Knowledge-aware multi-modal adaptive graph convolutional networks for fake news detection

S Qian, J Hu, Q Fang, C Xu - ACM Transactions on Multimedia …, 2021 - dl.acm.org
In this article, we focus on fake news detection task and aim to automatically identify the fake
news from vast amount of social media posts. To date, many approaches have been …

Multi-modal event topic model for social event analysis

S Qian, T Zhang, C Xu, J Shao - IEEE transactions on …, 2015 - ieeexplore.ieee.org
With the massive growth of social events in Internet, it has become more and more difficult to
exactly find and organize the interesting events from massive social media data, which is …

Multi-level multi-modal cross-attention network for fake news detection

L Ying, H Yu, J Wang, Y Ji, S Qian - IEEE Access, 2021 - ieeexplore.ieee.org
With the development of the Mobile Internet, more and more users publish multi-modal posts
on social media platforms. Fake news detection has become an increasingly challenging …

Positive unlabeled fake news detection via multi-modal masked transformer network

J Wang, S Qian, J Hu, R Hong - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fake news detection has gotten continuous attention during these years with more and more
people have been posting and reading news online. To enable fake news detection, existing …

An interactive visual analytics platform for smart intelligent transportation systems management

I Kalamaras, A Zamichos, A Salamanis… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The reduction of road congestion requires intuitive urban congestion-control platforms that
can facilitate transport stakeholders in decision making. Interactive ITS visual analytics tools …

Fake news detection via multi-modal topic memory network

L Ying, HUI Yu, J Wang, Y Ji, S Qian - IEEE Access, 2021 - ieeexplore.ieee.org
With the development of the Mobile Internet, more and more people create and release multi-
modal posts on social media platforms. Fake news detection has become an increasingly …

Admission and congestion control for 5G network slicing

B Han, A DeDomenico, G Dandachi… - … IEEE Conference on …, 2018 - ieeexplore.ieee.org
Network Slicing has been widely accepted as essential feature of future 5 th Generation (5G)
mobile communication networks. Accounting the potentially dense demand of network slices …

Knowledge-based topic model for multi-modal social event analysis

F Xue, R Hong, X He, J Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the accumulation of data on the Internet and progress in representation learning
techniques, knowledge priors learned from a large-scale knowledge base has been …

IoT threat mitigation engine empowered by artificial intelligence multi-objective optimization

A Mpatziakas, A Drosou, S Papadopoulos… - Journal of Network and …, 2022 - Elsevier
From smart homes to smart cities and Industry 4.0 to Transportation Systems, Internet of
Things (IoT) is a domain which promises incredible growth coupled with great impact, in …

Generation of a flat-top magnetic field with multiple-capacitor power supply

D Li, H Ding, Y Fang, S Zhang, D Pan - IEEE Access, 2022 - ieeexplore.ieee.org
The flat-top magnetic field (FTMF) can meet scientific experimental requirements for higher
magnetic intensity, longer flat-top pulse width, and lower ripple in physics, chemistry …