Huiliang Zhang

Huiliang Zhang

PhD candidate at McGill working on ML, RL, LLM agents, and reliable evaluation.

Rethinking Driver Fatigue Detection as Anomaly Identification: A Hypergraph-Transformer Approach

Published in Information Processing & Management, 2026

Journal article on driver-fatigue detection framed as anomaly identification with a hypergraph-transformer approach.

Recommended citation: J. He, H. Yuan, B. Li, H. Zhang, X. Meng, J. Yin, and Y. Li, "Rethinking Driver Fatigue Detection as Anomaly Identification: A Hypergraph-Transformer Approach," Information Processing & Management, vol. 63, no. 3, art. no. 104553, 2026.
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