102 citations · 188 across the 8 of their papers we have counts for
8 papers
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning
Tiantian Chen, Siwen Yan, Jianxiong Guo +1
Aiming at selecting a small subset of nodes with maximum influence on networks, the Influence Maximization (IM) problem has been extensively studied. Since it is #P-hard to compute…
Graph Representation Learning for Popularity Prediction Problem: A Survey
Tiantian Chen, Jianxiong Guo, Weili Wu
The online social platforms, like Twitter, Facebook, LinkedIn and WeChat, have grown really fast in last decade and have been one of the most effective platforms for people to comm…
Blockchain Driven Privacy Preserving Contact Tracing Framework in Pandemics
Xiao Li, Weili Wu, Tiantian Chen
Contact tracing has been proven an effective approach to control the virus spread in pandemics like COVID-19 pandemic. As an emerging powerful decentralized technique, blockchain h…
Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
Runjia Du, Sikai Chen, Jiqian Dong +3
Past research and practice have demonstrated that dynamic rerouting framework is effective in mitigating urban traffic congestion and thereby improve urban travel efficiency. It ha…
A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks
Tiantian Chen, Bin Liu, Wenjing Liu +3
Online social networks have been one of the most effective platforms for marketing and advertising. Through "word of mouth" effects, information or product adoption could spread fr…
Adaptive Multi-Feature Budgeted Profit Maximization in Social Networks
Tiantian Chen, Jianxiong Guo, Weili Wu
Online social network has been one of the most important platforms for viral marketing. Most of existing researches about diffusion of adoptions of new products on networks are abo…
Continuous Activity Maximization in Online Social Networks
Jianxiong Guo, Tiantian Chen, Weili Wu
Activity maximization is a task of seeking a small subset of users in a given social network that makes the expected total activity benefit maximized. This is a generalization of m…
A Multi-Feature Diffusion Model: Rumor Blocking in Social Networks
Jianxiong Guo, Tiantian Chen, Weili Wu
Online social networks provide a convenient platform for the spread of rumors, which could lead to serious aftermaths such as economic losses and public panic. The classical rumor…