Yonghua Zhou

36 papers B 3Journal 31Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Collaborative optimization of train operation using safe reinforcement learning and ray parallelism solution for nested modeling problem.
Swarm Evol. Comput.
Xiangmeng Jiao, Yonghua Zhou, Yiduo Mei
2025 J jnl
A complex history browsing text categorization method with improved BERT embedding layer.
Appl. Intell.
Yuanhang Wang, Yonghua Zhou, Huiyu Qi, Dingyi Wang, Annan Huang
2025 J jnl
A hierarchical interaction multimodal model for feature fusion based on RoBERTa-Keyword-ViT.
Appl. Intell.
Yuanhang Wang, Yonghua Zhou, Min Zhong, Yiduo Mei, Hamido Fujita, Hanan Aljuaid
2025 J jnl
A multimodal traffic scene understanding model integrated with optical flow maps.
Neurocomputing
Yuanhang Wang, Yonghua Zhou, Min Zhong, Yiduo Mei, Hamido Fujita, Hanan Aljuaid
2025 J jnl
Adjustment of Energy-Saving Train Operations Based on Synergies of All Trains in the Same Power Supply Area.
IEEE Trans. Intell. Transp. Syst.
Xiangmeng Jiao, Yonghua Zhou, Hamido Fujita
2025 J jnl
Cooperative multi-agent actor-critic approach using adaptive value decomposition and parallel training for traffic network flow control.
Neurocomputing
Yongnan Zhang, Yonghua Zhou
2025 J jnl
Spatial-temporal graph transformer network for traffic network flow prediction using parallel training based on cloud computing.
Appl. Soft Comput.
Yongnan Zhang, Sirui Peng, Yonghua Zhou
2025 J jnl
Traffic signal control based on deep reinforcement learning using state fusion and trend reward.
Eng. Appl. Artif. Intell.
Xiaoxue Tan, Yonghua Zhou, Xiangmeng Jiao
2025 J jnl
Trajectory optimization of train cooperative energy-saving operation using a safe deep reinforcement learning approach.
Appl. Intell.
Wenguang Niu, Yonghua Zhou, Xiangmeng Jiao, Hamido Fujita, Hanan Aljuaid
2025 J jnl
Two-Stage Integrated Planning of Energy-Saving Operations of Metro Trains Using MOJS and GWO Algorithms.
IEEE Trans Autom. Sci. Eng.
Xiangmeng Jiao, Yonghua Zhou, Hamido Fujita
2024 — conf
A Train Energy-saving Operation Optimization Method Based on Safe Reinforcement Learning.
ICMML
Xiangmeng Jiao, Yonghua Zhou
2024 J jnl
Distributed Multi-Agent Reinforcement Learning for Cooperative Low-Carbon Control of Traffic Network Flow Using Cloud-Based Parallel Optimization.
IEEE Trans. Intell. Transp. Syst.
Yongnan Zhang, Yonghua Zhou, Hamido Fujita
2024 J jnl
Short-term traffic flow prediction based on SAE and its parallel training.
Appl. Intell.
Xiaoxue Tan, Yonghua Zhou, Lu Zhao, Yiduo Mei
2023 J jnl
A joint attention enhancement network for text classification applied to citizen complaint reporting.
Appl. Intell.
Yuanhang Wang, Yonghua Zhou, Yiduo Mei
2023 J jnl
Energy-Saving Train Operation Synergy Based on Multi-Agent Deep Reinforcement Learning on Spark Cloud.
IEEE Trans. Veh. Technol.
Mengying Shang, Yonghua Zhou, Yiduo Mei, Jie Zhao, Hamido Fujita
2022 J jnl
Energy-Saving Operation Synergy for Multiple Metro-Trains Using Map-Reduce Parallel Optimization.
IEEE Trans. Veh. Technol.
Mengying Shang, Yonghua Zhou, Hamido Fujita
2022 J jnl
Spark Cloud-Based Parallel Computing for Traffic Network Flow Predictive Control Using Non-Analytical Predictive Model.
IEEE Trans. Intell. Transp. Syst.
Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita
2021 J jnl
Cooperative multi-agent actor-critic control of traffic network flow based on edge computing.
Future Gener. Comput. Syst.
Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita
2021 J jnl
Deep reinforcement learning with reference system to handle constraints for energy-efficient train control.
Inf. Sci.
Mengying Shang, Yonghua Zhou, Hamido Fujita
2021 J jnl
Model Predictive Control for Hybrid Levitation Systems of Maglev Trains With State Constraints.
IEEE Trans. Veh. Technol.
Wenjie Hu, Yonghua Zhou, Zhenlin Zhang, Hamido Fujita
2021 J jnl
Research and application of the virtual simulation system teaching method in copper pyrometallurgy.
Int. J. Model. Simul. Sci. Comput.
Sijie Zhou, Dongming Zeng, Chong Yan, Jiaqi Huang, Shuai Wang, Yonghua Zhou
2020 J jnl
Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud.
IEEE Trans. Ind. Informatics
Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita
2019 J jnl
Parallel computing method of deep belief networks and its application to traffic flow prediction.
Knowl. Based Syst.
Lu Zhao, Yonghua Zhou, Huapu Lu, Hamido Fujita
2019 J jnl
Train-movement situation recognition for safety justification using moving-horizon TBM-based multisensor data fusion.
Knowl. Based Syst.
Yonghua Zhou, Xin Tao, Zhenyu Yu, Hamido Fujita
2018 J jnl
Distributed coordination control of traffic network flow using adaptive genetic algorithm based on cloud computing.
J. Netw. Comput. Appl.
Yongnan Zhang, Yonghua Zhou
2018 J jnl
Models and Algorithms of Conflict Detection and Scheduling Optimization for High-Speed Train Operations Based on MPC.
J. Control. Sci. Eng.
Zhihui Wang, Yonghua Zhou, Deng Liu
2018 J jnl
Revisiting the 7/23 train accident using computer reconstruction simulation for causation and prevention analysis.
Math. Comput. Simul.
Yonghua Zhou, Xin Tao, Lei Luan, Jingjie Ning
2018 J jnl
Robust Safety Monitoring and Synergistic Operation Planning Between Time- and Energy-Efficient Movements of High-Speed Trains Based on MPC.
IEEE Access
Yonghua Zhou, Xin Tao
2018 J jnl
Safety justification of train movement dynamic processes using evidence theory and reference models.
Knowl. Based Syst.
Yonghua Zhou, Xin Tao, Lei Luan, Zhihui Wang
2013 J jnl
Fuzzy indirect adaptive control using SVM-based multiple models for a class of nonlinear systems.
Neural Comput. Appl.
Yonghua Zhou
2013 J jnl
Modeling and simulation of train movements under scheduling and control for a fixed-block railway network using cellular automata.
Simul.
Yonghua Zhou, Chao Mi
2010 J jnl
The Analytic Supporting Tools for Business Reengineering With System Integration Design.
IEEE Trans. Syst. Man Cybern. Part A
Yonghua Zhou, Yuliu Chen
2005 B conf
The mobile transportation information service system.
SMC
Yonghua Zhou, Huapu Lu
2004 — conf
UML-based systems integration modeling technique for the design and development of intelligent transportation management system.
SMC (7)
Yonghua Zhou, Yuliu Chen, Huapu Lu
2003 B conf
DEA-based performance predictive design of complex dynamic system usiness process improvement.
SMC
Yonghua Zhou, Yuliu Chen
2003 B conf
Project-oriented business process performance optimization.
SMC
Yonghua Zhou, Yuliu Chen