3 citations · 3 across the 1 of their papers we have counts for
4 papers
Improving Pairwise Ranking for Multi-label Image Classification
Yuncheng Li, Yale Song, Jiebo Luo
Learning to rank has recently emerged as an attractive technique to train deep convolutional neural networks for various computer vision tasks. Pairwise ranking, in particular, has…
To Follow or Not to Follow: Analyzing the Growth Patterns of the Trumpists on Twitter
Yu Wang, Jiebo Luo, Richard Niemi +1
In this paper, we analyze the growth patterns of Donald Trump's followers (Trumpists, henceforth) on Twitter. We first construct a random walk model with a time trend to study the…
Catching Fire via "Likes": Inferring Topic Preferences of Trump Followers on Twitter
Yu Wang, Jiebo Luo, Richard Niemi +2
In this paper, we propose a framework to infer the topic preferences of Donald Trump's followers on Twitter. We first use latent Dirichlet allocation (LDA) to derive the weighted m…
Deciphering the 2016 U.S. Presidential Campaign in the Twitter Sphere: A Comparison of the Trumpists and Clintonists
Yu Wang, Yuncheng Li, Jiebo Luo
In this paper, we study follower demographics of Donald Trump and Hillary Clinton, the two leading candidates in the 2016 U.S. presidential race. We build a unique dataset US2016,…