Guoxiang Zhong

Orcid: 0000-0002-3998-7282

According to our database1, Guoxiang Zhong authored at least 13 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CauseFormer: Interpretable Anomaly Detection With Stepwise Attention for Cloud Service.
IEEE Trans. Netw. Serv. Manag., February, 2024

Refining one-class representation: A unified transformer for unsupervised time-series anomaly detection.
Inf. Sci., January, 2024

2023
TraceGra: A trace-based anomaly detection for microservice using graph deep learning.
Comput. Commun., April, 2023

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing.
Comput. Commun., February, 2023

2022
A multi-output prediction model for physical machine resource usage in cloud data centers.
Future Gener. Comput. Syst., 2022

A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams.
Comput. Commun., 2022

A two-stage scheduling method for deadline-constrained task in cloud computing.
Clust. Comput., 2022

The Exploration of the Future Teaching Mode in Post-pandemic Higher Education.
Proceedings of the ICDEL 2022: The 7th International Conference on Distance Education and Learning, Beijing, China, May 20, 2022

2020
Artificial Intelligence Online Laboratory Based on Docker Cluster and Delay Queue.
Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

2019
Active Informative Pairwise Constraint Formulation Algorithm for Constraint-Based Clustering.
IEEE Access, 2019

Gaussian Kernel Dynamic Similarity Matrix Based Sparse Subspace Clustering for Hyperspectral Images.
Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2013
Collaborative Argumentation on the Web - A Dialogue Game Approach.
Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

2007
Exploiting Model of Personality and Emotion of Learning Companion Agent.
Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007


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