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09/05/2023
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
Signed graphs are well-suited for modeling social networks as they captu...
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08/02/2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Graph anomaly detection (GAD) has achieved success and has been widely a...
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07/26/2023
Dual-Space Attacks against Random-Walk-based Anomaly Detection
Random Walks-based Anomaly Detection (RWAD) is commonly used to identify...
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07/24/2023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning
We investigate adversarial robustness of unsupervised Graph Contrastive ...
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02/17/2023
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks
A physics-informed neural network (PINN) embedded with the susceptible-i...
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02/01/2023
Simple yet Effective Gradient-Free Graph Convolutional Networks
Linearized Graph Neural Networks (GNNs) have attracted great attention i...
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11/08/2022
How Fraudster Detection Contributes to Robust Recommendation
The adversarial robustness of recommendation systems under node injectio...
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10/25/2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Recently, a lot of research attention has been devoted to exploring Web ...
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06/27/2022
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs
Signed graphs are widely used to model the trust relationships among use...
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06/16/2022
Adversarial Robustness of Graph-based Anomaly Detection
Graph-based anomaly detection is becoming prevalent due to the powerful ...
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03/01/2022
SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network
With the rapid development of smart manufacturing, data-driven machinery...
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03/01/2022
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals
With the rapid development of smart manufacturing, data-driven machinery...
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02/26/2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space
Anomalous sound detection (ASD) is one of the most significant tasks of ...
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02/26/2022
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering
Valves are widely used in industrial and domestic pipeline systems. Howe...
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12/20/2021
A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation
As an important application form of immersive multimedia services, free-...
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12/12/2021
Automatic differentiation approach for reconstructing spectral functions with neural networks
Reconstructing spectral functions from Euclidean Green's functions is an...
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11/29/2021
Reconstructing spectral functions via automatic differentiation
Reconstructing spectral functions from Euclidean Green's functions is an...
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09/19/2021
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction
Rolling bearings are subject to various faults due to its long-time oper...
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07/01/2021
Shared Data and Algorithms for Deep Learning in Fundamental Physics
We introduce a collection of datasets from fundamental physics research ...
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06/18/2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
Graph-based Anomaly Detection (GAD) is becoming prevalent due to the pow...
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11/30/2020
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk
As the COVID-19 pandemic continues to ravage the world, it is of critica...
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11/02/2020
Blocking Adversarial Influence in Social Networks
While social networks are widely used as a media for information diffusi...
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09/29/2020
Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains
Finite element model updating is challenging because 1) the problem is o...
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07/26/2020
Robust Collective Classification against Structural Attacks
Collective learning methods exploit relations among data points to enhan...
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05/07/2020
Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network
Uncertainties in a structure is inevitable, which generally lead to vari...
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04/16/2020
Structural Model Updating Using Adaptive Multi-Response Gaussian Process Meta-modeling
Finite element model updating utilizing frequency response functions as ...
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02/12/2020
Uncertainty Quantification of Mode Shape Variation Utilizing Multi-Level Multi-Response Gaussian Process
Mode shape information play the essential role in deciding the spatial p...
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01/23/2020
Bayesian estimates of transmission line outage rates that consider line dependencies
Transmission line outage rates are fundamental to power system reliabili...
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11/13/2019
Computing Equilibria in Binary Networked Public Goods Games
Public goods games study the incentives of individuals to contribute to ...
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09/03/2019
Adversarial Robustness of Similarity-Based Link Prediction
Link prediction is one of the fundamental problems in social network ana...
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08/09/2019
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Dynamic ensembling of classifiers is an effective approach in processing...
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07/10/2019
Multi-layer Attention Mechanism for Speech Keyword Recognition
As an important part of speech recognition technology, automatic speech ...
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09/22/2018
Adversarial Link Prediction in Social Networks
Link prediction is one of the fundamental tools in social network analys...
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09/12/2018
Security and Privacy Enhancement for Outsourced Biometric Identification
A lot of research has been focused on secure outsourcing of biometric id...
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09/01/2018
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network
Link prediction is one of the fundamental research problems in network a...
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01/08/2018
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing
Cloud computing has changed the way enterprises store, access and share ...
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11/14/2017
