434 citations · 1.2k across the 11 of their papers we have counts for
11 papers
GSmart: An Efficient SPARQL Query Engine Using Sparse Matrix Algebra -- Full Version
Yuedan Chen, M. Tamer Özsu, Guoqing Xiao +2
Efficient execution of SPARQL queries over large RDF datasets is a topic of considerable interest due to increased use of RDF to encode data. Most of this work has followed either…
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
Jianguo Chen, Kenli Li, Zhaolei Zhang +2
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions…
HPC AI500: A Benchmark Suite for HPC AI Systems
Zihan Jiang, Wanling Gao, Lei Wang +10
In recent years, with the trend of applying deep learning (DL) in high performance scientific computing, the unique characteristics of emerging DL workloads in HPC raise great chal…
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing
Jianguo Chen, Kenli Li, Qingying Deng +2
In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using Deep Learning (DL) algorithms and deploy it in an edge computing environment. We establis…
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning
Jianguo Chen, Kenli Li, Kashif Bilal +3
Protein interactions constitute the fundamental building block of almost every life activity. Identifying protein communities from Protein-Protein Interaction (PPI) networks is ess…
A Parallel Patient Treatment Time Prediction Algorithm and its Applications in Hospital Queuing-Recommendation in a Big Data Environment
Jianguo Chen, Kenli Li, Zhuo Tang +2
Effective patient queue management to minimize patient wait delays and patient overcrowding is one of the major challenges faced by hospitals. Unnecessary and annoying waits for lo…
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments
Jianguo Chen, Kenli Li, Huigui Rong +3
In the era of big data, practical applications in various domains continually generate large-scale time-series data. Among them, some data show significant or potential periodicity…
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
Jianguo Chen, Kenli Li, Huigui Rong +3
It is crucial to provide compatible treatment schemes for a disease according to various symptoms at different stages. However, most classification methods might be ineffective in…
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
Jianguo Chen, Kenli Li, Zhuo Tang +4
With the emergence of the big data age, the issue of how to obtain valuable knowledge from a dataset efficiently and accurately has attracted increasingly attention from both acade…
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Jianguo Chen, Kenli Li, Kashif Bilal +3
Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. Howev…
A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction
Mingxing Duan, Kenli Li, Qi Tian
Face multi-attribute prediction benefits substantially from multi-task learning (MTL), which learns multiple face attributes simultaneously to achieve shared or mutually related re…