Publications (31)
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
Huiliang Zhang, Di Wu, Arnaud Zinflou +3
Multivariate Time Series (MTS) forecasting has a wide range of applications in both industry and academia. Recent advances in Spatial-Temporal Graph Neural Network (STGNN) have ach…
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
Xingshuai Huang, Di Wu, Benoit Boulet
Efficient traffic signal control is critical for reducing traffic congestion and improving overall transportation efficiency. The dynamic nature of traffic flow has prompted resear…
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding
Jilan Samiuddin, Benoit Boulet, Di Wu
Trajectory prediction module in an autonomous driving system is crucial for the decision-making and safety of the autonomous agent car and its surroundings. This work presents a no…
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture
Wenbin Song, Di Wu, Weiming Shen +1
Early fault detection (EFD) of rotating machines is important to decrease the maintenance cost and improve the mechanical system stability. One of the key points of EFD is developi…
MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi +3
Convergent Cross Mapping (CCM) is a powerful method for detecting causality in coupled nonlinear dynamical systems, providing a model-free approach to capture dynamic causal intera…
Learning-based synthesis of robust linear time-invariant controllers
Marc-Antoine Beaudoin, Benoit Boulet
Recent advances in learning for control allow to synthesize vehicle controllers from learned system dynamics and maintain robust stability guarantees. However, no approach is well-…