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Xiangmin Han

2 accepted papers

2026

Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis

AAAI 2026technical

Multivariate Time-Series (MTS) analysis is crucial across various domains. Considering the spatial and temporal consistency of MTS, existing methods leverage graph structures with temporal augmentation and contrastive learning to achieve robust learning of spatial dependencies and temporal patterns.

Cited by 0SourcePDFScholar
2025

Cross-Template-Based Hypergraph Transformer

ICASSP 2025accepted

Single-template-based brain functional network analysis methods can provide limited functional connectivity information, which constrains the performance of brain disease diagnosis. Previous works have explored multi-template functional network analysis but failed to integrate the high-order correla…

Cited by 0SourceScholar