| A deep-learning-based radio resource assignment technique for 5G ultra dense networks Y Zhou, ZM Fadlullah, B Mao, N Kato IEEE Network 32 (6), 28-34, 2018 | 175 | 2018 |
| A dynamic task scheduling strategy for multi-access edge computing in IRS-aided vehicular networks Y Zhu, B Mao, N Kato IEEE Transactions on Emerging Topics in Computing 10 (4), 1761-1771, 2022 | 53 | 2022 |
| A MMI-based ultra-linear high-gain modulator and its performance analysis P Yue, BM Mao, X Yi, QN Li, ZJ Liu Optics & Laser Technology 53, 33-39, 2013 | 2 | 2013 |
| A novel multi-objective routing scheme based on cooperative multi-agent reinforcement learning for metaverse services in fixed 6G X Zhou, B Mao, J Liu 2023 32nd Wireless and Optical Communications Conference (WOCC), 1-5, 2023 | 2 | 2023 |
| A novel non-supervised deep-learning-based network traffic control method for software defined wireless networks B Mao, F Tang, ZM Fadlullah, N Kato, O Akashi, T Inoue, K Mizutani IEEE Wireless Communications 25 (4), 74-81, 2018 | 128 | 2018 |
| A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers In Metaverse: From Perspective of Autonomous Driving Y Yu, J Liu, H Guo, B Mao, N Kato IEEE Journal on Selected Areas in Communications, 2023 | 1 | 2023 |
| A Study on Deep Learning Based Packet Transmission Strategy for Intelligent Network Traffic Control B Mao Tohoku University, 2019 | | 2019 |
| A tensor based deep learning technique for intelligent packet routing B Mao, ZM Fadlullah, F Tang, N Kato, O Akashi, T Inoue, K Mizutani GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 49 | 2017 |
| Accelerating and Securing Federated Learning via Intelligent Reflecting Surface Y Wu, B Mao 2023 IEEE 23rd International Conference on Communication Technology (ICCT …, 2023 | | 2023 |
| Adaptive and Reliable Location Privacy Risk Sensing in Internet of Vehicles H Guo, X Wu, J Liu, B Mao, X Chen IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
| AI based service management for 6G green communications B Mao, F Tang, K Yuichi, N Kato arXiv preprint arXiv:2101.01588, 2021 | 18 | 2021 |
| AI models for green communications towards 6G B Mao, F Tang, Y Kawamoto, N Kato IEEE Communications Surveys & Tutorials 24 (1), 210-247, 2021 | 167 | 2021 |
| Ai-assisted edge caching for metaverse of connected and automated vehicles: Proposal, challenges, and future perspectives B Mao, Y Liu, J Liu, N Kato IEEE Vehicular Technology Magazine, 2023 | 7 | 2023 |
| AI-based joint optimization of QoS and security for 6G energy harvesting Internet of Things B Mao, Y Kawamoto, N Kato IEEE Internet of Things Journal 7 (8), 7032-7042, 2020 | 188 | 2020 |
| An absorbing Markov chain based model to solve computation and communication tradeoff in GPU-accelerated MDRUs for safety confirmation in disaster scenarios B Mao, FX Tang, ZM Fadlullah, N Kato IEEE Transactions on Computers 68 (9), 1256-1268, 2019 | 3 | 2019 |
| An Intelligent Hierarchical Caching and Asynchronous Updating Scheme for 6G Non-Terrestrial Networks Y Liu, B Mao, H Guo, J Liu 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | | 2024 |
| An intelligent packet forwarding approach for disaster recovery networks B Mao, F Tang, ZM Fadlullah, N Kato ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 4 | 2019 |
| An Intelligent Path Loss Prediction Approach based on Integrated Sensing and Communications for Future Vehicular Networks Z Wei, B Mao, H Guo, Y Xun, J Liu, N Kato IEEE Open Journal of the Computer Society, 2024 | 1 | 2024 |
| An intelligent route computation approach based on real-time deep learning strategy for software defined communication systems B Mao, F Tang, ZM Fadlullah, N Kato IEEE Transactions on Emerging Topics in Computing 9 (3), 1554-1565, 2019 | 114 | 2019 |
| An intelligent traffic load prediction-based adaptive channel assignment algorithm in SDN-IoT: A deep learning approach F Tang, ZM Fadlullah, B Mao, N Kato IEEE Internet of Things Journal 5 (6), 5141-5154, 2018 | 272 | 2018 |
Nei Kato(IEEE Fellow, IEICE Fellow)Professor and Dean, Graduate School of Information Sciences, Tohoku University, Japan在 it.is.tohoku.ac.jp 的电子邮件经过验证
