Ziyuan Zhou

According to our database, Ziyuan Zhou authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial Attacks on Multiagent Deep Reinforcement Learning Models in Continuous Action Space.

Ziyuan Zhou, Guanjun Liu, Weiran Guo, MengChu Zhou

IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Probabilistic Automata-Based Method for Enhancing Performance of Deep Reinforcement Learning Systems.

Min Yang, Guanjun Liu, Ziyuan Zhou, Jiacun Wang

IEEE CAA J. Autom. Sinica, November, 2024

A Robust Mean-Field Actor-Critic Reinforcement Learning Against Adversarial Perturbations on Agent States.

Ziyuan Zhou, Guanjun Liu, Mengchu Zhou

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Enhancing the robustness of QMIX against state-adversarial attacks.

Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang, Jiacun Wang

Neurocomputing, March, 2024

Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation.

Shutong Chen, Guanjun Liu, Ziyuan Zhou, Kaiwen Zhang, Jiacun Wang

IEEE Trans. Intell. Veh., January, 2024

A reconfigurable multi-precision quantization-aware nonlinear activation function hardware module for DNNs.

Qi Hong, Zhiming Liu, Qiang Long, Hao Tong, Tianxu Zhang, Xiaowen Zhu, Yunong Zhao, Hua Ru, Yuxing Zha, Ziyuan Zhou, Jiashun Wu, Hongtao Tan, Weiqiang Hong, Yaohua Xu, Xiaohui Guo

Microelectron. J., 2024

2023

MARL Sim2real Transfer: Merging Physical Reality With Digital Virtuality in Metaverse.

Haoran Shi, Guanjun Liu, Kaiwen Zhang, Ziyuan Zhou, Jiacun Wang

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges.

Ziyuan Zhou, Guanjun Liu, Ying Tang

CoRR, 2023

Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention.

Min Yang, Guanjun Liu, Ziyuan Zhou

CoRR, 2023

Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents.

Ziyuan Zhou, Guanjun Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Lightweight unmanned aerial vehicle video object detection based on spatial-temporal correlation.

Pei Zhou, Guanjun Liu, Jiacun Wang, Qianli Weng, Kaiwen Zhang, Ziyuan Zhou

Int. J. Commun. Syst., 2022

RoMFAC: A Robust Mean-Field Actor-Critic Reinforcement Learning against Adversarial Perturbations on States.

Ziyuan Zhou, Guanjun Liu

CoRR, 2022

2021

Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization.

Yuanpeng Zhang, Ziyuan Zhou, Wenjie Pan, Heming Bai, Wei Liu, Li Wang, Chuang Lin

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Structural similarity preserving GAN for infrared and visible image fusion.

Di Zhang, Yong Zhou, Jiaqi Zhao, Ziyuan Zhou, Rui Yao

Int. J. Wavelets Multiresolution Inf. Process., 2021

2019

In Silico Observation of the Conformational Opening of the Glutathione-Binding Site of Microsomal Prostaglandin E2 Synthase-1.

Shuo Zhou, Ziyuan Zhou, Kai Ding, Yaxia Yuan, Fang Zheng, Chang-Guo Zhan

J. Chem. Inf. Model., 2019

Deep View-Reduction TSK Fuzzy System: A Case Study on Epileptic EEG Signals Detection.

Ziyuan Zhou, Yuanpeng Zhang, Yizhang Jiang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2017

Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer.

Le Zhang, Chunqiu Zheng, Tian Li, Lei Xing, Han Zeng, Tingting Li, Huan Yang, Jia Cao, Badong Chen, Ziyuan Zhou

Complex., 2017

2016

Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data.

Chunqiu Zheng, Lei Xing, Tian Li, Tingting Li, Huan Yang, Jia Cao, Badong Chen, Ziyuan Zhou, Le Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016