6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.IR2020★ 2 cited
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Qiong Wu, Adam Hare, Sirui Wang +4
Existing topic modeling and text segmentation methodologies generally require large datasets for training, limiting their capabilities when only small collections of text are avail…
cs.DC2020★ 6 cited
Network-Aware Optimization of Distributed Learning for Fog Computing
Su Wang, Yichen Ruan, Yuwei Tu +3
Fog computing promises to enable machine learning tasks to scale to large amounts of data by distributing processing across connected devices. Two key challenges to achieving this…
cs.LG2020★ 4 cited
A Deep Learning Approach to Behavior-Based Learner Modeling
Yuwei Tu, Weiyu Chen, Christopher G. Brinton
The increasing popularity of e-learning has created demand for improving online education through techniques such as predictive analytics and content recommendations. In this paper…