Search Results for author: Ying Guo

Found 9 papers, 4 papers with code

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

1 code implementation25 May 2022 Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

In particular, we formulate (1) prominent region of interest (ROI) features extraction, (2) brain networks generation, and (3) clinical predictions with GNNs, in an end-to-end trainable model under the guidance of particular prediction tasks.

Time Series

Identifying Critical LMS Features for Predicting At-risk Students

no code implementations27 Apr 2022 Ying Guo, Cengiz Gunay, Sairam Tangirala, David Kerven, Wei Jin, Jamye Curry Savage, Seungjin Lee

Unsupervised learning was also used to group students into different clusters based on the similarities in their interaction/involvement with LMS.

Generating Transferable Adversarial Patch by Simultaneously Optimizing its Position and Perturbations

no code implementations29 Sep 2021 Xingxing Wei, Ying Guo, Jie Yu, Huanqian Yan, Bo Zhang

In this paper, we propose a method to simultaneously optimize the position and perturbation to generate transferable adversarial patches, and thus obtain high attack success rates in the black-box setting.

Face Recognition

Effective and Interpretable fMRI Analysis via Functional Brain Network Generation

no code implementations23 Jul 2021 Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

Recent studies in neuroscience show great potential of functional brain networks constructed from fMRI data for popularity modeling and clinical predictions.

Improving Adversarial Transferability with Gradient Refining

1 code implementation11 May 2021 Guoqiu Wang, Huanqian Yan, Ying Guo, Xingxing Wei

To improve the transferability of adversarial examples for the black-box setting, several methods have been proposed, e. g., input diversity, translation-invariant attack, and momentum-based attack.

Adversarial Attack Translation

Meaningful Adversarial Stickers for Face Recognition in Physical World

no code implementations14 Apr 2021 Ying Guo, Xingxing Wei, Guoqiu Wang, Bo Zhang

Face recognition (FR) systems have been widely applied in safety-critical fields with the introduction of deep learning.

Face Recognition Time Series

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

no code implementations19 Aug 2020 Yikai Wang, Ying Guo

In this paper, we propose a novel blind source separation method with low-rank structure and uniform sparsity (LOCUS) as a fully data-driven decomposition method for network measures.

Cannot find the paper you are looking for? You can Submit a new open access paper.