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08/14/2023
MixBCT: Towards Self-Adapting Backward-Compatible Training
The exponential growth of data, alongside advancements in model structur...
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07/05/2022
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
Multiple kernel clustering (MKC) is committed to achieving optimal infor...
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11/23/2021
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis
Matrix factorization (MF) can extract the low-rank features and integrat...
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08/07/2021
Asymmetry-aware Scalable Locking
The pursuit of power-efficiency is popularizing asymmetric multicore pro...
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06/26/2021
GSmart: An Efficient SPARQL Query Engine Using Sparse Matrix Algebra – Full Version
Efficient execution of SPARQL queries over large RDF datasets is a topic...
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02/10/2021
On the Properties of Kullback-Leibler Divergence Between Gaussians
Kullback-Leibler (KL) divergence is one of the most important divergence...
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01/19/2021
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
As a new generation of Public Bicycle-sharing Systems (PBS), the dockles...
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01/19/2021
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Benefiting from convenient cycling and flexible parking locations, the D...
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12/07/2020
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a g...
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11/07/2020
EHAP-ORAM: Efficient Hardware-Assisted Persistent ORAM System for Non-volatile Memory
Oblivious RAM (ORAM) protected access pattern is essential for secure NV...
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07/04/2020
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly ...
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02/09/2020
Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models
Recent research has shown that it is challenging to detect out-of-distri...
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07/27/2019
HPC AI500: A Benchmark Suite for HPC AI Systems
In recent years, with the trend of applying deep learning (DL) in high p...
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04/12/2019
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing
In this paper, we propose a Distributed Intelligent Video Surveillance (...
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10/17/2018
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments
In the era of big data, practical applications in various domains contin...
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10/17/2018
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
It is crucial to provide compatible treatment schemes for a disease acco...
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10/17/2018
A Parallel Patient Treatment Time Prediction Algorithm and its Applications in Hospital Queuing-Recommendation in a Big Data Environment
Effective patient queue management to minimize patient wait delays and p...
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10/17/2018
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
With the emergence of the big data age, the issue of how to obtain valua...
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10/17/2018
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Benefitting from large-scale training datasets and the complex training ...
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04/09/2018
A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction
Face multi-attribute prediction benefits substantially from multi-task l...
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12/28/2017