DEA-based performance predictive design of complex dynamic system usiness process improvement. - Yonghua Zhou; Yuliu Chen (SMC, 2003)

Project-oriented business process performance optimization. - Yonghua Zhou; Yuliu Chen (SMC, 2003)

UML-based systems integration modeling technique for the design and development of intelligent transportation management system. - Yonghua Zhou; Yuliu Chen; Huapu Lu (SMC (7), 2004)

The mobile transportation information service system. - Yonghua Zhou; Huapu Lu (SMC, 2005)

The Analytic Supporting Tools for Business Reengineering With System Integration Design. - Yonghua Zhou; Yuliu Chen (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Fuzzy indirect adaptive control using SVM-based multiple models for a class of nonlinear systems. - Yonghua Zhou (Neural Comput. Appl., 2013)

Modeling and simulation of train movements under scheduling and control for a fixed-block railway network using cellular automata. - Yonghua Zhou; Chao Mi (Simul., 2013)

Robust Safety Monitoring and Synergistic Operation Planning Between Time- and Energy-Efficient Movements of High-Speed Trains Based on MPC. - Yonghua Zhou; Xin Tao (IEEE Access, 2018)

Distributed coordination control of traffic network flow using adaptive genetic algorithm based on cloud computing. - Yongnan Zhang; Yonghua Zhou (J. Netw. Comput. Appl., 2018)

Models and Algorithms of Conflict Detection and Scheduling Optimization for High-Speed Train Operations Based on MPC. - Zhihui Wang 013; Yonghua Zhou; Deng Liu (J. Control. Sci. Eng., 2018)

Safety justification of train movement dynamic processes using evidence theory and reference models. - Yonghua Zhou; Xin Tao; Lei Luan; Zhihui Wang 013 (Knowl. Based Syst., 2018)

Revisiting the 7/23 train accident using computer reconstruction simulation for causation and prevention analysis. - Yonghua Zhou; Xin Tao; Lei Luan; Jingjie Ning (Math. Comput. Simul., 2018)

Parallel computing method of deep belief networks and its application to traffic flow prediction. - Lu Zhao; Yonghua Zhou; Huapu Lu; Hamido Fujita (Knowl. Based Syst., 2019)

Train-movement situation recognition for safety justification using moving-horizon TBM-based multisensor data fusion. - Yonghua Zhou; Xin Tao; Zhenyu Yu; Hamido Fujita (Knowl. Based Syst., 2019)

Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud. - Yongnan Zhang; Yonghua Zhou; Huapu Lu; Hamido Fujita (IEEE Trans. Ind. Informatics, 2020)

Cooperative multi-agent actor-critic control of traffic network flow based on edge computing. - Yongnan Zhang; Yonghua Zhou; Huapu Lu; Hamido Fujita (Future Gener. Comput. Syst., 2021)

Research and application of the virtual simulation system teaching method in copper pyrometallurgy. - Sijie Zhou; Dongming Zeng; Chong Yan; Jiaqi Huang; Shuai Wang; Yonghua Zhou (Int. J. Model. Simul. Sci. Comput., 2021)

Deep reinforcement learning with reference system to handle constraints for energy-efficient train control. - Mengying Shang; Yonghua Zhou; Hamido Fujita (Inf. Sci., 2021)

Model Predictive Control for Hybrid Levitation Systems of Maglev Trains With State Constraints. - Wenjie Hu; Yonghua Zhou; Zhenlin Zhang; Hamido Fujita (IEEE Trans. Veh. Technol., 2021)

Spark Cloud-Based Parallel Computing for Traffic Network Flow Predictive Control Using Non-Analytical Predictive Model. - Yongnan Zhang; Yonghua Zhou; Huapu Lu; Hamido Fujita (IEEE Trans. Intell. Transp. Syst., 2022)

Energy-Saving Operation Synergy for Multiple Metro-Trains Using Map-Reduce Parallel Optimization. - Mengying Shang; Yonghua Zhou; Hamido Fujita (IEEE Trans. Veh. Technol., 2022)

Energy-Saving Train Operation Synergy Based on Multi-Agent Deep Reinforcement Learning on Spark Cloud. - Mengying Shang; Yonghua Zhou; Yiduo Mei; Jie Zhao 012; Hamido Fujita (IEEE Trans. Veh. Technol., 2023)

A joint attention enhancement network for text classification applied to citizen complaint reporting. - Yuanhang Wang; Yonghua Zhou; Yiduo Mei (Appl. Intell., 2023)

A Train Energy-saving Operation Optimization Method Based on Safe Reinforcement Learning. - Xiangmeng Jiao; Yonghua Zhou (ICMML, 2024)

Short-term traffic flow prediction based on SAE and its parallel training. - Xiaoxue Tan; Yonghua Zhou; Lu Zhao; Yiduo Mei (Appl. Intell., 2024)

Distributed Multi-Agent Reinforcement Learning for Cooperative Low-Carbon Control of Traffic Network Flow Using Cloud-Based Parallel Optimization. - Yongnan Zhang; Yonghua Zhou; Hamido Fujita (IEEE Trans. Intell. Transp. Syst., 2024)

Spatial-temporal graph transformer network for traffic network flow prediction using parallel training based on cloud computing. - Yongnan Zhang; Sirui Peng; Yonghua Zhou (Appl. Soft Comput., 2025)

Traffic signal control based on deep reinforcement learning using state fusion and trend reward. - Xiaoxue Tan; Yonghua Zhou; Xiangmeng Jiao (Eng. Appl. Artif. Intell., 2025)

A multimodal traffic scene understanding model integrated with optical flow maps. - Yuanhang Wang; Yonghua Zhou; Min Zhong; Yiduo Mei; Hamido Fujita; Hanan Aljuaid (Neurocomputing, 2025)

Cooperative multi-agent actor-critic approach using adaptive value decomposition and parallel training for traffic network flow control. - Yongnan Zhang; Yonghua Zhou (Neurocomputing, 2025)

Two-Stage Integrated Planning of Energy-Saving Operations of Metro Trains Using MOJS and GWO Algorithms. - Xiangmeng Jiao; Yonghua Zhou; Hamido Fujita (IEEE Trans Autom. Sci. Eng., 2025)

A complex history browsing text categorization method with improved BERT embedding layer. - Yuanhang Wang; Yonghua Zhou; Huiyu Qi; Dingyi Wang; Annan Huang (Appl. Intell., 2025)

Adjustment of Energy-Saving Train Operations Based on Synergies of All Trains in the Same Power Supply Area. - Xiangmeng Jiao; Yonghua Zhou; Hamido Fujita (IEEE Trans. Intell. Transp. Syst., 2025)

Trajectory optimization of train cooperative energy-saving operation using a safe deep reinforcement learning approach. - Wenguang Niu; Yonghua Zhou; Xiangmeng Jiao; Hamido Fujita; Hanan Aljuaid (Appl. Intell., 2025)

A hierarchical interaction multimodal model for feature fusion based on RoBERTa-Keyword-ViT. - Yuanhang Wang; Yonghua Zhou; Min Zhong; Yiduo Mei; Hamido Fujita; Hanan Aljuaid (Appl. Intell., 2025)