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researcher

Yu Wu

DeepSeek AI

43 papers hereh-index 3319.3k citations51 works total

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

author position
  • first author3
  • middle author35
  • last author1

Across the 39 of 43 papers where every author was matched, so the position is known.

fields
  • cs.CL25
  • eess.AS12
  • cs.SD4
  • cs.CV1
  • cs.SE1
affiliations
  • DeepSeek AI
Homepage
same name
  • Yu Wu — 62 papers, h 27
  • Yu Wu — 50 papers, h 26
  • Yu Wu — 15 papers, h 13
  • Yu Wu — 5 papers, h 4
  • Yu Wu — 4 papers, h 18
  • Yu Wu — 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
20162024
most citedWavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

1.9k citations · 2.8k across the 43 of their papers we have counts for

collaborators
Showing 2022 · eess.ASShow all

4 papers · 2 filters

eess.AS2022★ 43 cited

BEATs: Audio Pre-Training with Acoustic Tokenizers

Sanyuan Chen, Yu Wu, Chengyi Wang +4

The massive growth of self-supervised learning (SSL) has been witnessed in language, vision, speech, and audio domains over the past few years. While discrete label prediction is w…

eess.AS2022

Speech separation with large-scale self-supervised learning

Zhuo Chen, Naoyuki Kanda, Jian Wu +6

Self-supervised learning (SSL) methods such as WavLM have shown promising speech separation (SS) results in small-scale simulation-based experiments. In this work, we extend the ex…

eess.AS2022

Exploring WavLM on Speech Enhancement

Hyungchan Song, Sanyuan Chen, Zhuo Chen +5

There is a surge in interest in self-supervised learning approaches for end-to-end speech encoding in recent years as they have achieved great success. Especially, WavLM showed sta…

eess.AS2022★ 15 cited

Ultra Fast Speech Separation Model with Teacher Student Learning

Sanyuan Chen, Yu Wu, Zhuo Chen +5

Transformer has been successfully applied to speech separation recently with its strong long-dependency modeling capacity using a self-attention mechanism. However, Transformer ten…

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