571 citations · 1.9k across the 53 of their papers we have counts for
6 papers · 1 filter
Find the Conversation Killers: a Predictive Study of Thread-ending Posts
Yunhao Jiao, Cheng Li, Fei Wu +1
How to improve the quality of conversations in online communities has attracted considerable attention recently. Having engaged, urbane, and reactive online conversations has a cri…
Representation Learning for Scale-free Networks
Rui Feng, Yang Yang, Wenjie Hu +2
Network embedding aims to learn the low-dimensional representations of vertexes in a network, while structure and inherent properties of the network is preserved. Existing network…
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He +3
Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions. Despite effectiven…
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection
Lina Wei, Fangfang Wang, Xi Li +2
As an important and challenging problem in computer vision, video saliency detection is typically cast as a spatiotemporal context modeling problem over consecutive frames. As a re…
Group-wise Deep Co-saliency Detection
Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla +2
In this paper, we propose an end-to-end group-wise deep co-saliency detection approach to address the co-salient object discovery problem based on the fully convolutional network (…
Transductive Zero-Shot Learning with a Self-training dictionary approach
Yunlong Yu, Zhong Ji, Xi Li +4
As an important and challenging problem in computer vision, zero-shot learning (ZSL) aims at automatically recognizing the instances from unseen object classes without training dat…