Hejing Zhang — accepted AI-conference papers

2025

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift

Jian Guan, Jiantong Tian, Qiaoxi Zhu, Feiyang Xiao, Hejing Zhang, Xubo Liu

ICASSP 2025accepted

Anomalous sound detection (ASD) encounters difficulties with domain shift, where the sounds of machines in target domains differ significantly from those in source domains due to varying operating conditions. Existing methods typically employ domain classifiers to enhance detection performance, but…

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2024

First-Shot Unsupervised Anomalous Sound Detection with Unknown Anomalies Estimated by Metadata-Assisted Audio Generation

Hejing Zhang, Qiaoxi Zhu, Jian Guan, Haohe Liu, Feiyang Xiao, Jiantong Tian +3

ICASSP 2024accepted

First-shot (FS) unsupervised anomalous sound detection (ASD) is a brand-new task introduced in DCASE 2023 Challenge Task 2, where the anomalous sounds for the target machine types are unseen in training. Existing methods often rely on the availability of normal and abnormal sound data from the targe…

Cited by 0 Source ↗Scholar ↗