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Yu Wu

50 papers hereh-index 2713.2k citations90 works total

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

author position
  • first author3
  • middle author31
  • last author2

Across the 36 of 50 papers where every author was matched, so the position is known.

fields
  • cs.CL19
  • cs.LG8
  • cs.AI6
  • cs.CV5
  • cs.SD4
  • eess.AS3
same name
  • Yu Wu — 44 papers, h 26
  • Yu Wu — 30 papers, h 33
  • Yu Wu — 15 papers, h 13
  • Yu Wu — 7 papers
  • Yu Wu — 5 papers, h 4
  • Yu Wu — 4 papers, h 18

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
20182026
most citedDeepSeek-V3 Technical Report

268 citations · 349 across the 37 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2026

AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling

Jiacheng Shi, Hongfei Du, Xinyuan Song +3

Neural speech codecs provide discrete representations for speech language models, but emotional cues are often degraded during quantization. Existing codecs mainly optimize acousti…

cs.SD2024★ 8 cited

Advanced Long-Content Speech Recognition With Factorized Neural Transducer

Xun Gong, Yu Wu, Jinyu Li +4

In this paper, we propose two novel approaches, which integrate long-content information into the factorized neural transducer (FNT) based architecture in both non-streaming (refer…

cs.SD2022★ 2 cited

The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022

Gang Liu, Tianyan Zhou, Yong Zhao +4

In this report, we describe our submitted system for track 2 of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22). We fuse a variety of good-performing models ranging fro…

cs.SD2022

Speech Pre-training with Acoustic Piece

Shuo Ren, Shujie Liu, Yu Wu +2

Previous speech pre-training methods, such as wav2vec2.0 and HuBERT, pre-train a Transformer encoder to learn deep representations from audio data, with objectives predicting eithe…

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