1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 1 cited
Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
Bicheng Wang, Junping Wang, Yibo Xue
Learning complex network dynamics is fundamental to understanding, modelling and controlling real-world complex systems. There are two main problems in the task of predicting the d…
cs.LG2025
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
Bicheng Wang, Junping Wang, Yibo Xue
Industrial chain plays an increasingly important role in the sustainable development of national economy. However, as a typical complex network, data-driven deep learning is still…
cs.CV2024
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding
Wenhua Wu, Qi Wang, Guangming Wang +6
Road surface reconstruction plays a vital role in autonomous driving systems, enabling road lane perception and high-precision mapping. Recently, neural implicit encoding has achie…