3 papers
cs.AI2025
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.AI2025
Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models
Yifan Jiang, Yibo Xue, Yukun Kang +4
Slide animations, such as fade-in, fly-in, and wipe, are critical for audience engagement, efficient information delivery, and vivid visual expression. However, most AI-driven slid…