Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data. - Chunqiu Zheng; Lei Xing 003; Tian Li 002; Tingting Li; Huan Yang 004; Jia Cao; Badong Chen; Ziyuan Zhou; Le Zhang 004 (BIBM, 2016)

Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer. - Le Zhang 004; Chunqiu Zheng; Tian Li 002; Lei Xing 003; Han Zeng; Tingting Li; Huan Yang 004; Jia Cao; Badong Chen; Ziyuan Zhou (Complex., 2017)

Deep View-Reduction TSK Fuzzy System: A Case Study on Epileptic EEG Signals Detection. - Ziyuan Zhou; Yuanpeng Zhang; Yizhang Jiang (SSCI, 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 008; Chang-Guo Zhan (J. Chem. Inf. Model., 2019)

Structural similarity preserving GAN for infrared and visible image fusion. - Di Zhang; Yong Zhou 003; Jiaqi Zhao 001; Ziyuan Zhou; Rui Yao (Int. J. Wavelets Multiresolution Inf. Process., 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 154; Li Wang; Chuang Lin 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

RoMFAC: A Robust Mean-Field Actor-Critic Reinforcement Learning against Adversarial Perturbations on States. - Ziyuan Zhou; Guanjun Liu (CoRR, 2022)

Lightweight unmanned aerial vehicle video object detection based on spatial-temporal correlation. - Pei Zhou; Guanjun Liu; Jiacun Wang; Qianli Weng; Kaiwen Zhang 010; Ziyuan Zhou (Int. J. Commun. Syst., 2022)

Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents. - Ziyuan Zhou; Guanjun Liu (ECAI, 2023)

Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention. - Min Yang; Guanjun Liu; Ziyuan Zhou (CoRR, 2023)

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges. - Ziyuan Zhou; Guanjun Liu; Ying Tang 001 (CoRR, 2023)

MARL Sim2real Transfer: Merging Physical Reality With Digital Virtuality in Metaverse. - Haoran Shi; Guanjun Liu; Kaiwen Zhang 010; Ziyuan Zhou; Jiacun Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Identification and Evaluation Optimization of Comprehensive Risk Factors for Pumped Storage Power Stations Based on DEMATEL-AISM. - Shuo Ding; Ziyuan Zhou; Kai Guan; Yali Jiang (ICAICE, 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; et al. (Microelectron. J., 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 010; Jiacun Wang (IEEE Trans. Intell. Veh., 2024)

Enhancing the robustness of QMIX against state-adversarial attacks. - Weiran Guo; Guanjun Liu; Ziyuan Zhou; Ling Wang; Jiacun Wang (Neurocomputing, 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., 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, 2024)

Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges. - Ziyuan Zhou; Guanjun Liu; Ying Tang 001 (IEEE Trans. Intell. Veh., 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., 2024)

Extended Reality: As an Educational Tool for Understanding Breast Composition and Radiology. - Ziyuan Zhou; Faraz Janan (AIxVR, 2025)

AdaptiveShard: Enhancing Throughput and Security of Sharded Blockchain With Adaptive Verifiable Coding. - Yongjun Ren; Ziyuan Zhou; Zhaoyang Han; Chunpeng Ge 001; Huawei Huang (IEEE Trans. Inf. Forensics Secur., 2025)

PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning. - Weiran Guo; Guanjun Liu; Ziyuan Zhou; Ling Wang (CoRR, 2025)

HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment. - Jiangtong Li; Ziyuan Zhou; Jingkai Zhang; Dawei Cheng; Changjun Jiang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Robust Training in Multiagent Deep Reinforcement Learning Against Optimal Adversary. - Weiran Guo; Guanjun Liu; Ziyuan Zhou; Jiacun Wang; Ying Tang 001; Miaomiao Wang (IEEE Trans. Syst. Man Cybern. Syst., 2025)