Federated learning in intelligent transportation systems: Recent applications and open problems

S Zhang, J Li, L Shi, M Ding, DC Nguyen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …

Deep neural networks for spatial-temporal cyber-physical systems: A survey

AA Musa, A Hussaini, W Liao, F Liang, W Yu - Future Internet, 2023 - mdpi.com
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …

ImputeFormer: Low rankness-induced transformers for generalizable spatiotemporal imputation

T Nie, G Qin, W Ma, Y Mei, J Sun - … of the 30th ACM SIGKDD Conference …, 2024 - dl.acm.org
Missing data is a pervasive issue in both scientific and engineering tasks, especially for the
modeling of spatiotemporal data. Existing imputation solutions mainly include low-rank …

Multi-range bidirectional mask graph convolution based GRU networks for traffic prediction

N Hu, D Zhang, K **e, W Liang, C Diao, KC Li - Journal of Systems …, 2022 - Elsevier
Traffic prediction is a critical component in intelligent traffic systems, as the complicated
spatial relationships and temporal dynamics in the traffic data make it a challenging task …

Modeling and analysis of port supply chain system based on Fabric blockchain

N Gao, D Han, TH Weng, B **a, D Li… - Computers & Industrial …, 2022 - Elsevier
With the development of international trade, the core position of port transportation
progressively emerges. However, most current port supply chain systems adopt a …

Lightnestle: quick and accurate neural sequential tensor completion via meta learning

Y Li, W Liang, K **e, D Zhang, S **e… - IEEE INFOCOM 2023 …, 2023 - ieeexplore.ieee.org
Network operation and maintenance rely heavily on network traffic monitoring. Due to the
measurement overhead reduction, lack of measurement infrastructure, and unexpected …

BFG: privacy protection framework for internet of medical things based on blockchain and federated learning

W Liu, Y He, X Wang, Z Duan, W Liang… - Connection Science, 2023 - Taylor & Francis
The deep integration of Internet of Medical Things (IoMT) and Artificial intelligence makes
the further development of intelligent medical services possible, but privacy leakage and …

LRCN: Layer-residual Co-Attention Networks for visual question answering

D Han, J Shi, J Zhao, H Wu, Y Zhou, LH Li… - Expert Systems with …, 2025 - Elsevier
Abstract Visual Question Answering (VQA) is a multimodal task requiring a collaborative
understanding of fine-grained visual concepts and language semantics. The key to VQA …

Securing social platform from misinformation using deep learning

PK Roy, AK Tripathy, TH Weng, KC Li - Computer Standards & Interfaces, 2023 - Elsevier
People are easily duped by fake news and start to share it on their networks. With high
frequency, fake news causes panic and forces people to engage in unethical behavior such …

IdenMultiSig: Identity-based decentralized multi-signature in internet of things

H Liu, D Han, M Cui, KC Li, A Souri… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Most devices in the Internet of Things (IoT) work on unsafe networks and are constrained by
limited computing, power, and storage resources. Since the existing centralized signature …