Bin Wang

Orcid: 0000-0001-8861-571X

Affiliations:
  • South China University of Technology, School of Computer Science and Engineering, Guangzhou, China


According to our database1, Bin Wang authored at least 14 papers between 2020 and 2025.

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

Timeline

Legend:

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Bibliography

2025
GenesisRM: A state-driven approach to resource management for distributed JVM web applications.
Future Gener. Comput. Syst., 2025

2024
Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder.
IEEE Trans. Netw. Serv. Manag., June, 2024

Approximate Markov Perfect Equilibrium of Joint Offloading Policy for Multi-IV Using Reward-Shared Distributed Method.
IEEE Trans. Intell. Veh., February, 2024

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

Workflow scheduling based on asynchronous advantage actor-critic algorithm in multi-cloud environment.
Expert Syst. Appl., 2024

2023
Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks.
IEEE Trans. Intell. Veh., March, 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

Energy Efficient Resource Scheduling in Cloud Computing Based on Task Arrival Model.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
Energy-efficient VM scheduling based on deep reinforcement learning.
Future Gener. Comput. Syst., 2021

Energy-efficient collaborative optimization for VM scheduling in cloud computing.
Comput. Networks, 2021

2020
A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center.
IEEE Access, 2020


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