毛伯敏 (Bomin Mao) - マイポータル

基本情報

所属: 東北大学大学院情報科学研究科応用情報科学専攻応用情報技術論講座情報通信技術論分野助教

学位: 博士（情報科学）(2019年3月東北大学)

J-GLOBAL ID: 201901017731168410
researchmap会員ID: B000379381

研究キーワード

研究分野

情報通信 / 情報ネットワーク /

学歴

2016年3月 - 2019年3月

東北大学情報科学研究科

受賞

2020年3月

丹羽保次郎記念論文賞東京電機大学
2019年3月

電気・情報系優秀学生賞東北大学大学院電気・情報系運営委員会

毛伯敏
2018年12月

IEEE Globecom 2018 Best Paper Award Deep Spatiotemporal Partially Overlapping Channel Allocation : Joint CNN and Activity Vector Approach IEEE Communications Society

Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato
2018年8月

IEEE IC-NIDC 2018 Best Paper Award On Extracting The Spatial-Temporal Features of Network Traffic Patterns: A Tensor Based Deep Learning Model IEEE Communications Society

Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Jiajia Liu, Nei Kato
2017年12月

IEEE Globecom 2017 Best Paper Award A Tensor Based Deep Learning Technique for Intelligent Packet Routing IEEE Communications Society

Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani

論文

Security and Privacy on 6G Network Edge: A Survey

Bomin Mao, Jiajia Liu, Yingying Wu, Nei Kato

IEEE Communications Surveys & Tutorials 25(2) 1-1 2023年
A Dynamic Task Scheduling Strategy for Multi-Access Edge Computing in IRS-Aided Vehicular Networks

Yishi Zhu, Bomin Mao, Nei Kato

IEEE Transactions on Emerging Topics in Computing 10(4) 1761-1771 2022年10月1日
Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities with Machine Learning

Zubair Md Fadlullah, Bomin Mao, Nei Kato

IEEE Communications Surveys & Tutorials 24(4) 1-1 2022年
Intelligent Reflecting Surface in 6G Vehicular Communications: A Survey

Yishi Zhu, Bomin Mao, Nei Kato

IEEE Open Journal of Vehicular Technology 1-1 2022年
Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G: Vision, Proposal, and Future Directions

Yishi Zhu, Bomin Mao, Yuichi Kawamoto, Nei Kato

IEEE Vehicular Technology Magazine 16(4) 48-56 2021年12月
Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach

Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato

IEEE Network 35(4) 102-108 2021年7月
AI Models for Green Communications Towards 6G

Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato

IEEE Communications Surveys & Tutorials 1-1 2021年
Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges

Fengxiao Tang, Bomin Mao, Nei Kato, Guan Gui

IEEE Communications Surveys & Tutorials 1-1 2021年
Survey on Machine Learning for Intelligent End-to-End Communication towards 6G: From Network Access, Routing to Traffic Control and Streaming Adaption

Fengxiao Tang, Bomin Mao, Yuichi Kawamoto, Nei Kato

IEEE Communications Surveys & Tutorials 1-1 2021年
ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System

Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Jiajia Liu, Nei Kato

IEEE Transactions on Sustainable Computing 5(4) 568-580 2020年10月1日
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things

Bomin Mao, Yuichi Kawamoto, Nei Kato

IEEE Internet of Things Journal 7(8) 7032-7042 2020年8月
Ten Challenges in Advancing Machine Learning Technologies toward 6G

Nei Kato, Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Jiajia Liu

IEEE Wireless Communications 27(3) 96-103 2020年6月
Multilayer Virtual Cell-Based Resource Allocation in Low-Power Wide-Area Networks

IEEE Internet of Things Journal 6(6) 10665-10674 2019年12月査読有り
Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks.

Bomin Mao, Yuichi Kawamoto, Jiajia Liu, Nei Kato

IEEE Communications Letters 23(11) 2130-2134 2019年11月査読有り
On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs

Fengxiao Tang, Zubair Md. Fadlullah, Bomin Mao, Nei Kato, Fumie Ono, Ryu Miura

IEEE Transactions on Emerging Topics in Computing 7(4) 565-577 2019年10月1日
An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios.

Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato

IEEE Transactions on Computers 68(9) 1256-1268 2019年9月査読有り
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence.

Nei Kato, Zubair, Md. Fadlullah, Fengxiao Tang, Bomin Mao, Shigenori Tani, Atsushi Okamura, Jiajia Liu

IEEE Wireless Commun. 26(4) 140-147 2019年8月査読有り
Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms.

Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Nei Kato

IEEE Trans. Computers 68(6) 939-950 2019年6月査読有り
An Intelligent Packet Forwarding Approach for Disaster Recovery Networks.

Bomin Mao, Fengxiao Tang, Zubair, Md. Fadlullah, Nei Kato

2019 IEEE International Conference on Communications, ICC 2019, Shanghai, China, May 20-24, 2019 1-6 2019年5月査読有り
An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach.

Fengxiao Tang, Zubair Md. Fadlullah, Bomin Mao, Nei Kato

IEEE Internet of Things Journal 5(6) 5141-5154 2018年12月査読有り

もっとみる

講演・口頭発表等

An Adaptive Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks

毛伯敏

NSFC-JSPS Collaborative Research Project Workshop 2019年11月15日
Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks

毛伯敏

Northeast Asia Symposium on IoT with Intelligence 2019年9月

毛伯敏

基本情報

研究キーワード

研究分野

学歴

受賞

論文

講演・口頭発表等

メニュー

共著者の一覧