Zhenyu Zhang

Orcid: 0000-0002-9470-7132

Affiliations:
  • Shanghai University, School of Computer Engineering and Science, China


According to our database1, Zhenyu Zhang authored at least 13 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Concept Drift Adaptation by Exploiting Drift Type.
ACM Trans. Knowl. Discov. Data, May, 2024

2023
Recurrent prediction model for partially observable MDPs.
Inf. Sci., 2023

2022
ET-HF: A novel information sharing model to improve multi-agent cooperation.
Knowl. Based Syst., 2022

USVs-Sim: A general simulation platform for unmanned surface vessels autonomous learning.
Concurr. Comput. Pract. Exp., 2022

Multi-label disaster text classification via supervised contrastive learning for social media data.
Comput. Electr. Eng., 2022

Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

SNSE: State Novelty Sampling Exploration.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning.
Connect. Sci., 2021

2020
Single-Beat Measurement of Left Ventricular Contractility in Normothermic Ex Situ Perfused Porcine Hearts.
IEEE Trans. Biomed. Eng., 2020

SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Proximal Policy Optimization with Mixed Distributed Training.
CoRR, 2019

Proximal Policy Optimization with Mixed Distributed Training.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019


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