78 citations · 95 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
Text Generation Based on Generative Adversarial Nets with Latent Variable
Heng Wang, Zengchang Qin, Tao Wan
In this paper, we propose a model using generative adversarial net (GAN) to generate realistic text. Instead of using standard GAN, we combine variational autoencoder (VAE) with ge…
Motif Iteration Model for Network Representation
Lintao Lv, Zengchang Qin, Tao Wan
Social media mining has become one of the most popular research areas in Big Data with the explosion of social networking information from Facebook, Twitter, LinkedIn, Weibo and so…
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…
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…
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…