◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mingqi Zhao

3 papers hereh-index 11590 citations19 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA novel convolutional neural network model to remove muscle artifacts from EEG

9 citations · 17 across the 3 of their papers we have counts for

collaborators
Showing eess.SPShow all

2 papers · 1 filter

eess.SP2020★ 9 cited

A novel convolutional neural network model to remove muscle artifacts from EEG

Haoming Zhang, Chen Wei, Mingqi Zhao +2

The recorded electroencephalography (EEG) signals are usually contaminated by many artifacts. In recent years, deep learning models have been used for denoising of electroencephalo…

eess.SP2020★ 7 cited

EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising

Haoming Zhang, Mingqi Zhao, Chen Wei +3

Deep learning networks are increasingly attracting attention in various fields, including electroencephalography (EEG) signal processing. These models provided comparable performan…

◍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.