most common i...

17 Xuan Kan, et al. ∙

∙ 04/27/2022

Identifying Critical LMS Features for Predicting At-risk Students

Learning management systems (LMSs) have become essential in higher educa...

0 Ying Guo, et al. ∙

∙ 03/17/2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Mapping the connectome of the human brain using structural or functional...

0 Hejie Cui, et al. ∙

∙ 10/09/2021

Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data

Graphical models play an important role in neuroscience studies, particu...

0 Dong Liu, et al. ∙

∙ 07/23/2021

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation

Recent studies in neuroscience show great potential of functional brain ...

0 Xuan Kan, et al. ∙

∙ 06/07/2021

Joint Learning of Multiple Differential Networks with fMRI data for Brain Connectivity Alteration Detection

In this study we focus on the problem of joint learning of multiple diff...

0 Hao Chen, et al. ∙

∙ 05/11/2021

Improving Adversarial Transferability with Gradient Refining

Deep neural networks are vulnerable to adversarial examples, which are c...

0 Guoqiu Wang, et al. ∙

∙ 04/14/2021

Meaningful Adversarial Stickers for Face Recognition in Physical World

Face recognition (FR) systems have been widely applied in safety-critica...

0 Ying Guo, et al. ∙

∙ 08/19/2020

LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity

Network-oriented research has been increasingly popular in many scientif...

11 Yikai Wang, et al. ∙

∙ 03/05/2020

Linear-Time Parameterized Algorithms with Limited Local Resources

We propose a new (theoretical) computational model for the study of mass...

0 Jianer Chen, et al. ∙

∙ 06/17/2019

Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors

Large brain imaging databases contain a wealth of information on brain o...

0 Amanda F. Mejia, et al. ∙

∙ 09/28/2018

A Differential Degree Test for Comparing Brain Networks

Recently, graph theory has become a popular method for characterizing br...

0 Ixavier A. Higgins, et al. ∙

∙ 08/05/2018

A hierarchical independent component analysis model for longitudinal Neuroimaging studies

In recent years, longitudinal neuroimaging study has become increasingly...

0 Yikai Wang, et al. ∙

∙ 03/20/2018

HINT: A Hierarchical Independent Component Analysis Toolbox for Neuroimaging

The modular behavior of the human brain is commonly investigated using i...

0 Joshua Lukemire, et al. ∙

∙ 03/20/2018

HINT: A Toolbox for Hierarchical Modeling of Neuroimaging Data

The modular behavior of the human brain is commonly investigated using i...

0 Joshua Lukemire, et al. ∙

∙ 02/21/2018

Integrative Bayesian Analysis of Brain Functional Networks Incorporating Anatomical Knowledge

Recently, there has been increased interest in fusing multimodal imaging...

0 Ixavier A. Higgins, et al. ∙

∙ 01/24/2018

Statistical methods for characterizing transfusion-related changes in regional oxygenation using Near-infrared spectroscopy (NIRS) in preterm infants

Near infrared spectroscopy (NIRS) is an imaging-based diagnostic tool th...

0 Ying Guo, et al. ∙

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