24 citations · 66 across the 24 of their papers we have counts for
6 papers · 1 filter
Robust Spammer Detection by Nash Reinforcement Learning
Yingtong Dou, Guixiang Ma, Philip S. Yu +1
Online reviews provide product evaluations for customers to make decisions. Unfortunately, the evaluations can be manipulated using fake reviews ("spams") by professional spammers,…
Rigorous Explanation of Inference on Probabilistic Graphical Models
Yifei Liu, Chao Chen, Xi Zhang +1
Probabilistic graphical models, such as Markov random fields (MRF), exploit dependencies among random variables to model a rich family of joint probability distributions. Sophistic…
Scalable Explanation of Inferences on Large Graphs
Chao Chen, Yifei Liu, Xi Zhang +1
Probabilistic inferences distill knowledge from graphs to aid human make important decisions. Due to the inherent uncertainty in the model and the complexity of the knowledge, it i…
IAD: Interaction-Aware Diffusion Framework in Social Networks
Xi Zhang, Yuan Su, Siyu Qu +3
In networks, multiple contagions, such as information and purchasing behaviors, may interact with each other as they spread simultaneously. However, most of the existing informatio…
CENI: a Hybrid Framework for Efficiently Inferring Information Networks
Qingbo Hu, Sihong Xie, Shuyang Lin +2
Nowadays, the message diffusion links among users or websites drive the development of countless innovative applications. However, in reality, it is easier for us to observe the ti…
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…