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Yuexian Zou

7 papers hereh-index 254 citations11 works total

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

author position
  • middle author1
  • last author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SD5
  • cs.CL1
  • eess.AS1
same name
  • Yuexian Zou — 57 papers, h 28
  • Yuexian Zou — 36 papers, h 39
  • Yuexian Zou — 9 papers, h 12
  • Yuexian Zou — 8 papers, h 6
  • Yuexian Zou — 5 papers, h 4
  • Yuexian Zou — 4 papers, h 3

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 citedOn the Worst Prompt Performance of Large Language Models

3 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing 2025 · cs.SDShow all

4 papers · 2 filters

cs.SD2025

U-Codec: Ultra Low Frame-rate Neural Speech Codec for Fast High-fidelity Speech Generation

Xusheng Yang, Long Zhou, Wenfu Wang +6

We propose \textbf{U-Codec}, an \textbf{U}ltra low frame-rate neural speech \textbf{Codec} that achieves high-fidelity reconstruction and fast speech generation at an extremely low…

cs.SD2025

When Audio Generators Become Good Listeners: Generative Features for Understanding Tasks

Zeyu Xie, Chenxing Li, Xuenan Xu +6

This work pioneers the utilization of generative features in enhancing audio understanding. Unlike conventional discriminative features that directly optimize posterior and thus em…

cs.SD2025

FakeSound2: A Benchmark for Explainable and Generalizable Deepfake Sound Detection

Zeyu Xie, Yaoyun Zhang, Xuenan Xu +4

The rapid development of generative audio raises ethical and security concerns stemming from forged data, making deepfake sound detection an important safeguard against the malicio…

cs.SD2025

STAR: Speech-to-Audio Generation via Representation Learning

Zeyu Xie, Xuenan Xu, Yixuan Li +2

This work presents STAR, the first end-to-end speech-to-audio generation framework, designed to enhance efficiency and address error propagation inherent in cascaded systems. Unlik…

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