研究者
J-GLOBAL ID:201901017731168410   更新日: 2024年03月21日

毛 伯敏

モウ ハクビン | Mao Bomin
所属機関・部署:
職名: 助教
研究分野 (1件): 情報ネットワーク
研究キーワード (5件): Artificial Intelligence (AI) ,  5G, 6G ,  Internet of Things ,  Resource allocation ,  Wireless communications
論文 (39件):
  • Yishi Zhu, Bomin Mao, Nei Kato. IRS-Aided High-Accuracy Positioning for Autonomous Driving Toward 6G: A Tutorial. IEEE Vehicular Technology Magazine. 2024. 19. 1. 85-92
  • Bomin Mao, Xueming Zhou, Jiajia Liu, Nei Kato. On An Intelligent Hierarchical Routing Strategy for Ultra-Dense Free Space Optical Low Earth Orbit Satellite Networks. IEEE Journal on Selected Areas in Communications. 2024. 1-1
  • Yishi Zhu, Bomin Mao, Nei Kato. On a Novel High Accuracy Positioning With Intelligent Reflecting Surface and Unscented Kalman Filter for Intelligent Transportation Systems in B5G. IEEE Journal on Selected Areas in Communications. 2024. 42. 1. 68-77
  • Yinbo Yu, Jiajia Liu, Hongzhi Guo, Bomin Mao, Nei Kato. A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers In Metaverse: From Perspective of Autonomous Driving. IEEE Journal on Selected Areas in Communications. 2023. 1-1
  • Bomin Mao, Jian Qiu, Nei Kato. On An Intelligent Task Offloading Model to Jointly Optimize Latency and Energy for Electric Connected Vehicles. IEEE Transactions on Vehicular Technology. 2023. 1-5
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講演・口頭発表等 (2件):
  • An Adaptive Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks
    (NSFC-JSPS Collaborative Research Project Workshop 2019)
  • Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks
    (Northeast Asia Symposium on IoT with Intelligence 2019)
学歴 (1件):
  • 2016 - 2019 東北大学 情報科学研究科
学位 (1件):
  • 博士(情報科学) (東北大学)
受賞 (5件):
  • 2020/03 - 東京電機大学 丹羽保次郎記念論文賞
  • 2019/03 - 東北大学大学院電気・情報系運営委員会 電気・情報系優秀学生賞
  • 2018/12 - IEEE Communications Society IEEE Globecom 2018 Best Paper Award Deep Spatiotemporal Partially Overlapping Channel Allocation : Joint CNN and Activity Vector Approach
  • 2018/08 - IEEE Communications Society IEEE IC-NIDC 2018 Best Paper Award On Extracting The Spatial-Temporal Features of Network Traffic Patterns: A Tensor Based Deep Learning Model
  • 2017/12 - IEEE Communications Society IEEE Globecom 2017 Best Paper Award A Tensor Based Deep Learning Technique for Intelligent Packet Routing
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