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Yang Feng

4 papers hereh-index 428 citations5 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Yang Feng — 38 papers, h 14
  • Yang Feng — 34 papers, h 23
  • Yang Feng — 25 papers, h 29
  • Yang Feng — 15 papers, h 11
  • Yang Feng — 10 papers, h 14
  • Yang Feng — 9 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
20232025
most citedNon-autoregressive Machine Translation with Probabilistic Context-free Grammar

8 citations · 8 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space

Zhengrui Ma, Yang Feng, Chenze Shao +3

We introduce SLED, an alternative approach to speech language modeling by encoding speech waveforms into sequences of continuous latent representations and modeling them autoregres…

cs.CL2024

Overcoming Non-monotonicity in Transducer-based Streaming Generation

Zhengrui Ma, Yang Feng, Min Zhang

Streaming generation models are utilized across fields, with the Transducer architecture being popular in industrial applications. However, its input-synchronous decoding mechanism…

cs.CL2023★ 8 cited

Non-autoregressive Machine Translation with Probabilistic Context-free Grammar

Shangtong Gui, Chenze Shao, Zhengrui Ma +3

Non-autoregressive Transformer(NAT) significantly accelerates the inference of neural machine translation. However, conventional NAT models suffer from limited expression power and…

cs.CL2023

Beyond MLE: Convex Learning for Text Generation

Chenze Shao, Zhengrui Ma, Min Zhang +1

Maximum likelihood estimation (MLE) is a statistical method used to estimate the parameters of a probability distribution that best explain the observed data. In the context of tex…

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