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Ruyi Ji

4 papers hereh-index 11524 citations23 works total

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.CV2
  • cs.SE1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedWhat Does a TextCNN Learn?

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

collaborators

4 papers

cs.SE2020★ 2 cited

Interactive Patch Filtering as Debugging Aid

Jingjing Liang, Ruyi Ji, Jiajun Jiang +3

It is widely recognized that program repair tools need to have a high precision to be useful, i.e., the generated patches need to have a high probability to be correct. However, it…

cs.CV2019★ 3 cited

Learning Semantic Neural Tree for Human Parsing

Ruyi Ji, Dawei Du, Libo Zhang +5

The majority of existing human parsing methods formulate the task as semantic segmentation, which regard each semantic category equally and fail to exploit the intrinsic physiologi…

cs.CV2019

Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

Ruyi Ji, Longyin Wen, Libo Zhang +5

Fine-grained visual categorization (FGVC) is an important but challenging task due to high intra-class variances and low inter-class variances caused by deformation, occlusion, ill…

stat.ML2018★ 4 cited

What Does a TextCNN Learn?

Linyuan Gong, Ruyi Ji

TextCNN, the convolutional neural network for text, is a useful deep learning algorithm for sentence classification tasks such as sentiment analysis and question classification. Ho…

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