Back
  1. Home
  3. Detailed Reference
Download
Article (Scientific journals)
Spatio-Temporal Predictive Learning Using Crossover Attention for Communications and Networking Applications
HE, Ke; VU, Thang Xuan; Fan, Li sheng et al.
2025 • In IEEE Transactions on Machine Learning in Communications and Networking, 3, p. 479-490
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/66560
DOI
10.1109/TMLCN.2025.3555975
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
Spatio-Temporal_Predictive_Learning_Using_Crossover_Attention_for_Communications_and_Networking_Applications.pdf
Author postprint (1.58 MB) Creative Commons License - Attribution
Download

All documents in ORBilu are protected by a user license.

Send to


Details


Keywords :
Spatio-temporal; multivariate time series; traffic prediction; crossover attention; trans-former model; deep learning
Disciplines :
Computer science
Author, co-author :
HE, Ke  ;  University of Luxembourg
VU, Thang Xuan  ;  University of Luxembourg
Fan, Li sheng ;  School of Computer Science, Guangzhou University, Guangzhou, China
CHATZINOTAS, Symeon  ;  University of Luxembourg
OTTERSTEN, Björn  ;  University of Luxembourg
External co-authors :
yes
Language :
English
Title :
Spatio-Temporal Predictive Learning Using Crossover Attention for Communications and Networking Applications
Publication date :
09 April 2025
Journal title :
IEEE Transactions on Machine Learning in Communications and Networking
eISSN :
2831-316X
Publisher :
Institute of Electrical and Electronics Engineers (IEEE)
Volume :
3
Pages :
479-490
Peer reviewed :
Peer Reviewed verified by ORBi
Additional URL :
http://xplorestaging.ieee.org/ielx8/9882533/10792972/10945971.pdf?arnumber=10945971
Funders :
Luxembourg National Research Fund
National Natural Science Foundation of China
Guangdong Provincial Key Research and Development Program
Available on ORBilu :
since 28 November 2025

Statistics

Number of views
6 (1 by Unilu)
Number of downloads
1 (0 by Unilu)
More statistics
OpenCitations
 
0
OpenAlex citations
 
0
WoS citations™
 
0

Bibliography

Similar publications


Contact ORBilu