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researcher

Meng Zhang

4 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
ORCID 0000-0003-2188-8195
same name
  • Meng Zhang — 7 papers, h 12
  • Meng Zhang — 6 papers, h 0
  • Meng Zhang — 5 papers, h 14
  • Meng Zhang — 4 papers
  • Meng Zhang — 4 papers
  • Meng Zhang — 3 papers

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
20192023
most citedMulti-Granularity Reasoning for Social Relation Recognition from Images

4 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Evaluating the Efficacy of Length-Controllable Machine Translation

Hao Cheng, Meng Zhang, Weixuan Wang +3

Length-controllable machine translation is a type of constrained translation. It aims to contain the original meaning as much as possible while controlling the length of the transl…

cs.CL2023

End-to-end Training and Decoding for Pivot-based Cascaded Translation Model

Hao Cheng, Meng Zhang, Liangyou Li +2

Utilizing pivot language effectively can significantly improve low-resource machine translation. Usually, the two translation models, source-pivot and pivot-target, are trained ind…

cs.CV2021

SimulSLT: End-to-End Simultaneous Sign Language Translation

Aoxiong Yin, Zhou Zhao, Jinglin Liu +4

Sign language translation as a kind of technology with profound social significance has attracted growing researchers' interest in recent years. However, the existing sign language…

cs.CV2019★ 4 cited

Multi-Granularity Reasoning for Social Relation Recognition from Images

Meng Zhang, Xinchen Liu, Wu Liu +3

Discovering social relations in images can make machines better interpret the behavior of human beings. However, automatically recognizing social relations in images is a challengi…

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