| 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 | 91 | 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 | 85 | 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 | 77 | 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 | 71 | 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 | 58 | 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 | 44 | 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 | 44 | 2011 |
| Analysis of load balancing and interference management in heterogeneous cellular networks ZH Abbas, F Muhammad, L Jiao IEEE Access 5, 14690-14705, 2017 | 39 | 2017 |
| The convolutional Tsetlin machine OC Granmo, S Glimsdal, L Jiao, M Goodwin, CW Omlin, GT Berge arXiv preprint arXiv:1905.09688, 2019 | 36 | 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 | 33 | 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 | 33 | 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 | 31 | 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 | 29 | 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 | 27 | 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 | 25 | 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 | 25 | 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 | 24 | 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 | 23 | 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 | 22 | 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 | 22 | 2016 |
