Shubin Su

Orcid: 0000-0003-1395-4578

According to our database1, Shubin Su authored at least 12 papers between 2017 and 2024.

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Bibliography

2024
An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix.
Pattern Recognit., January, 2024

2022
Improved firefly algorithm with courtship learning for unrelated parallel machine scheduling problem with sequence-dependent setup times.
J. Cloud Comput., 2022

A gradient-based optimization approach for task scheduling problem in cloud computing.
Clust. Comput., 2022

2019
A novel integrity measurement method based on copy-on-write for region in virtual machine.
Future Gener. Comput. Syst., 2019

An Efficient Density-Based Local Outlier Detection Approach for Scattered Data.
IEEE Access, 2019

ADCMO: An Anomaly Detection Approach Based on Local Outlier Factor for Continuously Monitored Object.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Deeper Monocular Depth Prediction via Long and Short Skip Connection.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
COW-IMM: A Novel Integrity Measurement Method Based on Copy-on-Write for File in Virtual Machine.
IEEE Access, 2018

2017
An efficient and fast polarity optimization approach for mixed polarity Reed-Muller logic circuits.
Frontiers Comput. Sci., 2017

N2DLOF: A New Local Density-Based Outlier Detection Approach for Scattered Data.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

HSAStore: A Hierarchical Storage Architecture for Computing Systems Containing Large-Scale Intermediate Data.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

A Two-Level Classifier Model for Sentiment Analysis.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017


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