◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mingliang Zhang

4 papers hereh-index 481 citations5 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.LG2
  • cs.CL1
  • cs.CV1
same name
  • Mingliang Zhang — 10 papers, h 11
  • Mingliang Zhang — 2 papers, h 2
  • Mingliang Zhang — 1 paper
  • Mingliang Zhang — 1 paper, h 6
  • Mingliang Zhang — 1 paper, h 1

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
20212023
most citedConvolution-enhanced Evolving Attention Networks

13 citations · 26 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 3 cited

WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents

Mingliang Zhang, Zhen Cao, Juntao Liu +3

In this paper, we introduce WeLayout, a novel system for segmenting the layout of corporate documents, which stands for WeChat Layout Analysis System. Our approach utilizes a sophi…

cs.LG2022★ 13 cited

Convolution-enhanced Evolving Attention Networks

Yujing Wang, Yaming Yang, Zhuo Li +7

Attention-based neural networks, such as Transformers, have become ubiquitous in numerous applications, including computer vision, natural language processing, and time-series anal…

cs.CL2021

Competence-based Curriculum Learning for Multilingual Machine Translation

Mingliang Zhang, Fandong Meng, Yunhai Tong +1

Currently, multilingual machine translation is receiving more and more attention since it brings better performance for low resource languages (LRLs) and saves more space. However,…

cs.LG2021★ 10 cited

Evolving Attention with Residual Convolutions

Yujing Wang, Yaming Yang, Jiangang Bai +6

Transformer is a ubiquitous model for natural language processing and has attracted wide attentions in computer vision. The attention maps are indispensable for a transformer model…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.