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11/15/2020
Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System
Haptic guidance in a shared steering assistance system has drawn signifi...
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10/29/2020
Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning
In this article, the authors present a novel method to learn the persona...
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10/22/2020
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning
The future of mobility-as-a-Service (Maas)should embrace an integrated s...
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10/20/2020
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Distributed training techniques have been widely deployed in large-scale...
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10/13/2020
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization
Estimating 3D human poses from a monocular video is still a challenging ...
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08/18/2020
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs
The empowering unmanned aerial vehicles (UAVs) have been extensively use...
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06/29/2020
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach
Multi-access edge computing (MEC) has already shown the potential in ena...
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06/27/2020
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework
This letter proposes an edge learning-based offloading framework for aut...
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06/07/2020
Green Resource Allocation and Energy Management in Heterogeneous Small Cell Networks Powered by Hybrid Energy
In heterogeneous networks (HetNets), how to improve spectrum efficiency ...
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04/21/2020
A Novel Graphic Bending Transformation on Benchmark
Classical benchmark problems utilize multiple transformation techniques ...
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03/27/2020
GRATE: Granular Recovery of Aggregated Tensor Data by Example
In this paper, we address the challenge of recovering an accurate breakd...
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02/13/2020
Geom-GCN: Geometric Graph Convolutional Networks
Message-passing neural networks (MPNNs) have been successfully applied t...
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01/06/2020
A Block-based Generative Model for Attributed Networks Embedding
Attributed network embedding has attracted plenty of interests in recent...
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11/26/2019
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment
Automatic Speech Recognition (ASR) is greatly developed in recent years,...
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07/09/2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems
This paper proposes low-complexity algorithms for finding approximate se...
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05/31/2019
Deep Bayesian Optimization on Attributed Graphs
Attributed graphs, which contain rich contextual features beyond just ne...
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05/14/2019
Deep Neural Architecture Search with Deep Graph Bayesian Optimization
Bayesian optimization (BO) is an effective method of finding the global ...
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05/06/2019
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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03/26/2019
Energy Storage Management via Deep Q-Networks
Energy storage devices represent environmentally friendly candidates to ...
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02/11/2019
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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01/06/2019
Learning Nonlinear Mixtures: Identifiability and Algorithm
Linear mixture models have proven very useful in a plethora of applicati...
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12/19/2018
Non-cooperative game approach for task offloading in edge clouds
Task offloading provides a promising way to enhance the capability of th...
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11/29/2018
A New In-Situ Combustion Simulator for Parallel Computers
As a competitive recovery method for heavy oil, In-Situ Combustion (ISC)...
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11/02/2018
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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10/26/2018
Content Protection in Named Data Networking: Challenges and Potential Solutions
Information-Centric Networks (ICN) are promising alternatives to current...
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08/22/2018
Towards A Deep Insight into Landmark-based Visual Place Recognition: Methodology and Practice
In this paper, we address the problem of landmark-based visual place rec...
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08/13/2018
Numerical Simulation of Two-phase Flow in Natural Fractured Reservoirs Using Dual Porosity Method on Parallel Computers
The two-phase oil-water flow in natural fractured reservoirs and its num...
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07/13/2018
Numerical Simulations of Polymer Flooding Process in Porous Media on Distributed-memory Parallel Computers
Polymer flooding is a mature enhanced oil recovery technique that has be...
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07/10/2018
Dynamics of Taxi-like Logistics Systems: Theory and Microscopic Simulations
In this paper we study the dynamics of a class of bi-agent logistics sys...
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05/03/2018
Graph Bayesian Optimization: Algorithms, Evaluations and Applications
Network structure optimization is a fundamental task in complex network ...
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04/09/2018
Assured Data Deletion with Fine-grained Access Control for Fog-based Industrial Applications
The advances of cloud computing, fog computing and Internet of Things (I...
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01/21/2018
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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11/21/2017
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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03/03/2017
Decoupled Block-Wise ILU(k) Preconditioner on GPU
This research investigates the implementation mechanism of block-wise IL...
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08/15/2016
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
This paper considers volume minimization (VolMin)-based structured matri...
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06/02/2016
Development of Krylov and AMG linear solvers for large-scale sparse matrices on GPUs
This research introduce our work on developing Krylov subspace and AMG s...
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06/02/2016
Parallel Triangular Solvers on GPU
In this paper, we investigate GPU based parallel triangular solvers syst...
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05/21/2016
Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering
Dimensionality reduction techniques play an essential role in data analy...
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09/10/2010
