4.8k citations · 5.9k across the 13 of their papers we have counts for
4 papers · 1 filter
Less is More: Learning Prominent and Diverse Topics for Data Summarization
Jian Tang, Cheng Li, Ming Zhang +1
Statistical topic models efficiently facilitate the exploration of large-scale data sets. Many models have been developed and broadly used to summarize the semantic structure in ne…
Context-aware Natural Language Generation with Recurrent Neural Networks
Jian Tang, Yifan Yang, Sam Carton +2
This paper studied generating natural languages at particular contexts or situations. We proposed two novel approaches which encode the contexts into a continuous semantic represen…
Identity-sensitive Word Embedding through Heterogeneous Networks
Jian Tang, Meng Qu, Qiaozhu Mei
Most existing word embedding approaches do not distinguish the same words in different contexts, therefore ignoring their contextual meanings. As a result, the learned embeddings o…
Visualizing Large-scale and High-dimensional Data
Jian Tang, Jingzhou Liu, Ming Zhang +1
We study the problem of visualizing large-scale and high-dimensional data in a low-dimensional (typically 2D or 3D) space. Much success has been reported recently by techniques tha…