8 papers
Tabular Foundation Models for Multi-View Information Cascade Popularity Prediction
Wenting Zhu, Chenghua Gong, Sanchuan Guo +3
Predicting the future popularity of information cascades is essential for understanding information diffusion on social media. Despite recent advances, existing methods face two ke…
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
Chenghua Gong, Yihang Jiang, Hao Li +5
Advanced opinion dynamics modeling is vital for deciphering social behavior, emphasizing its role in mitigating polarization and securing cyberspace. To synergize mechanistic inter…
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
Rui Sun, Jie Ding, Chenghua Gong +5
Optimizing communication topology in LLM-based multi-agent system is critical for enabling collective intelligence. Existing methods mainly rely on spatio-temporal interaction para…
Vision-language models lag human performance on physical dynamics and intent reasoning
Tianjun Gu, Jingyu Gong, Zhizhong Zhang +4
Spatial intelligence is central to embodied cognition, yet contemporary AI systems still struggle to reason about physical interactions in open-world human environments. Despite st…
Epi-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
Rui Sun, Chenghua Gong, Tianjun Gu +5
Advancing epidemic dynamics forecasting is vital for targeted interventions and safeguarding public health. Current approaches mainly fall into two categories: mechanism-based and…
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
Chenghua Gong, Rui Sun, Yuhao Zheng +4
Advanced epidemic forecasting is critical for enabling precision containment strategies, highlighting its strategic importance for public health security. While recent advances in…