13 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 3 cited
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang +5
In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applicatio…
cs.LG2016★ 2 cited
Uncovering Locally Discriminative Structure for Feature Analysis
Sen Wang, Feiping Nie, Xiaojun Chang +3
Manifold structure learning is often used to exploit geometric information among data in semi-supervised feature learning algorithms. In this paper, we find that local discriminati…
cs.LG2015★ 13 cited
Unsupervised Feature Analysis with Class Margin Optimization
Sen Wang, Feiping Nie, Xiaojun Chang +3
Unsupervised feature selection has been always attracting research attention in the communities of machine learning and data mining for decades. In this paper, we propose an unsupe…