Chenyang Zhu

Orcid: 0000-0002-2145-0559

Affiliations:
  • University of Southampton, UK


According to our database1, Chenyang Zhu authored at least 24 papers between 2018 and 2025.

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Bibliography

2025
Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation.
Neural Networks, 2025

2024
Effective defense strategies in network security using improved double dueling deep Q-network.
Comput. Secur., January, 2024

Multi-agent reinforcement learning with synchronized and decomposed reward automaton synthesized from reactive temporal logic.
Knowl. Based Syst., 2024

Multiview latent space learning with progressively fine-tuned deep features for unsupervised domain adaptation.
Inf. Sci., 2024

Efficient deployment of Single Shot Multibox Detector network on FPGAs.
Integr., 2024

Residual SwinV2 transformer coordinate attention network for image super resolution.
AI Commun., 2024

Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A semi-supervised coarse-to-fine approach with bayesian optimization for lithology identification.
Earth Sci. Informatics, September, 2023

A fairness-based refinement strategy to transform liveness properties in Event-B models.
Sci. Comput. Program., 2023

IRE: Improved Image Super-Resolution Based on Real-ESRGAN.
IEEE Access, 2023

A Nested Attention Guided UNet++ Architecture for White Matter Hyperintensity Segmentation.
IEEE Access, 2023

Decomposing Synthesized Strategies for Reactive Multi-agent Reinforcement Learning.
Proceedings of the Theoretical Aspects of Software Engineering, 2023

3D Single Target Tracking Algorithm Based on Dynamic Search Center.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Efficient Reinforcement Learning with Generalized-Reactivity Specifications.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021
Learning From Doing: Lessons Learned From Designing and Developing an Educational Software Within a Heterogeneous Group.
Int. J. Web Based Learn. Teach. Technol., 2021

Reasoning About Real-Time Systems in Event-B Models with Fairness Assumptions.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2021

2020
Formal treatment of real-time properties in Event-B
PhD thesis, 2020

Formalizing hierarchical scheduling for refinement of real-time systems.
Sci. Comput. Program., 2020

Trace semantics and refinement patterns for real-time properties in event-B models.
Sci. Comput. Program., 2020

Real-Time Trigger-Response Properties for Event-B Applied to the Pacemaker.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2020

2019
Evaluation of Machine Learning Approaches for Android Energy Bugs Detection With Revision Commits.
IEEE Access, 2019

Towards Refinement Semantics of Real-Time Trigger-Response Properties in Event-B.
Proceedings of the 2019 International Symposium on Theoretical Aspects of Software Engineering, 2019

2018
Semantics of Real-Time Trigger-Response Properties in Event-B.
Proceedings of the 2018 International Symposium on Theoretical Aspects of Software Engineering, 2018

Refinement of Timing Constraints for Concurrent Tasks with Scheduling.
Proceedings of the Abstract State Machines, Alloy, B, TLA, VDM, and Z, 2018


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