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Zhenyu Gu

4 papers hereh-index 2165 citations6 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.HC2
  • cs.AR1
  • cs.CV1
same name
  • Zhenyu Gu — 2 papers, h 4
  • Zhenyu Gu — 1 paper, h 7
  • Zhenyu Gu — 1 paper
  • Zhenyu Gu — 1 paper, h 10
  • Zhenyu Gu — 1 paper, h 4
  • Zhenyu Gu — 1 paper

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
20202023
most citedEnergon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention

7 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.HC2023

A foolish consistency? Aligning interface objects hinders location recall and may induce collinear errors

Peter Zelchenko, Li Xiangqian, Fu Xiaohan +2

During our nearly constant use of digital devices, perhaps our most frequent need is to visually identify icons representing our content and invoke the actions to manipulate them.…

cs.AR2021★ 7 cited

Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention

Zhe Zhou, Junlin Liu, Zhenyu Gu +1

In recent years, transformer models have revolutionized Natural Language Processing (NLP) and shown promising performance on Computer Vision (CV) tasks. Despite their effectiveness…

cs.CV2021★ 3 cited

Distribution Adaptive INT8 Quantization for Training CNNs

Kang Zhao, Sida Huang, Pan Pan +4

Researches have demonstrated that low bit-width (e.g., INT8) quantization can be employed to accelerate the inference process. It makes the gradient quantization very promising sin…

cs.HC2020

Display object alignment may influence location recall in unexpected ways

Peter Zelchenko, Xiaohan Fu, Xiangqian Li +2

There is a presumption in human-computer interaction that laying out menus and most other material in neat rows and columns helps users get work done. The rule has been so implicit…

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