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Ji Zhong

2 accepted papers

2025

CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning

IJCAI 2025

Spatio-temporal data mining is crucial for decision-making and planning in diverse domains. However, in real-world scenarios, training and testing data are often not independent or identically distributed due to rapid changes in data distributions over time and space, resulting in spatio-temporal ou

Cited by 0SourcePDFScholar
2025

Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction

IJCAI 2025

Origin-Destination (OD) demand prediction is a pivotal yet highly challenging task in intelligent transportation systems, aiming to accurately forecast cross-region ridership flows within urban networks. While previous studies have focused on modeling node-to-node relationships, most of them neglect

Cited by 0SourcePDFScholar