
GraphBert: Only Attention is Needed for Learning Graph Representations
The dominant graph neural networks (GNNs) overrely on the graph links, ...
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A Binary Regression Adaptive Goodnessoffit Test (BAGofT)
The Pearson's χ^2 test and residual deviance test are two classical good...
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IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Deep learning models have achieved huge success in numerous fields, such...
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JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Crossdomain recommendation can alleviate the data sparsity problem in r...
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Learning Dual Convolutional Neural Networks for LowLevel Vision
In this paper, we propose a general dual convolutional neural network (D...
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PhysicsBased Generative Adversarial Models for Image Restoration and Beyond
We present an algorithm to directly solve numerous image restoration pro...
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Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph SemiSupervised Classification
Existing graph neural networks may suffer from the "suspended animation ...
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NPGLM: A NonParametric Method for Temporal Link Prediction
In this paper, we try to solve the problem of temporal link prediction i...
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BicycleSharing System Analysis and Trip Prediction
Bicyclesharing systems, which can provide shared bike usage services fo...
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Learning Fully Convolutional Networks for Iterative Nonblind Deconvolution
In this paper, we propose a fully convolutional networks for iterative n...
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3D Hand Pose Tracking and Estimation Using Stereo Matching
3D hand pose tracking/estimation will be very important in the next gene...
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RGBD Salient Object Detection via Deep Fusion
Numerous efforts have been made to design different low level saliency c...
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Contaminant Removal for Android Malware Detection Systems
A recent report indicates that there is a new malicious app introduced e...
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Gated Fusion Network for Single Image Dehazing
In this paper, we propose an efficient algorithm to directly restore a c...
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Social Network Fusion and Mining: A Survey
Looking from a global perspective, the landscape of online social networ...
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Learning SelfieFriendly Abstraction from Artistic Style Images
Artistic style transfer can be thought as a process to generate differen...
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LATTE: Application Oriented Network Embedding
In recent years, many research works propose to embed the networked data...
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rinstance Learning for Missing People Tweets Identification
The number of missing people (i.e., people who get lost) greatly increas...
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SEGEN: SampleEnsemble Genetic Evolutional Network Model
Deep learning, a rebranding of deep neural network research works, has a...
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BLECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion
Employees in companies can be divided into di erent communities, and tho...
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BLMNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder
Network embedding aims at projecting the network data into a lowdimensi...
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LATTE: Application Oriented Social Network Embedding
In recent years, many research works propose to embed the network struct...
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CREST: Convolutional Residual Learning for Visual Tracking
Discriminative correlation filters (DCFs) have been shown to perform sup...
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TICNN: Convolutional Neural Networks for Fake News Detection
With the development of social networks, fake news for various commercia...
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Learning to Hallucinate Face Images via Component Generation and Enhancement
We propose a twostage method for face hallucination. First, we generate...
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On Deep Ensemble Learning from a Function Approximation Perspective
In this paper, we propose to provide a general ensemble learning framewo...
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GADAM: GeneticEvolutionary ADAM for Deep Neural Network Optimization
Deep neural network learning can be formulated as a nonconvex optimizat...
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Fast Preprocessing for Robust Face Sketch Synthesis
Exemplarbased face sketch synthesis methods usually meet the challengin...
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GEN Model: An Alternative Approach to Deep Neural Network Models
In this paper, we introduce an alternative approach, namely GEN (Genetic...
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Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models
In this paper, we aim at introducing a new machine learning model, namel...
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Deep Loopy Neural Network Model for Graph Structured Data Representation Learning
Existing deep learning models may encounter great challenges in handling...
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Optimal Design of Process Flexibility for General Production Systems
Process flexibility is widely adopted as an effective strategy for respo...
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EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model
Programming has been an important skill for researchers and practitioner...
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Fake News Detection with Deep Diffusive Network Model
In recent years, due to the booming development of online social network...
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Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach
Human trafficking is a serious social problem, and it is challenging mai...
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Unsupervised Image SuperResolution using CycleinCycle Generative Adversarial Networks
We consider the single image superresolution problem in a more general ...
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A SelfOrganizing Tensor Architecture for MultiView Clustering
In many realworld applications, data are often unlabeled and comprised ...
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Datadriven Blockbuster Planning on Online Movie Knowledge Library
In the era of big data, logistic planning can be made datadriven to tak...
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Manifold: A ModelAgnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Interpretation and diagnosis of machine learning models have gained rene...
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Spectral Collaborative Filtering
Despite the popularity of Collaborative Filtering (CF), CFbased methods...
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Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement
We address the problem of restoring a highresolution face image from a ...
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MDUNet: Multiscale Densely Connected UNet for biomedical image segmentation
Radiologist is "doctor's doctor", biomedical image segmentation plays a ...
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Gradient Descent based Optimization Algorithms for Deep Learning Models Training
In this paper, we aim at providing an introduction to the gradient desce...
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DAVANet: Stereo Deblurring with View Aggregation
Nowadays stereo cameras are more commonly adopted in emerging devices su...
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DerivativeFree Global Optimization Algorithms: Population based Methods and Random Search Approaches
In this paper, we will provide an introduction to the derivativefree op...
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DerivativeFree Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches
In this paper, we will provide an introduction to the derivativefree op...
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SpatioTemporal Filter Adaptive Network for Video Deblurring
Video deblurring is a challenging task due to the spatially variant blur...
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A General O(n^2) HyperParameter Optimization for Gaussian Process Regression with CrossValidation and Nonlinearly Constrained ADMM
Hyperparameter optimization remains as the core issue of Gaussian proce...
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Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Embeddings are a fundamental component of many modern machine learning a...
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DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization
Optimization algorithms with momentum, e.g., Nesterov Accelerated Gradie...
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