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Xingchen Zou

2 accepted papers

2025

GraphAgent: Agentic Graph Language Assistant

EMNLP 2025

Real-world data combines structured (e.g., graph connections) and unstructured (e.g., text, visuals) formats, capturing explicit relationships (e.g., social links) and implicit semantic interdependencies (e.g., knowledge graphs). We propose GraphAgent, an automated agent pipeline addressing both exp

2025

Learning to Factorize Spatio-Temporal Foundation Models

NeurIPS 2025spotlight

Spatio-Temporal Foundation Models (STFMs) promise zero/few-shot generalization across various datasets, yet joint spatio-temporal pretraining is computationally prohibitive and struggles with domain-specific spatial correlations. To this end, we introduce FactoST, a factorized STFM that decouples un…

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