Area of research
Industrial and Manufacturing Engineering · Transportation
Research interest
Research interests include Computer science, Train, Energy consumption, Scheduling (production processes), Urban rail transit, and Energy (signal processing).
Dynamic graph meta-learning with multi-sensor spatial dependencies for cross-category small-sample fault diagnosis in ZDJ9-RTAs
Diffusion-Based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework
A risk-averse two-stage stochastic programming approach for backup rolling stock allocation and metro train rescheduling under uncertain disturbances
A data-driven MPC approach for virtually coupled train set with non-analytic safety distance
A Two-Step Optimization Framework for Real-Time Train Rescheduling in an Urban Rail Transit Line
M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices
A branch-and-cut algorithm for scheduling train platoons in urban rail networks
A Hierarchical MPC Approach for Arriving-Phase Operation of Virtually Coupled Train Set
Computation-efficient distributed MPC for dynamic coupling of virtually coupled train set
Integrated capacity allocation and timetable coordination for multimodal railway networks
Train-to-Edge Cooperative Intelligence for Obstacle Intrusion Detection in Rail Transit
A data-driven mixed-integer linear programming approach for real-time rescheduling of urban rail transit under rolling stock faults
DSNet: A Computer Vision‐Based Detection and Corrosion Segmentation Network for Corroded Bolt Detection in Tunnel
Optimizing Train-to-Train Rescue and Rescheduling in Metro Systems
Digital Twin-Driven VCTS Control: An Iterative Apporach Using Model-Based Reinforcement Learning
Coordinated Operation Strategy Design for Virtually Coupled Train Set: A Multiagent Reinforcement Learning Approach
Edge Intelligence in Intelligent Transportation Systems: A Survey
Fault Detection for Point Machines: A Review, Challenges, and Perspectives
A lightweight metro tunnel water leakage identification algorithm via machine vision
Resilience-Oriented Train Rescheduling Optimization in Railway Networks: A Mixed Integer Programming Approach
Machine Learning in Urban Rail Transit Systems: A Survey
Integrated train timetabling and rolling stock rescheduling for a disturbed metro system: A hybrid deep reinforcement learning and adaptive large neighborhood search approach
Optimization of system resilience in urban rail systems: Train rescheduling considering congestions of stations
Robust constraint satisfaction and stability of virtually coupled train set with uncertain dynamics: A dual-mode robust MPC approach
Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach
A hierarchical control approach for virtual coupling in metro trains
Integrated rescheduling of train timetables and rolling stock circulation for metro line disturbance management: a Q-learning-based approach
Train schedule optimization for commuter-metro networks
Distributed fixed-time formation control for heavy haul trains based on sliding mode control
DMDSNet: A Computer Vision-based Dual Multi-task Model for Tunnel Bolt Detection and Corrosion Segmentation