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20212026
most citedOutlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning

9 citations · 16 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

Toward Multimodal Industrial Fault Analysis: A Single-Speed Chain Conveyor Dataset with Audio and Vibration Signals

Zhang Chen, Yucong Zhang, Xiaoxiao Miao +1

We introduce a multimodal industrial fault analysis dataset collected from a single-speed chain conveyor (SSCC) system, targeting system-level fault detection in production lines.…

cs.SD2025

Multi-scale Scanning Network for Machine Anomalous Sound Detection

Yucong Zhang, Juan Liu, Ming Li

Machine sounds exhibit consistent and repetitive patterns in both the frequency and time domains, which vary significantly across scales for different machine types. For instance,…

cs.SD2025

ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signals

Yucong Zhang, Juan Liu, Ming Li

Pre-trained foundation models have demonstrated remarkable success in audio, vision and language, yet their potential for general machine signal modeling with arbitrary sampling ra…

cs.SD2024★ 1 cited

Multimodal Laryngoscopic Video Analysis for Assisted Diagnosis of Vocal Fold Paralysis

Yucong Zhang, Xin Zou, Jinshan Yang +4

This paper presents the Multimodal Laryngoscopic Video Analyzing System (MLVAS), a novel system that leverages both audio and video data to automatically extract key video segments…

cs.SD2023★ 9 cited

Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning

Yucong Zhang, Hongbin Suo, Yulong Wan +1

This paper proposes an approach for anomalous sound detection that incorporates outlier exposure and inlier modeling within a unified framework by multitask learning. While outlier…