Yulan Ma — accepted AI-conference papers

2026

HyperDiag: Temporal–Regional Hypergraph Learning via Topology-Enhanced State Propagation for Brain Disease Diagnosis

Yulan Ma, Fangkun Li, Wenchao Yang, Qian Si, Chenglong Yu, Yang Li

AAAI 2026technical

Dynamic brain networks provide a powerful representation for capturing temporal variations in functional brain connectivity and have gained increasing attention in brain disease diagnosis. However, most existing methods extract features from isolated time windows, making it difficult to capture the

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2025

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations

Wenchao Yang, Weidong Yan, Wenkang Liu, Yulan Ma, Yang Li

NeurIPS 2025poster

Large-scale pre-trained models hold significant potential for learning universal EEG representations. However, most existing methods, particularly autoregressive (AR) frameworks, primarily rely on straightforward temporal sequencing of multi-channel EEG data, which fails to capture the rich physiolo…

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