
Outlierrobust Kalman Filter in the Presence of Correlated Measurements
We consider the robust filtering problem for a statespace model with ou...
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MAT: MotionAware MultiObject Tracking
Modern multiobject tracking (MOT) systems usually model the trajectorie...
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Distance Encoding – Design Provably More Powerful Graph Neural Networks for Structural Representation Learning
Learning structural representations of node sets from graphstructured d...
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Refinements in Motion and Appearance for Online MultiObject Tracking
Modern multiobject tracking (MOT) system usually involves separated mod...
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Entity Context and Relational Paths for Knowledge Graph Completion
Knowledge graph completion aims to predict missing relations between ent...
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Unifying Graph Convolutional Neural Networks and Label Propagation
Label Propagation (LPA) and Graph Convolutional Neural Networks (GCN) ar...
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OutlierDetection Based Robust Information Fusion for Networked Systems
We consider state estimation for networked systems where measurements fr...
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An outlierrobust Kalman filter with mixture correntropy
We consider the robust filtering problem for a nonlinear statespace mod...
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Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
Knowledge graphs capture interlinked information between entities and th...
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Knowledgeaware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Knowledge graphs capture structured information and relations between a ...
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Knowledgeaware Graph Neural Networks with Label Smoothness Regularization for Recommendation
Knowledge graphs capture structured information and relations between a ...
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Knowledge Graph Convolutional Networks for Recommender Systems
To alleviate sparsity and cold start problem of collaborative filtering ...
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Lipschitz Generative Adversarial Nets
In this paper we study the convergence of generative adversarial network...
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MultiTask Feature Learning for Knowledge Graph Enhanced Recommendation
Collaborative filtering often suffers from sparsity and cold start probl...
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VisualTexual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks
User emotion analysis toward videos is to automatically recognize the ge...
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Modeling Local Dependence in Natural Language with Multichannel Recurrent Neural Networks
Recurrent Neural Networks (RNNs) have been widely used in processing nat...
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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
Adam is shown not being able to converge to the optimal solution in cert...
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Maximum Correntropy DerivativeFree Robust Kalman Filter and Smoother
We consider the problem of robust estimation involving filtering and smo...
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Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems
To address the sparsity and cold start problem of collaborative filterin...
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DKN: Deep KnowledgeAware Network for News Recommendation
Online news recommender systems aim to address the information explosion...
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SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
In online social networks people often express attitudes towards others,...
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Joint TopicSemanticaware Social Recommendation for Online Voting
Online voting is an emerging feature in social networks, in which users ...
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GraphGAN: Graph Representation Learning with Generative Adversarial Nets
The goal of graph representation learning is to embed each vertex in a g...
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Hongwei Wang
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