180 citations · 217 across the 6 of their papers we have counts for
6 papers
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen +3
In collaborative filtering (CF) algorithms, the optimal models are usually learned by globally minimizing the empirical risks averaged over all the observed data. However, the glob…
Collaborative Filtering with Stability
Dongsheng Li, Chao Chen, Qin Lv +3
Collaborative filtering (CF) is a popular technique in today's recommender systems, and matrix approximation-based CF methods have achieved great success in both rating prediction…
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
Event sequence, asynchronously generated with random timestamp, is ubiquitous among applications. The precise and arbitrary timestamp can carry important clues about the underlying…
A constrained clustering based approach for matching a collection of feature sets
Junchi Yan, Zhe Ren, Hongyuan Zha +1
In this paper, we consider the problem of finding the feature correspondences among a collection of feature sets, by using their point-wise unary features. This is a fundamental pr…
Sales pipeline win propensity prediction: a regression approach
Junchi Yan, Min Gong, Changhua Sun +2
Sales pipeline analysis is fundamental to proactive management of an enterprize's sales pipeline and critical for business success. In particular, win propensity prediction, which…
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting
Junchi Yan, Minsu Cho, Hongyuan Zha +2
This paper addresses the problem of matching weighted graphs referring to an identical object or category. More specifically, matching the common node correspondences among gra…