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Yang Feng

38 papers hereh-index 14795 citations40 works total

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

author position
  • middle author5
  • last author32

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.CV6
  • cs.LG4
  • cs.AI1
same name
  • Yang Feng — 47 papers, h 29
  • Yang Feng — 35 papers, h 23
  • Yang Feng — 19 papers, h 14
  • Yang Feng — 17 papers, h 10
  • Yang Feng — 15 papers, h 11
  • Yang Feng — 12 papers, h 8

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
20232026
most citedA Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation

6 citations · 18 across the 37 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023★ 2 cited

Unified Segment-to-Segment Framework for Simultaneous Sequence Generation

Shaolei Zhang, Yang Feng

Simultaneous sequence generation is a pivotal task for real-time scenarios, such as streaming speech recognition, simultaneous machine translation and simultaneous speech translati…

cs.CL2023

Simultaneous Machine Translation with Tailored Reference

Shoutao Guo, Shaolei Zhang, Yang Feng

Simultaneous machine translation (SiMT) generates translation while reading the whole source sentence. However, existing SiMT models are typically trained using the same reference…

cs.CL2023

Non-autoregressive Streaming Transformer for Simultaneous Translation

Zhengrui Ma, Shaolei Zhang, Shoutao Guo +3

Simultaneous machine translation (SiMT) models are trained to strike a balance between latency and translation quality. However, training these models to achieve high quality while…

cs.CV2023

Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation

Wenyu Guo, Qingkai Fang, Dong Yu +1

Multimodal machine translation (MMT) simultaneously takes the source sentence and a relevant image as input for translation. Since there is no paired image available for the input…

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