6 accepted papers
Temporal knowledge graph (TKG) reasoning is critical for modeling and forecasting the evolution of real-world events. Existing TKG construction pipelines transform raw text into structured temporal quadruples as graph facts. However, in this process, they often fail to preserve reasoning-relevant co
Robust and efficient point cloud registration is fundamental to robotic perception tasks such as SLAM, 3D reconstruction, and autonomous navigation. Traditional methods often rely on fragile point correspondences and iterative optimization, struggling under conditions like poor initialization, parti
Deep matrix factorization has become a pivotal technique for Point of Interest (POI) recommendations, effectively capturing complex user-POI interactions to improve user experiences. However, these systems often face challenges such as data sparsity and the geographical constraints of POIs. To addre…
Multimedia rumor content has been widely disseminated with the rise of generative technologies. Existing rumor detection approaches typically focus independently on multi-modal data (such as text and images) or social structure analysis, and only a few researchers have attempted to integrate all thr…
Automatic exploit generation (AEG) refers to the automatic discovery and exploitation of vulnerabilities against unknown targets. Traditional AEG often targets a single type of vulnerability and still relies on templates built from expert experience. To achieve intelligent exploit generation, we est…
Urban migration is a significant aspect of a city's economy. The exploration of the underlying determinants of housing purchases among current residents contributes to the study of future trends in urban migration, enabling governments to formulate appropriate policies to guide future economic growt…