Zeshu Tian

2 accepted papers

2026

Leveraging Implicit Contexts via LLM–Graph Fusion for Temporal Knowledge Graph Reasoning

IJCAI 2026

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

Cited by 0 Scholar ↗

2025

A Generative-Augmented Deep Matrix Factorization Model for POI Recommendations

Chunyu Liu, Hongli Zhang, Zeshu Tian, JiaYu Zhang

ICASSP 2025accepted

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…

Cited by 0 Source ↗Scholar ↗