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Juan Liu

12 papers hereh-index 29 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author12

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.AS8
  • cs.SD4
same name
  • Juan Liu — 11 papers, h 7
  • Juan Liu — 9 papers, h 20
  • Juan Liu — 5 papers, h 30
  • Juan Liu — 5 papers, h 4
  • Juan Liu — 4 papers, h 4
  • Juan Liu — 4 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMultimodal Laryngoscopic Video Analysis for Assisted Diagnosis of Vocal Fold Paralysis

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2025

Audio-Visual Speech Enhancement In Complex Scenarios With Separation And Dereverberation Joint Modeling

Jiarong Du, Zhan Jin, Peijun Yang +4

Audio-visual speech enhancement (AVSE) is a task that uses visual auxiliary information to extract a target speaker's speech from mixed audio. In real-world scenarios, there often…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.