Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

H Peng, H Wang, B Du, MZA Bhuiyan, H Ma, J Liu… - Information …, 2020 - Elsevier
Accurate and real-time traffic passenger flows forecasting at transportation hubs, such as
subway/bus stations, is a practical application and of great significance for urban traffic …

Exploiting blockchain data to detect smart ponzi schemes on ethereum

W Chen, Z Zheng, ECH Ngai, P Zheng, Y Zhou - IEEE Access, 2019 - ieeexplore.ieee.org
Blockchain technology becomes increasingly popular. It also attracts scams, for example, a
Ponzi scheme, a classic fraud, has been found making a notable amount of money on …

Spatio-temporal analysis of passenger travel patterns in massive smart card data

J Zhao, Q Qu, F Zhang, C Xu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Metro systems have become one of the most important public transit services in cities. It is
important to understand individual metro passengers' spatio-temporal travel patterns. More …

Surveillance and intervention of infrastructure-free mobile communications: A new wireless security paradigm

J Xu, L Duan, R Zhang - IEEE Wireless Communications, 2017 - ieeexplore.ieee.org
Conventional wireless security assumes wireless communications are legitimate, and aims
to protect them against malicious eavesdropping and jamming attacks. However, emerging …

Urban human mobility: Data-driven modeling and prediction

J Wang, X Kong, F Xia, L Sun - ACM SIGKDD explorations newsletter, 2019 - dl.acm.org
Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …

Federated anomaly analytics for local model poisoning attack

S Shi, C Hu, D Wang, Y Zhu… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
The local model poisoning attack is an attack to manipulate the shared local models during
the process of distributed learning. Existing defense methods are passive in the sense that …

Video-based fall detection using human pose and constrained generative adversarial network

L Wu, C Huang, L Fei, S Zhao, J Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Falls are a major health threat for older people. A timely assistance can reduce the extent of
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …

[PDF][PDF] Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction.

F Yi, Z Yu, F Zhuang, B Guo - IJCAI, 2019 - ijcai.org
Crime prediction has always been a crucial issue for public safety, and recent works have
shown the effectiveness of taking spatial correlation, such as region similarity or interaction …

Big data and emergency management: concepts, methodologies, and applications

X Song, H Zhang, R Akerkar, H Huang… - … Transactions on Big …, 2020 - ieeexplore.ieee.org
Recent decades have seen a significant increase in the frequency, intensity, and impact of
natural disasters and other emergencies, forcing the governments around the world to make …

大数据驱动的智能交通系统研究进展与趋势

余辰, 张丽娟, 金海 - 物联网学报, 2018 - infocomm-journal.com
传感器技术的发展与传感设备的普及推动了物联网系统的应用与发展, 作为物联网系统中的重要
组成部分, 智能交通系统也得到了长足的发展, 并从技术驱动时代进入了数据驱动时代 …