Wei Dong

Orcid: 0000-0003-1119-8369

Affiliations:
  • Tsinghua University, Beijing, China (PhD 2006)


According to our database1, Wei Dong authored at least 44 papers between 2008 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Integrated scheduling method for heavy-haul transportation with virtual coupling based on two-phase optimization strategy.
Expert Syst. Appl., 2026

2025
An Optimization Method of Marshalling Station Period Scheduling Plan Based on Ordinal Optimization.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

An Optimization Method for Marshalling Station Period Scheduling Plan Based on Reinforcement Learning with Graph Neural Network.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Efficiently Modeling of Superconducting Electrodynamic Suspension Train based on Physics-informed Neural Network.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

2024
Two-layer coordinated reinforcement learning for traffic signal control in traffic network.
Expert Syst. Appl., January, 2024

Railway network delay evolution: A heterogeneous graph neural network approach.
Appl. Soft Comput., 2024

Multi-Objective Multi-Agent Reinforcement Learning for Energy-Aimed Train Scheduling for Urban Rail Transit Network.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023
Abnormality Detection of Blast Furnace Ironmaking Process Based on an Improved Diffusion Convolutional Gated Recurrent Unit Network.
IEEE Trans. Instrum. Meas., 2023

Comprehensive Model Construction and Simulation for Superconducting Electrodynamic Suspension Train.
Complex Syst. Model. Simul., 2023

A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network.
CoRR, 2023

A Situation Deduction Method for Rail Transit Network Based on Dynamic Bayesian Network with Gaussian Mixture Model.
Proceedings of the 4th International Conference on Computer Engineering and Intelligent Control, 2023

2022
A Novel NILM Event Detection Algorithm Based on Different Frequency Scales.
IEEE Trans. Instrum. Meas., 2022

2021
Machine-Learning-Based Real-Time Economic Dispatch in Islanding Microgrids in a Cloud-Edge Computing Environment.
IEEE Internet Things J., 2021

Adaptive optimal fuzzy logic based energy management in multi-energy microgrid considering operational uncertainties.
Appl. Soft Comput., 2021

A Deep Reinforcement Learning Method for Freight Train Driving Based on Domain Knowledge and Mass Estimation Network.
Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021

Genetic Algorithm Based Dynamic Collaborative Optimization Method for Train Dispatching and Passenger Flow Guidance.
Proceedings of the ICCMS 2021: The 13th International Conference on Computer Modeling and Simulation, Melbourne, VIC, Australia, June 25, 2021

A decision optimization method for emergency maintenance of regional rail transit based on genetic algorithm.
Proceedings of the ICCMS 2021: The 13th International Conference on Computer Modeling and Simulation, Melbourne, VIC, Australia, June 25, 2021

A Method for Evaluating the Importance of Regional Rail Transit Nodes under the Sense of Cascaded Failure.
Proceedings of the ICCMS 2021: The 13th International Conference on Computer Modeling and Simulation, Melbourne, VIC, Australia, June 25, 2021

A Global Dynamic Capacity Risk Assessment and Prediction Method of Regional Rail Transit Network Based on Passenger Flow Monitoring.
Proceedings of the ICCMS 2021: The 13th International Conference on Computer Modeling and Simulation, Melbourne, VIC, Australia, June 25, 2021

An Online Detection Algorithm of Train Coupler Impact Based on Stacked Auto-Encoders.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty.
Inf. Sci., 2020

Data-Driven Solution for Optimal Pumping Units Scheduling of Smart Water Conservancy.
IEEE Internet Things J., 2020

Knowledge-based Deep Reinforcement Learning for Train Automatic Stop Control of High-Speed Railway.
Proceedings of the MLMI 2020: The 3rd International Conference on Machine Learning and Machine Intelligence, 2020

Research on Regional Rail Transit Travel Planning System Based on Passenger Flow Prediction<sup>*</sup>.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Metro Traffic Prediction and Service-Oriented Scheduling Optimization Under Influence of Train Arrivals.
IEEE Access, 2019

A Dynamic Risk Analysis and Assessment Method for Traction System of Metro Train Based on Characteristic Quantity.
Proceedings of the CAA Symposium on Fault Detection, 2019

A Dynamic Risk Analysis Method for Compound Faults of Traction System of High Speed Train Based on Characteristic Variables.
Proceedings of the CAA Symposium on Fault Detection, 2019

A Dynamic Risk Analysis Method for High-speed Railway Catenary Based on Bayesian Network.
Proceedings of the CAA Symposium on Fault Detection, 2019

A Method of Dynamic Risk Analysis and Assessment for Metro Power Supply System Based on Fuzzy Reasoning.
Proceedings of the CAA Symposium on Fault Detection, 2019

A Dynamic Risk Analysis Method for Escalator of Rail Transit Hub Based on Characteristic Quantity.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Fault Diagnosis of High-Speed Railway Turnout Based on Convolutional Neural Network.
Proceedings of the 24th International Conference on Automation and Computing, 2018

A Fault Detection Method for Railway Point Machine Operations Based On Stacked Autoencoders.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
An improved case-based reasoning method and its application on fault diagnosis of Tennessee Eastman process.
Neurocomputing, 2017

2016
Fault diagnosis of high-speed railway turnout based on support vector machine.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

An improved method of state estimation for Markov jump linear system with quantized measurements.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2014
State estimation for Markov Jump Linear Systems with quantized measurements: A quantized IMMPF algorithm.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

2013
Minimal-Energy Driving Strategy for High-Speed Electric Train With Hybrid System Model.
IEEE Trans. Intell. Transp. Syst., 2013

2010
A new concurrent mechanism for distributed hardware-in-the-loop simulation test system.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

Logic deduction agent based distributed parallel test platform on hardware-in-the-loop simulation system.
Proceedings of the 2010 Spring Simulation Multiconference, 2010

A New Formal Test Method for Networked Software Integration Testing.
Proceedings of the Computational Science and Its Applications, 2010

2009
Bridging Test Languages to Reuse Test Information: A Metamodel for Test Information.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

2008
A Meta-model Based Modeling Method for Geographic Information Model in CTCS Hardware-in-the-loop Simulation System.
J. Comput., 2008

A New Credit Based Micropayment Scheme.
Proceedings of the 2008 IEEE International Conference on e-Business Engineering, 2008


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