
A Blockbased Generative Model for Attributed Networks Embedding
Attributed network embedding has attracted plenty of interests in recent...
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RandLANet: Efficient Semantic Segmentation of LargeScale Point Clouds
We study the problem of efficient semantic segmentation for largescale ...
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GeomGCN: Geometric Graph Convolutional Networks
Messagepassing neural networks (MPNNs) have been successfully applied t...
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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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3D Object Reconstruction from a Single Depth View with Adversarial Learning
In this paper, we propose a novel 3DRecGAN approach, which reconstructs...
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Robust Volume MinimizationBased Matrix Factorization for Remote Sensing and Document Clustering
This paper considers volume minimization (VolMin)based structured matri...
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Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering
Dimensionality reduction techniques play an essential role in data analy...
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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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Composite Behavioral Modeling for Identity Theft Detection in Online Social Networks
In this work, we aim at building a bridge from poor behavioral data to a...
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3D Object Dense Reconstruction from a Single Depth View
In this paper, we propose a novel approach, 3DRecGAN++, which reconstru...
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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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3DPhysNet: Learning the Intuitive Physics of NonRigid Object Deformations
The ability to interact and understand the environment is a fundamental ...
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Assured Data Deletion with Finegrained Access Control for Fogbased Industrial Applications
The advances of cloud computing, fog computing and Internet of Things (I...
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DefoNet: Learning Body Deformation using Generative Adversarial Networks
Modelling the physical properties of everyday objects is a fundamental p...
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Parallel Triangular Solvers on GPU
In this paper, we investigate GPU based parallel triangular solvers syst...
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Development of Krylov and AMG linear solvers for largescale sparse matrices on GPUs
This research introduce our work on developing Krylov subspace and AMG s...
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Numerical Simulation of Twophase Flow in Natural Fractured Reservoirs Using Dual Porosity Method on Parallel Computers
The twophase oilwater flow in natural fractured reservoirs and its num...
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Attentional Aggregation of Deep Feature Sets for Multiview 3D Reconstruction
We study the problem of recovering an underlying 3D shape from a set of ...
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Towards A Deep Insight into Landmarkbased Visual Place Recognition: Methodology and Practice
In this paper, we address the problem of landmarkbased visual place rec...
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Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network
Traffic prediction is a fundamental and vital task in Intelligence Trans...
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Content Protection in Named Data Networking: Challenges and Potential Solutions
InformationCentric Networks (ICN) are promising alternatives to current...
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Numerical Simulations of Polymer Flooding Process in Porous Media on Distributedmemory Parallel Computers
Polymer flooding is a mature enhanced oil recovery technique that has be...
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Learning Nonlinear Mixtures: Identifiability and Algorithm
Linear mixture models have proven very useful in a plethora of applicati...
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Dynamics of Taxilike Logistics Systems: Theory and Microscopic Simulations
In this paper we study the dynamics of a class of biagent logistics sys...
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Energy Storage Management via Deep QNetworks
Energy storage devices represent environmentally friendly candidates to ...
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Full Downlink Channel Reconstruction using Incomplete Uplink Channel Measurements in Massive MIMO networks
While more and more antennas are integrated into single mobile user equi...
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Decoupled BlockWise ILU(k) Preconditioner on GPU
This research investigates the implementation mechanism of blockwise IL...
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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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Noncooperative game approach for task offloading in edge clouds
Task offloading provides a promising way to enhance the capability of th...
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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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Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
We propose a novel, conceptually simple and general framework for instan...
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A New InSitu Combustion Simulator for Parallel Computers
As a competitive recovery method for heavy oil, InSitu Combustion (ISC)...
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DeepPCO: EndtoEnd Point Cloud Odometry through Deep Parallel Neural Network
Odometry is of key importance for localization in the absence of a map. ...
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SNAP: Finding Approximate SecondOrder Stationary Solutions Efficiently for Nonconvex Linearly Constrained Problems
This paper proposes lowcomplexity algorithms for finding approximate se...
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ATCSpeech: a multilingual pilotcontroller speech corpus from real Air Traffic Control environment
Automatic Speech Recognition (ASR) is greatly developed in recent years,...
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