
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Graph structured data has wide applicability in various domains such as ...
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GeomGCN: Geometric Graph Convolutional Networks
Messagepassing neural networks (MPNNs) have been successfully applied t...
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Generative Question Refinement with Deep Reinforcement Learning in Retrievalbased QA System
In realworld questionanswering (QA) systems, illformed questions, suc...
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Selfpaced Ensemble for Highly Imbalanced Massive Data Classification
Many realworld applications reveal difficulties in learning classifiers...
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Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
Predicting epidemic dynamics is of great value in understanding and cont...
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Feature Analysis and Selection for Training an EndtoEnd Autonomous Vehicle Controller Using the Deep Learning Approach
Deep learningbased approaches have been widely used for training contro...
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Augmenting Ordered Binary Decision Diagrams with Conjunctive Decomposition
This paper augments OBDD with conjunctive decomposition to propose a gen...
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Object Detection via Aspect Ratio and Context Aware Regionbased Convolutional Networks
Jointly integrating aspect ratio and context has been extensively studie...
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Guided Filter based Edgepreserving Image Nonblind Deconvolution
In this work, we propose a new approach for efficient edgepreserving im...
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An Adaptive Parameter Estimation for Guided Filter based Image Deconvolution
Image deconvolution is still to be a challenging illposed problem for r...
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Multiplex Structures: Patterns of Complexity in RealWorld Networks
Complex network theory aims to model and analyze complex systems that co...
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Optimal Sampling Points in Reproducing Kernel Hilbert Spaces
The recent developments of basis pursuit and compressed sensing seek to ...
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On Blockwise Symmetric Matchgate Signatures and Higher Domain #CSP
For any n≥ 3 and q≥ 3, we prove that the Equality function (=_n) on n ...
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Graph Bayesian Optimization: Algorithms, Evaluations and Applications
Network structure optimization is a fundamental task in complex network ...
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Low Cost Edge Sensing for High Quality Demosaicking
Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking...
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SelfAttention Recurrent Network for Saliency Detection
Feature maps in deep neural network generally contain different semantic...
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Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network
In this paper, we investigate optimal scheme to manage time scheduling o...
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Saliency guided deep network for weaklysupervised image segmentation
Weaklysupervised image segmentation is an important task in computer vi...
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SFA: Small Faces Attention Face Detector
In recent year, tremendous strides have been made in face detection than...
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JALAD: Joint Accuracy and LatencyAware Deep Structure Decoupling for EdgeCloud Execution
Recent years have witnessed a rapid growth of deepnetwork based service...
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Multiband Weighted l_p Norm Minimization for Color and Multispectral Image Denoising
Low rank matrix approximation (LRMA) has drawn increasing attention in r...
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Generalized Four Moment Theorem with an application to the CLT for the spiked eigenvalues of highdimensional general Fishermatrices
The universality for the local spiked eigenvalues is a powerful tool to ...
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Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks
In recent years, deep learning has achieved remarkable achievements in m...
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Deep Neural Architecture Search with Deep Graph Bayesian Optimization
Bayesian optimization (BO) is an effective method of finding the global ...
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Deep Bayesian Optimization on Attributed Graphs
Attributed graphs, which contain rich contextual features beyond just ne...
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An inverse acousticelastic interaction problem with phased or phaseless farfield data
Consider the scattering of a timeharmonic acoustic plane wave by a boun...
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Numerical study of vanishing and spreading dynamics of chemotaxis systems with logistic source and a free boundary
The current paper is to investigate the numerical approximation of logis...
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Decentralized Federated Learning: A Segmented Gossip Approach
The emerging concern about data privacy and security has motivated the p...
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Joint Extraction of Entities and Relations with a Hierarchical Multitask Tagging Model
Entity extraction and relation extraction are two indispensable building...
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A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations
Extracting relational triples from unstructured text is crucial for larg...
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Heuristic Blackbox Adversarial Attacks on Video Recognition Models
We study the problem of attacking video recognition models in the black...
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Robust Learningbased Predictive Control for Constrained Nonlinear Systems
The integration of machine learning methods and Model Predictive Control...
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Reconstruction of acoustic sources from multifrequency phaseless farfield data
We consider the inverse source problem of determining an acoustic source...
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Deep Representation Learning on Longtailed Data: A Learnable Embedding Augmentation Perspective
This paper considers learning deep features from longtailed data. We ob...
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Jilin University
Jilin University located in Changchun, founded in 1946, is a leading national research university under the direct jurisdiction of China's Ministry of Education.