Ziyuan Zhou

Orcid: 0009-0002-8539-133X

According to our database1, Ziyuan Zhou authored at least 25 papers between 2016 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Robust Training in Multiagent Deep Reinforcement Learning Against Optimal Adversary.
IEEE Trans. Syst. Man Cybern. Syst., July, 2025

HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning.
CoRR, July, 2025

AdaptiveShard: Enhancing Throughput and Security of Sharded Blockchain With Adaptive Verifiable Coding.
IEEE Trans. Inf. Forensics Secur., 2025

Extended Reality: As an Educational Tool for Understanding Breast Composition and Radiology.
Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025

2024
Adversarial Attacks on Multiagent Deep Reinforcement Learning Models in Continuous Action Space.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges.
IEEE Trans. Intell. Veh., December, 2024

Probabilistic Automata-Based Method for Enhancing Performance of Deep Reinforcement Learning Systems.
IEEE CAA J. Autom. Sinica, November, 2024

A Robust Mean-Field Actor-Critic Reinforcement Learning Against Adversarial Perturbations on Agent States.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Enhancing the robustness of QMIX against state-adversarial attacks.
Neurocomputing, March, 2024

Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation.
IEEE Trans. Intell. Veh., January, 2024

A reconfigurable multi-precision quantization-aware nonlinear activation function hardware module for DNNs.
Microelectron. J., 2024

Identification and Evaluation Optimization of Comprehensive Risk Factors for Pumped Storage Power Stations Based on DEMATEL-AISM.
Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering, 2024

2023
MARL Sim2real Transfer: Merging Physical Reality With Digital Virtuality in Metaverse.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges.
CoRR, 2023

Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention.
CoRR, 2023

Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents.
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.
Int. J. Commun. Syst., 2022

RoMFAC: A Robust Mean-Field Actor-Critic Reinforcement Learning against Adversarial Perturbations on States.
CoRR, 2022

2021
Epilepsy Signal Recognition Using Online Transfer TSK Fuzzy Classifier Underlying Classification Error and Joint Distribution Consensus Regularization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Structural similarity preserving GAN for infrared and visible image fusion.
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.
J. Chem. Inf. Model., 2019

Deep View-Reduction TSK Fuzzy System: A Case Study on Epileptic EEG Signals Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2017
Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer.
Complex., 2017

2016
Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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