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Xiaolong Meng

2 accepted papers

2026

ST-VLM: A Spatial-to-Image Multimodal Spatial-Temporal Prediction Framework with Vision-Language Model

AAAI 2026technical

Spatial-temporal prediction plays a crucial role in various domains, including intelligent transportation and environmental monitoring. Although large language model has shown advantages in long-range dependency modeling and excellent generalization ability for forecasting, it has limited understand

Cited by 0SourcePDFScholar
2025

ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network

IJCAI 2025

Personalized federated graph neural networks (PFGNN) are an emerging technology that allows multiple graph data owners to collaboratively train personalized models without sharing raw data. However, the Non-IID nature of graph data can cause the coupling of global and local knowledge parameters, whi

Cited by 0SourcePDFScholar