1 citations · 2 across the 4 of their papers we have counts for
4 papers
Continuous Cross-Domain Traffic State Prediction via Memory-Augmented Graph Liquid Time-Constant Networks
Jinrong Xiang, Ming Xu
Traffic state prediction is a fundamental task in intelligent transportation systems. In practical applications, some regions suffer from limited traffic observations due to insuff…
Learning to Rank Critical Road Segments via Heterogeneous Graphs with Origin-Destination Flow Integration
Ming Xu, Jinrong Xiang, Zilong Xie +1
Existing learning-to-rank methods for road networks often fail to incorporate origin-destination (OD) flows and route information, limiting their ability to model long-range spatia…
Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation
Ming Xu, Zilong Xie
Most Vision-and-Language Navigation (VLN) algorithms are prone to making inaccurate decisions due to their lack of visual common sense and limited reasoning capabilities. To addres…
TraffNet: Learning Causality of Traffic Generation for What-if Prediction
Ming Xu, Qiang Ai, Ruimin Li +4
Real-time what-if traffic prediction is crucial for decision making in intelligent traffic management and control. Although current deep learning methods demonstrate significant ad…