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researcher

Nuo Xu

4 papers hereh-index 6282 citations9 works total

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

author position
  • middle author1
  • last author1

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

fields
  • cs.CL1
  • cs.CV1
  • cs.LG1
  • physics.ins-det1
same name
  • Nuo Xu — 7 papers
  • Nuo Xu — 6 papers, h 3
  • Nuo Xu — 5 papers, h 8
  • Nuo Xu — 5 papers, h 3
  • Nuo Xu — 5 papers, h 2
  • Nuo Xu — 4 papers, h 4

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
20182023
most citedBeyond the N​ limit of the least squares resolution and the lucky model

4 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

MERGE: Fast Private Text Generation

Zi Liang, Pinghui Wang, Ruofei Zhang +3

The drastic increase in language models' parameters has led to a new trend of deploying models in cloud servers, raising growing concerns about private inference for Transformer-ba…

cs.CV2023★ 1 cited

PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis

Shu Wei, Nuo Xu

Document layout analysis has a wide range of requirements across various domains, languages, and business scenarios. However, most current state-of-the-art algorithms are language-…

cs.LG2020★ 1 cited

Learning Architectures from an Extended Search Space for Language Modeling

Yinqiao Li, Chi Hu, Yuhao Zhang +6

Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell. In…

physics.ins-det2018★ 4 cited

Beyond the N​ limit of the least squares resolution and the lucky model

Gregorio Landi, Giovanni E. Landi

A very simple Gaussian model is used to illustrate a new fitting result: a linear growth of the resolution with the number N of detecting layers. This rule is well beyond the well-…

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