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researcher

Wei Xu

4 papers hereh-index 162.3k citations67 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CL2
  • cs.CV1
  • eess.SP1
same name
  • Wei Xu — 54 papers, h 63
  • Wei Xu — 43 papers, h 31
  • Wei Xu — 41 papers, h 44
  • Wei Xu — 37 papers, h 45
  • Wei Xu — 30 papers, h 44
  • Wei Xu — 19 papers, h 10

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
20172021
most citedEnergy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

58 citations · 128 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2021★ 52 cited

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53

We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of auto…

cs.CL2020

Code and Named Entity Recognition in StackOverflow

Jeniya Tabassum, Mounica Maddela, Wei Xu +1

There is an increasing interest in studying natural language and computer code together, as large corpora of programming texts become readily available on the Internet. For example…

eess.SP2020★ 58 cited

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

Zhaohui Yang, Mingzhe Chen, Walid Saad +4

This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multip…

cs.CV2017★ 18 cited

Occlusion Aware Unsupervised Learning of Optical Flow

Yang Wang, Yi Yang, Zhenheng Yang +3

It has been recently shown that a convolutional neural network can learn optical flow estimation with unsupervised learning. However, the performance of the unsupervised methods st…

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