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Bomin Mao
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2020 – today
- 2024
- [j42]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 J. Sel. Areas Commun. 42(1): 68-77 (2024) - [j41]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 J. Sel. Areas Commun. 42(4): 948-962 (2024) - [j40]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 J. Sel. Areas Commun. 42(5): 1219-1230 (2024) - [j39]Bomin Mao, Xueming Zhou, Jiajia Liu, Nei Kato:
Digital Twin Satellite Networks Toward 6G: Motivations, Challenges, and Future Perspectives. IEEE Netw. 38(1): 54-60 (2024) - [j38]Zixiang Wei, Bomin Mao, Hongzhi Guo, Yijie Xun, Jiajia Liu, Nei Kato:
An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks. IEEE Open J. Comput. Soc. 5: 170-180 (2024) - [j37]Hongzhi Guo, Xinhan Wu, Jiajia Liu, Bomin Mao, Xiangshen Chen:
Adaptive and Reliable Location Privacy Risk Sensing in Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 25(9): 12696-12708 (2024) - [j36]Bomin Mao, Jian Qiu, Nei Kato:
On an Intelligent Task Offloading Model to Jointly Optimize Latency and Energy for Electric Connected Vehicles. IEEE Trans. Veh. Technol. 73(4): 6024-6028 (2024) - [j35]Bomin Mao, Xueming Zhou, Jiajia Liu, Nei Kato:
On a Cooperative Deep Reinforcement Learning-Based Multi-Objective Routing Strategy for Diversified 6G Metaverse Services. IEEE Trans. Veh. Technol. 73(9): 14092-14096 (2024) - [j34]Yishi Zhu, Bomin Mao, Nei Kato:
IRS-Aided High-Accuracy Positioning for Autonomous Driving Toward 6G: A Tutorial. IEEE Veh. Technol. Mag. 19(1): 85-92 (2024) - [j33]Xueming Zhou, Yuxuan Weng, Bomin Mao, Jiajia Liu, Nei Kato:
Intelligent Multi-Objective Routing for Future Ultra-Dense LEO Satellite Networks. IEEE Wirel. Commun. 31(5): 102-109 (2024) - [c9]Yangbo Liu, Bomin Mao, Hongzhi Guo, Jiajia Liu:
An Intelligent Hierarchical Caching and Asynchronous Updating Scheme for 6G Non-Terrestrial Networks. WCNC 2024: 1-6 - 2023
- [j32]Bomin Mao, Jiajia Liu, Yingying Wu, Nei Kato:
Security and Privacy on 6G Network Edge: A Survey. IEEE Commun. Surv. Tutorials 25(2): 1095-1127 (2023) - [j31]Bo Zhao, Jiajia Liu, Bomin Mao, Shouqing Li:
Optimal Resource Allocation for Random Multiple Access Oriented SCMA-V2X Networks. IEEE Trans. Veh. Technol. 72(8): 10921-10932 (2023) - [j30]Bomin Mao, Yangbo Liu, Jiajia Liu, Nei Kato:
AI-Assisted Edge Caching for Metaverse of Connected and Automated Vehicles: Proposal, Challenges, and Future Perspectives. IEEE Veh. Technol. Mag. 18(4): 66-74 (2023) - [c8]Yishi Zhu, Bomin Mao, Nei Kato:
On an Intelligent Reflecting Surface-Assisted Task Offloading Strategy for Indoor Terahertz Networks. GLOBECOM 2023: 7073-7078 - [c7]Jian Qiu, Bomin Mao, Jiajia Liu:
Joint Optimization of Energy and Delay in Task Offloading Process of Electric Connected Vehicles. ICC 2023: 979-984 - [c6]Yingying Wu, Bomin Mao:
Accelerating and Securing Federated Learning via Intelligent Reflecting Surface. ICCT 2023: 1219-1224 - [c5]Yangbo Liu, Bomin Mao:
On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles. WOCC 2023: 1-5 - [c4]Xueming Zhou, Bomin Mao, Jiajia Liu:
A Novel Multi-Objective Routing Scheme based on Cooperative Multi-Agent Reinforcement Learning for Metaverse Services in Fixed 6G. WOCC 2023: 1-5 - 2022
- [j29]Wei Zou, Bomin Mao, Zubair Md. Fadlullah, Kun Qi:
Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach. IEEE Access 10: 124076-124082 (2022) - [j28]Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
AI Models for Green Communications Towards 6G. IEEE Commun. Surv. Tutorials 24(1): 210-247 (2022) - [j27]Zubair Md. Fadlullah, Bomin Mao, Nei Kato:
Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning. IEEE Commun. Surv. Tutorials 24(4): 2419-2448 (2022) - [j26]Yishi Zhu, Bomin Mao, Nei Kato:
A Dynamic Task Scheduling Strategy for Multi-Access Edge Computing in IRS-Aided Vehicular Networks. IEEE Trans. Emerg. Top. Comput. 10(4): 1761-1771 (2022) - [j25]Jiadai Wang, Jiajia Liu, Hongzhi Guo, Bomin Mao:
Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane. IEEE Trans. Ind. Informatics 18(6): 4275-4285 (2022) - [j24]Wu Chen, Xue Meng, Jiajia Liu, Hongzhi Guo, Bomin Mao:
Countering Large-Scale Drone Swarm Attack by Efficient Splitting. IEEE Trans. Veh. Technol. 71(9): 9967-9979 (2022) - 2021
- [j23]Fengxiao Tang, Bomin Mao, Yuichi Kawamoto, Nei Kato:
Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption. IEEE Commun. Surv. Tutorials 23(3): 1578-1598 (2021) - [j22]Fengxiao Tang, Bomin Mao, Nei Kato, Guan Gui:
Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges. IEEE Commun. Surv. Tutorials 23(3): 2027-2057 (2021) - [j21]Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach. IEEE Netw. 35(4): 102-108 (2021) - [j20]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato:
An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems. IEEE Trans. Emerg. Top. Comput. 9(3): 1554-1565 (2021) - [j19]Yishi Zhu, Bomin Mao, Yuichi Kawamoto, Nei Kato:
Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G: Vision, Proposal, and Future Directions. IEEE Veh. Technol. Mag. 16(4): 48-56 (2021) - [i2]Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
AI based Service Management for 6G Green Communications. CoRR abs/2101.01588 (2021) - 2020
- [j18]Bomin Mao, Yuichi Kawamoto, Nei Kato:
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things. IEEE Internet Things J. 7(8): 7032-7042 (2020) - [j17]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Jiajia Liu, Nei Kato:
ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System. IEEE Trans. Sustain. Comput. 5(4): 568-580 (2020) - [j16]Nei Kato, Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Jiajia Liu:
Ten Challenges in Advancing Machine Learning Technologies toward 6G. IEEE Wirel. Commun. 27(3): 96-103 (2020)
2010 – 2019
- 2019
- [j15]Bomin Mao, Yuichi Kawamoto, Jiajia Liu, Nei Kato:
Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks. IEEE Commun. Lett. 23(11): 2130-2134 (2019) - [j14]Yuichi Kawamoto, Ryota Sasazawa, Bomin Mao, Nei Kato:
Multilayer Virtual Cell-Based Resource Allocation in Low-Power Wide-Area Networks. IEEE Internet Things J. 6(6): 10665-10674 (2019) - [j13]Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Nei Kato:
Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms. IEEE Trans. Computers 68(6): 939-950 (2019) - [j12]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato:
An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios. IEEE Trans. Computers 68(9): 1256-1268 (2019) - [j11]Fengxiao Tang, Zubair Md. Fadlullah, Bomin Mao, Nei Kato, Fumie Ono, Ryu Miura:
On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs. IEEE Trans. Emerg. Top. Comput. 7(4): 565-577 (2019) - [j10]Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Shigenori Tani, Atsushi Okamura, Jiajia Liu:
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence. IEEE Wirel. Commun. 26(4): 140-147 (2019) - [c3]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato:
An Intelligent Packet Forwarding Approach for Disaster Recovery Networks. ICC 2019: 1-6 - 2018
- [j9]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato:
On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT. IEEE Commun. Mag. 56(9): 80-86 (2018) - [j8]Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Jiajia Liu, Nei Kato:
On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach. IEEE Commun. Lett. 22(12): 2479-2482 (2018) - [j7]Fengxiao Tang, Zubair Md. Fadlullah, Bomin Mao, Nei Kato:
An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach. IEEE Internet Things J. 5(6): 5141-5154 (2018) - [j6]Yibo Zhou, Zubair Md. Fadlullah, Bomin Mao, Nei Kato:
A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks. IEEE Netw. 32(6): 28-34 (2018) - [j5]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control. IEEE Wirel. Commun. 25(1): 154-160 (2018) - [j4]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks. IEEE Wirel. Commun. 25(4): 74-81 (2018) - [c2]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato:
Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach. GLOBECOM 2018: 1-6 - [i1]Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Shigenori Tani, Atsushi Okamura, Jiajia Liu:
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence. CoRR abs/1808.01053 (2018) - 2017
- [j3]Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems. IEEE Commun. Surv. Tutorials 19(4): 2432-2455 (2017) - [j2]Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning. IEEE Trans. Computers 66(11): 1946-1960 (2017) - [j1]Nei Kato, Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective. IEEE Wirel. Commun. 24(3): 146-153 (2017) - [c1]Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
A Tensor Based Deep Learning Technique for Intelligent Packet Routing. GLOBECOM 2017: 1-6
Coauthor Index
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last updated on 2024-10-23 20:30 CEST by the dblp team
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