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researcher

Zirui Wang

8 papers hereh-index 13594 citations24 works total

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

author position
  • sole author2
  • first author2
  • middle author3
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.AI1
  • cs.LG1
  • cs.SD1
same name
  • Zirui Wang — 58 papers, h 21
  • Zirui Wang — 18 papers, h 10
  • Zirui Wang — 16 papers, h 11
  • Zirui Wang — 12 papers, h 10
  • Zirui Wang — 6 papers
  • Zirui Wang — 6 papers, h 33

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
20182024
most citedAttention Based Fully Convolutional Network for Speech Emotion Recognition

116 citations · 137 across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018

Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition

Zi-Rui Wang, Jun Du, Jia-Ming Wang

Recently, the hybrid convolutional neural network hidden Markov model (CNN-HMM) has been introduced for offline handwritten Chinese text recognition (HCTR) and has achieved state-o…

cs.CV2018

Parsimonious HMMs for Offline Handwritten Chinese Text Recognition

Wenchao Wang, Jun Du, Zi-Rui Wang

Recently, hidden Markov models (HMMs) have achieved promising results for offline handwritten Chinese text recognition. However, due to the large vocabulary of Chinese characters w…

cs.CV2018★ 11 cited

DenseRAN for Offline Handwritten Chinese Character Recognition

Wenchao Wang, Jianshu Zhang, Jun Du +2

Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…

cs.SD2018★ 116 cited

Attention Based Fully Convolutional Network for Speech Emotion Recognition

Yuanyuan Zhang, Jun Du, Zirui Wang +1

Speech emotion recognition is a challenging task for three main reasons: 1) human emotion is abstract, which means it is hard to distinguish; 2) in general, human emotion can only…

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