activity
20112022
most citedModeling Information Diffusion in Online Social Networks with Partial Differential Equations

9 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2022★ 2 cited

Adaptive Algorithm for Quantum Amplitude Estimation

Yunpeng Zhao, Haiyan Wang, Kuai Xu +3

Quantum amplitude estimation is a key sub-routine of a number of quantum algorithms with various applications. We propose an adaptive algorithm for interval estimation of amplitude…

cs.NI2021

IoTAthena: Unveiling IoT Device Activities from Network Traffic

Yinxin Wan, Kuai Xu, Feng Wang +1

The recent spate of cyber attacks towards Internet of Things (IoT) devices in smart homes calls for effective techniques to understand, characterize, and unveil IoT device activiti…

cs.SI2017★ 3 cited

Size Matters: A Comparative Analysis of Community Detection Algorithms

Paul Wagenseller, Feng Wang

Understanding community structure of social media is critical due to its broad applications such as friend recommendations, user modeling and content personalizations. Existing res…

stat.ML2017★ 1 cited

On Consistency of Graph-based Semi-supervised Learning

Chengan Du, Yunpeng Zhao, Feng Wang

Graph-based semi-supervised learning is one of the most popular methods in machine learning. Some of its theoretical properties such as bounds for the generalization error and the…

cs.SI2013★ 9 cited

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations

Haiyan Wang, Feng Wang, Kuai Xu

Online social networks such as Twitter and Facebook have gained tremendous popularity for information exchange. The availability of unprecedented amounts of digital data has accele…

cs.SI2011★ 2 cited

Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks

Feng Wang, Haiyan Wang, Kuai Xu

Online social networks have recently become an effective and innovative channel for spreading information and influence among hundreds of millions of end users. Many prior work hav…