Research
Embedding information networks into low-dimensional spaces is potentially useful in many applications such as visualization, node classification, link prediction and recommendation. In this project, we proposed a large-scale information network embedding model called the “LINE”,…
Every day, the population of New York regions shrinks and swells as people travel into and around the city. With six million daily trips, the subway system is one of the main conduits for these…
Unlike passive humor appreciation, the neural correlates of real-time humor creation have been unexplored. As a case study for creativity, humor creation uniquely affords a reliable assessment of a creative product’s quality, subjects’ expertise, and…
With the widespread adoption of proprietary social networks like Facebook and mobile chat platforms like Wechat, we may be heading to a future where all our communication are monetized and our online transactions are mediated…
