69 citations · 336 across the 32 of their papers we have counts for
5 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…
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…
Privacy Preserving Social Network Publication Against Mutual Friend Attacks
Chongjing Sun, Philip S. Yu, Xiangnan Kong +1
Publishing social network data for research purposes has raised serious concerns for individual privacy. There exist many privacy-preserving works that can deal with different atta…