| 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 | 165 | 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 | 40 | 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 | | 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 | 118 | 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 | | 2023 |
| 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 | 45 | 2017 |
| AI based service management for 6G green communications B Mao, F Tang, K Yuichi, N Kato arXiv preprint arXiv:2101.01588, 2021 | 17 | 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 | 124 | 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 | | 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 | 154 | 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 | 1 | 2019 |
| 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 | 2 | 2019 |
| 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 | 93 | 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 | 248 | 2018 |
| Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach W Zou, B Mao, ZM Fadlullah, K Qi IEEE Access 10, 124076-124082, 2022 | | 2022 |
| Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning ZM Fadlullah, B Mao, N Kato IEEE Communications Surveys & Tutorials, 2022 | 27 | 2022 |
| Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges F Tang, B Mao, N Kato, G Gui IEEE Communications Surveys & Tutorials 23 (3), 2027-2057, 2021 | 119 | 2021 |
| Countering Large-Scale Drone Swarm Attack by Efficient Splitting W Chen, X Meng, J Liu, H Guo, B Mao IEEE Transactions on Vehicular Technology 71 (9), 9967-9979, 2022 | 9 | 2022 |
| Deep reinforcement learning for securing software-defined industrial networks with distributed control plane J Wang, J Liu, H Guo, B Mao IEEE Transactions on Industrial Informatics 18 (6), 4275-4285, 2021 | 8 | 2021 |
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
