10.1k citations · 21.9k across the 280 of their papers we have counts for
8 papers · 1 filter
Discovering Organizational Correlations from Twitter
Jingyuan Zhang, Xiaoxiao Shi, Xiangnan Kong +2
Organizational relationships are usually very complex in real life. It is difficult or impossible to directly measure such correlations among different organizations, because impor…
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages
Lifang He, Xiangnan Kong, Philip S. Yu +3
With advances in data collection technologies, tensor data is assuming increasing prominence in many applications and the problem of supervised tensor learning has emerged as a top…
Future Influence Ranking of Scientific Literature
Senzhang Wang, Sihong Xie, Xiaoming Zhang +3
Researchers or students entering a emerging research area are particularly interested in what newly published papers will be most cited and which young researchers will become infl…
Large-Scale Multi-Label Learning with Incomplete Label Assignments
Xiangnan Kong, Zhaoming Wu, Li-Jia Li +4
Multi-label learning deals with the classification problems where each instance can be assigned with multiple labels simultaneously. Conventional multi-label learning approaches ma…
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events
Ning Yang, Xiangnan Kong, Fengjiao Wang +1
Predicting both the time and the location of human movements is valuable but challenging for a variety of applications. To address this problem, we propose an approach considering…
HRank: A Path based Ranking Framework in Heterogeneous Information Network
Yitong Li, Chuan Shi, Philip S. Yu +1
Recently, there is a surge of interests on heterogeneous information network analysis. As a newly emerging network model, heterogeneous information networks have many unique featur…