Ying Guo | DeepAI

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Hao Chen
339 publications
Yi Yang
329 publications
Bo Zhang
226 publications
Ziwei Liu
178 publications
Tao Chen
134 publications
Yue Yu
98 publications
Dong Liu
95 publications
Lei Liu
82 publications
Chengjie Wang
70 publications
Wei Dai
62 publications
Lifang He
60 publications

∙ 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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