research
∙
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...
share
research
∙
07/26/2023
Controllable Guide-Space for Generalizable Face Forgery Detection
Recent studies on face forgery detection have shown satisfactory perform...
research
∙
06/05/2023
R-Mixup: Riemannian Mixup for Biological Networks
Biological networks are commonly used in biomedical and healthcare domai...
research
∙
05/06/2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis
Brain networks, graphical models such as those constructed from MRI, hav...
research
∙
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 ...
research
∙
10/13/2022
Brain Network Transformer
Human brains are commonly modeled as networks of Regions of Interest (RO...
research
∙
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...
research
∙
06/09/2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Brain networks characterize complex connectivities among brain regions a...
research
∙
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...
research
∙
04/27/2022
Identifying Critical LMS Features for Predicting At-risk Students
Learning management systems (LMSs) have become essential in higher educa...
research
∙
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...
research
∙
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...
research
∙
07/23/2021
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
Recent studies in neuroscience show great potential of functional brain ...
research
∙
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...
research
∙
05/11/2021
Improving Adversarial Transferability with Gradient Refining
Deep neural networks are vulnerable to adversarial examples, which are c...
research
∙
04/14/2021
Meaningful Adversarial Stickers for Face Recognition in Physical World
Face recognition (FR) systems have been widely applied in safety-critica...
research
∙
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...
research
∙
03/05/2020
Linear-Time Parameterized Algorithms with Limited Local Resources
We propose a new (theoretical) computational model for the study of mass...
research
∙
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...
research
∙
09/28/2018
A Differential Degree Test for Comparing Brain Networks
Recently, graph theory has become a popular method for characterizing br...
research
∙
08/05/2018
A hierarchical independent component analysis model for longitudinal Neuroimaging studies
In recent years, longitudinal neuroimaging study has become increasingly...
research
∙
03/20/2018
HINT: A Hierarchical Independent Component Analysis Toolbox for Neuroimaging
The modular behavior of the human brain is commonly investigated using i...
research
∙
03/20/2018
HINT: A Toolbox for Hierarchical Modeling of Neuroimaging Data
The modular behavior of the human brain is commonly investigated using i...
research
∙
02/21/2018
Integrative Bayesian Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Recently, there has been increased interest in fusing multimodal imaging...
research
∙
01/24/2018
