Lei Jiao
Lei Jiao
Associate Professor of Information and Communication Technology, University of Agder
Verified email at - Homepage
Cited by
Cited by
A data-driven architecture for personalized QoE management in 5G wireless networks
Y Wang, P Li, L Jiao, Z Su, N Cheng, XS Shen, P Zhang
IEEE Wireless Communications 24 (1), 102-110, 2016
Analysis on channel bonding/aggregation for multi-channel cognitive radio networks
L Jiao, V Pla, FY Li
2010 European Wireless Conference (EW), 468-474, 2010
Channel assembling with priority-based queues in cognitive radio networks: Strategies and performance evaluation
IAM Balapuwaduge, L Jiao, V Pla, FY Li
IEEE transactions on wireless communications 13 (2), 630-645, 2013
Modeling and performance analysis of channel assembling in multichannel cognitive radio networks with spectrum adaptation
L Jiao, FY Li, V Pla
IEEE Transactions on Vehicular Technology 61 (6), 2686-2697, 2012
A deep learning approach for energy efficient computational offloading in mobile edge computing
Z Ali, L Jiao, T Baker, G Abbas, ZH Abbas, S Khaf
IEEE Access 7, 149623-149633, 2019
Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
GT Berge, OC Granmo, TO Tveit, M Goodwin, L Jiao, BV Matheussen
IEEE Access 7, 115134-115146, 2019
Dynamic channel aggregation strategies in cognitive radio networks with spectrum adaptation
L Jiao, FY Li, V Pla
2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-6, 2011
Analysis of load balancing and interference management in heterogeneous cellular networks
ZH Abbas, F Muhammad, L Jiao
IEEE Access 5, 14690-14705, 2017
The convolutional Tsetlin machine
OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge
arXiv preprint arXiv:1905.09688, 2019
Network slicing enabled resource management for service-oriented ultra-reliable and low-latency vehicular networks
Y Chen, Y Wang, M Liu, J Zhang, L Jiao
IEEE Transactions on Vehicular Technology 69 (7), 7847-7862, 2020
On the performance of channel assembling and fragmentation in cognitive radio networks
L Jiao, IAM Balapuwaduge, FY Li, V Pla
IEEE Transactions on Wireless Communications 13 (10), 5661-5675, 2014
The regression Tsetlin machine: a novel approach to interpretable nonlinear regression
K Darshana Abeyrathna, OC Granmo, X Zhang, L Jiao, M Goodwin
Philosophical Transactions of the Royal Society A 378 (2164), 20190165, 2020
Human-level interpretable learning for aspect-based sentiment analysis
RK Yadav, L Jiao, OC Granmo, M Goodwin
Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14203 …, 2021
Temperate fish detection and classification: a deep learning based approach
KM Knausgård, A Wiklund, TK Sørdalen, KT Halvorsen, AR Kleiven, ...
Applied Intelligence 52 (6), 6988-7001, 2022
A learning automaton-based scheme for scheduling domestic shiftable loads in smart grids
R Thapa, L Jiao, BJ Oommen, A Yazidi
IEEE Access 6, 5348-5361, 2017
A single radio based channel datarate-aware parallel rendezvous MAC protocol for cognitive radio networks
L Jiao, FY Li
2009 IEEE 34th conference on local computer networks, 392-399, 2009
Decoupled downlink-uplink coverage analysis with interference management for enriched heterogeneous cellular networks
F Muhammad, ZH Abbas, G Abbas, L Jiao
IEEE Access 4, 6250-6260, 2016
Capacity upper bound of channel assembling in cognitive radio networks with quasistationary primary user activities
L Jiao, E Song, V Pla, FY Li
IEEE Transactions on Vehicular Technology 62 (4), 1849-1855, 2012
Learning automata based Q-learning for content placement in cooperative caching
Z Yang, Y Liu, Y Chen, L Jiao
IEEE Transactions on Communications 68 (6), 3667-3680, 2020
Safeguarding the ultra-dense networks with the aid of physical layer security: A review and a case study
Y Wang, Z Miao, L Jiao
IEEE Access 4, 9082-9092, 2016
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