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07/20/2023
Spectral co-Clustering in Rank-deficient Multi-layer Stochastic co-Block Models
Modern network analysis often involves multi-layer network data in which...
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03/30/2023
Hierarchical Fine-Grained Image Forgery Detection and Localization
Differences in forgery attributes of images generated in CNN-synthesized...
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01/06/2023
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks
Identifying functional connectivity biomarkers of major depressive disor...
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08/23/2022
Multi-domain Learning for Updating Face Anti-spoofing Models
In this work, we study multi-domain learning for face anti-spoofing(MD-F...
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06/30/2022
On the efficacy of higher-order spectral clustering under weighted stochastic block models
Higher-order structures of networks, namely, small subgraphs of networks...
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01/01/2021
MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies
The ability to capture complex linguistic structures and long-term depen...
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07/05/2020
CORD19STS: COVID-19 Semantic Textual Similarity Dataset
In order to combat the COVID-19 pandemic, society can benefit from vario...
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04/25/2020
Randomized spectral co-clustering for large-scale directed networks
Directed networks are generally used to represent asymmetric relationshi...
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02/10/2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision
The rapid development of unmanned aerial vehicles (UAV) puts forward a h...
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02/10/2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q network with monocular vision
The fast developing of unmanned aerial vehicle(UAV) brings forward the h...
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01/20/2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Spectral clustering has been one of the widely used methods for communit...
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09/06/2019
Differentially Private Precision Matrix Estimation
In this paper, we study the problem of precision matrix estimation when ...
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02/20/2019
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Human motion prediction from motion capture data is a classical problem ...
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10/02/2018
