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Yifan Liu

46 papers hereh-index 325.2k citations64 works total

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

author position
  • first author8
  • middle author26
  • last author9

Across the 43 of 46 papers where every author was matched, so the position is known.

fields
  • cs.CV40
  • cs.CL3
  • cs.IR1
  • cs.SI1
  • eess.IV1
same name
  • Yifan Liu — 14 papers, h 3
  • Yifan Liu — 12 papers, h 14
  • Yifan Liu — 11 papers, h 6
  • Yifan Liu — 8 papers, h 6
  • Yifan Liu — 8 papers, h 6
  • Yifan Liu — 6 papers, h 7

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
20172023
most citedSegment Anything in High Quality

110 citations · 584 across the 45 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 78 cited

Data Augmentation in Emotion Classification Using Generative Adversarial Networks

Xinyue Zhu, Yifan Liu, Zengchang Qin +1

It is a difficult task to classify images with multiple class labels using only a small number of labeled examples, especially when the label (class) distribution is imbalanced. Em…

cs.CL2017

Logical Parsing from Natural Language Based on a Neural Translation Model

Liang Li, Pengyu Li, Yifan Liu +2

Semantic parsing has emerged as a significant and powerful paradigm for natural language interface and question answering systems. Traditional methods of building a semantic parser…

cs.CV2017★ 68 cited

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks

Yifan Liu, Zengchang Qin, Zhenbo Luo +1

Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Images can be generated at the pixel level by learni…

cs.SI2017★ 8 cited

Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis

Yifan Liu, Zengchang Qin, Pengyu Li +1

In this paper, we propose a model to analyze sentiment of online stock forum and use the information to predict the stock volatility in the Chinese market. We have labeled the sent…

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