
FACESEC: A Finegrained Robustness Evaluation Framework for Face Recognition Systems
We present FACESEC, a framework for finegrained robustness evaluation o...
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Unsupervised Document Embedding via Contrastive Augmentation
We present a contrasting learning approach with data augmentation techni...
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Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Forecasting on sparse multivariate time series (MTS) aims to model the p...
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Learning to Drop: Robust Graph Neural Network via Topological Denoising
Graph Neural Networks (GNNs) have shown to be powerful tools for graph a...
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Parameterized Explainer for Graph Neural Network
Despite recent progress in Graph Neural Networks (GNNs), explaining pred...
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T^2Net: A Semisupervised Deep Model for Turbulence Forecasting
Accurate air turbulence forecasting can help airlines avoid hazardous tu...
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EBERT: A Phrase and Product Knowledge Enhanced Language Model for Ecommerce
Pretrained language models such as BERT have achieved great success in ...
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MultiScale OneClass Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
Discrete event sequences are ubiquitous, such as an ordered event series...
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SIGL: Securing Software Installations Through Deep Graph Learning
Many users implicitly assume that software can only be exploited after i...
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AutoOD: Automated Outlier Detection via Curiosityguided Search and Selfimitation Learning
Outlier detection is an important data mining task with numerous practic...
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Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Detecting anomalies in dynamic graphs is a vital task, with numerous pra...
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Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable ReviewBased Recommendation
Recently, recommender systems have been able to emit substantially impro...
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Heterogeneous Graph Matching Networks
Information systems have widely been the target of malware attacks. Trad...
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Learning Robust Representations with Graph Denoising Policy Network
Graph representation learning, aiming to learn lowdimensional represent...
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Adversarial Defense Framework for Graph Neural Network
Graph neural network (GNN), as a powerful representation learning model ...
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Deep Program Reidentification: A Graph Neural Network Solution
Program or process is an integral part of almost every IT/OT system. Can...
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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Nowadays, multivariate time series data are increasingly collected in va...
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A DualStage AttentionBased Recurrent Neural Network for Time Series Prediction
The Nonlinear autoregressive exogenous (NARX) model, which predicts the ...
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Haifeng Chen
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