Hi! I am a Ph.D. candidate of Computer Science in
Beihang University under supervision of Professor
Ke Xu. My research focuses on computational social science, social media and machine learning.
I am also an intern researcher and big-data engineer in Company of Warming Technology, in charge of the analysis on online social networks and stock markets.
How Brainwashing Songs Wash the Brain
The study explores the method to recognize those "brainwashing" songs and try to find an effective and accurate way to predict
the popularity of songs. In addition, through the EEG experiment, the research verifies that brainwiashing songs could have some impact on human brain.
Losses Loom Larger than Gains in Social Media
This research investigates the association between stock market and corresponding online behaviors in social media. It is revealed that people are not only sensitive to losses than to gains, but also attach great importance to losses, which
demonstrate the robustness of the sensitive and attentional effect of losses.
Tales of Emotion and Stock in China: Volatility, Causality and Prediction
World Wide Web, 2017.
Can Online Emotions Predict the Stock Market in China?
Web Information Systems Engineering (WISE), 2016.
Extroverts Tweet Differently from Introverts in Weibo
Homophily of Music Listening in Online Social Networks
The analyzing results in this manuscript demonstrate that the humans linked by online social networks indeed appreciate the identical songs
and have the similar music preferences.
Dance music joints musicians of different genres
Through systematically studying the collaboration network of musicians, we conclude that dance music plays an essential role in promoting the collaboration of musicians in music creation.
SONG IS U
This project is collecting kinds of real-time data in Netease Music platform, including the massive user listening behaivor.
Through online analyzing the indivdual and collective listening records, we uncover ''WHO ARE U'' in music.
Stock Prediction System with SVM-ES
The system applys the SVM based on online emotions to predict the price and volume of stock market in China.
It provides the prediction results to Company of Warming Technology for paid service.