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Min Zhang

11 papers hereh-index 91.1k citations11 works total

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

author position
  • first author1
  • middle author7
  • last author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.LG2
  • cs.DL1
  • math.OC1
same name
  • Min Zhang — 49 papers, h 11
  • Min Zhang — 32 papers, h 11
  • Min Zhang — 27 papers, h 7
  • Min Zhang — 25 papers, h 6
  • Min Zhang — 24 papers, h 26
  • Min Zhang — 23 papers, h 9

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
20172022
most citedLayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

59 citations · 99 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020★ 59 cited

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Yang Xu, Yiheng Xu, Tengchao Lv +9

Pre-training of text and layout has proved effective in a variety of visually-rich document understanding tasks due to its effective model architecture and the advantage of large-s…

cs.CL2020★ 5 cited

Code Summarization with Structure-induced Transformer

Hongqiu Wu, Hai Zhao, Min Zhang

Code summarization (CS) is becoming a promising area in recent language understanding, which aims to generate sensible human language automatically for programming language in the…

cs.LG2020

Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization

Min Zhang, Yao Shu, Kun He

Finite-sum optimization plays an important role in the area of machine learning, and hence has triggered a surge of interest in recent years. To address this optimization problem,…

math.OC2020★ 1 cited

Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem

Kun He, Min Zhang, Jianrong Zhou +2

Stochastic gradient descent (SGD) is a powerful method for large-scale optimization problems in the area of machine learning, especially for a finite-sum formulation with numerous…

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