b'Bo Yang'

research

∙ 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...

2 Zhanhong Yan, et al. ∙

research

∙ 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...

0 Zhuoxi Liu, et al. ∙

research

∙ 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...

0 Shen Ren, et al. ∙

research

∙ 10/20/2020

Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters

Distributed training techniques have been widely deployed in large-scale...

0 Shaohuai Shi, et al. ∙

research

∙ 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 ...

4 Cheng Yu, et al. ∙

research

∙ 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...

32 Xuelin Cao, et al. ∙

research

∙ 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...

0 Xuelin Cao, et al. ∙

research

∙ 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...

0 Xuelin Cao, et al. ∙

research

∙ 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 ...

0 Qiaoni Han, et al. ∙

research

∙ 04/21/2020

A Novel Graphic Bending Transformation on Benchmark

Classical benchmark problems utilize multiple transformation techniques ...

4 Fengyang Sun, et al. ∙

research

∙ 03/27/2020

GRATE: Granular Recovery of Aggregated Tensor Data by Example

In this paper, we address the challenge of recovering an accurate breakd...

0 Ahmed S. Zamzam, et al. ∙

research

∙ 02/13/2020

Geom-GCN: Geometric Graph Convolutional Networks

Message-passing neural networks (MPNNs) have been successfully applied t...

7 Hongbin Pei, et al. ∙

research

∙ 01/06/2020

A Block-based Generative Model for Attributed Networks Embedding

Attributed network embedding has attracted plenty of interests in recent...

17 Xueyan Liu, et al. ∙

research

∙ 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,...

0 Xianlong Tan, et al. ∙

research

∙ 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...

0 Songtao Lu, et al. ∙

research

∙ 05/31/2019

Deep Bayesian Optimization on Attributed Graphs

Attributed graphs, which contain rich contextual features beyond just ne...

0 Jiaxu Cui, et al. ∙

research

∙ 05/14/2019

Deep Neural Architecture Search with Deep Graph Bayesian Optimization

Bayesian optimization (BO) is an effective method of finding the global ...

0 Lizheng Ma, et al. ∙

research

∙ 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...

0 Chunxu Zhang, et al. ∙

research

∙ 03/26/2019

Energy Storage Management via Deep Q-Networks

Energy storage devices represent environmentally friendly candidates to ...

0 Ahmed S. Zamzam, et al. ∙

research

∙ 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...

0 Aleksei Fedorov, et al. ∙

research

∙ 01/06/2019

Learning Nonlinear Mixtures: Identifiability and Algorithm

Linear mixture models have proven very useful in a plethora of applicati...

0 Xiao Fu, et al. ∙

research

∙ 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...

0 Zhiyong Li, et al. ∙

research

∙ 11/29/2018

A New In-Situ Combustion Simulator for Parallel Computers

As a competitive recovery method for heavy oil, In-Situ Combustion (ISC)...

0 Ruijian He, et al. ∙

research

∙ 11/02/2018

Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network

Traffic prediction is a fundamental and vital task in Intelligence Trans...

0 Xiaoyu Wang, et al. ∙

research

∙ 10/26/2018

Content Protection in Named Data Networking: Challenges and Potential Solutions

Information-Centric Networks (ICN) are promising alternatives to current...

0 Yong Yu, et al. ∙

research

∙ 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...

0 Jun Li, et al. ∙

research

∙ 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...

0 Lihua Shen, et al. ∙

research

∙ 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...

0 He Zhong, et al. ∙

research

∙ 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...

0 Qianxiao Li, et al. ∙

research

∙ 05/03/2018

Graph Bayesian Optimization: Algorithms, Evaluations and Applications

Network structure optimization is a fundamental task in complex network ...

0 Jiaxu Cui, et al. ∙

research

∙ 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...

0 Yong Yu, et al. ∙

research

∙ 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...

0 Cheng Wang, et al. ∙

research

∙ 11/21/2017

Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics

Predicting epidemic dynamics is of great value in understanding and cont...

0 Hongbin Pei, et al. ∙

research

∙ 03/03/2017

Decoupled Block-Wise ILU(k) Preconditioner on GPU

This research investigates the implementation mechanism of block-wise IL...

0 Hui Liu, et al. ∙

research

∙ 08/15/2016

Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering

This paper considers volume minimization (VolMin)-based structured matri...

0 Xiao Fu, et al. ∙

research

∙ 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...

0 Hui Liu, et al. ∙

research

∙ 06/02/2016

Parallel Triangular Solvers on GPU

In this paper, we investigate GPU based parallel triangular solvers syst...

0 Zhangxin Chen, et al. ∙

research

∙ 05/21/2016

Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering

Dimensionality reduction techniques play an essential role in data analy...

0 Xiao Fu, et al. ∙

research

∙ 09/10/2010

Multiplex Structures: Patterns of Complexity in Real-World Networks

Complex network theory aims to model and analyze complex systems that co...

0 Jiming Liu, et al. ∙

Bo Yang

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