Bomin Mao

According to our database, Bomin Mao authored at least 47 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On an Intelligent Task Offloading Model to Jointly Optimize Latency and Energy for Electric Connected Vehicles.

Bomin Mao, Jian Qiu, Nei Kato

IEEE Trans. Veh. Technol., April, 2024

A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers in Metaverse: From Perspective of Autonomous Driving.

Yinbo Yu, Jiajia Liu, Hongzhi Guo, Bomin Mao, Nei Kato

IEEE J. Sel. Areas Commun., April, 2024

IRS-Aided High-Accuracy Positioning for Autonomous Driving Toward 6G: A Tutorial.

Yishi Zhu, Bomin Mao, Nei Kato

IEEE Veh. Technol. Mag., March, 2024

Digital Twin Satellite Networks Toward 6G: Motivations, Challenges, and Future Perspectives.

Bomin Mao, Xueming Zhou, Jiajia Liu, Nei Kato

IEEE Netw., January, 2024

On a Novel High Accuracy Positioning With Intelligent Reflecting Surface and Unscented Kalman Filter for Intelligent Transportation Systems in B5G.

Yishi Zhu, Bomin Mao, Nei Kato

IEEE J. Sel. Areas Commun., January, 2024

An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks.

Zixiang Wei, Bomin Mao, Hongzhi Guo, Yijie Xun, Jiajia Liu, Nei Kato

IEEE Open J. Comput. Soc., 2024

2023

AI-Assisted Edge Caching for Metaverse of Connected and Automated Vehicles: Proposal, Challenges, and Future Perspectives.

Bomin Mao, Yangbo Liu, Jiajia Liu, Nei Kato

IEEE Veh. Technol. Mag., December, 2023

Optimal Resource Allocation for Random Multiple Access Oriented SCMA-V2X Networks.

Bo Zhao, Jiajia Liu, Bomin Mao, Shouqing Li

IEEE Trans. Veh. Technol., August, 2023

Security and Privacy on 6G Network Edge: A Survey.

Bomin Mao, Jiajia Liu, Yingying Wu, Nei Kato

IEEE Commun. Surv. Tutorials, 2023

A Novel Multi-Objective Routing Scheme based on Cooperative Multi-Agent Reinforcement Learning for Metaverse Services in Fixed 6G.

Xueming Zhou, Bomin Mao, Jiajia Liu

Proceedings of the 32nd Wireless and Optical Communications Conference, 2023

On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles.

Yangbo Liu, Bomin Mao

Proceedings of the 32nd Wireless and Optical Communications Conference, 2023

Accelerating and Securing Federated Learning via Intelligent Reflecting Surface.

Yingying Wu, Bomin Mao

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Joint Optimization of Energy and Delay in Task Offloading Process of Electric Connected Vehicles.

Jian Qiu, Bomin Mao, Jiajia Liu

Proceedings of the IEEE International Conference on Communications, 2023

On an Intelligent Reflecting Surface-Assisted Task Offloading Strategy for Indoor Terahertz Networks.

Yishi Zhu, Bomin Mao, Nei Kato

Proceedings of the IEEE Global Communications Conference, 2023

2022

Countering Large-Scale Drone Swarm Attack by Efficient Splitting.

Wu Chen, Xue Meng, Jiajia Liu, Hongzhi Guo, Bomin Mao

IEEE Trans. Veh. Technol., 2022

Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane.

Jiadai Wang, Jiajia Liu, Hongzhi Guo, Bomin Mao

IEEE Trans. Ind. Informatics, 2022

A Dynamic Task Scheduling Strategy for Multi-Access Edge Computing in IRS-Aided Vehicular Networks.

Yishi Zhu, Bomin Mao, Nei Kato

IEEE Trans. Emerg. Top. Comput., 2022

AI Models for Green Communications Towards 6G.

Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato

IEEE Commun. Surv. Tutorials, 2022

Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning.

Zubair Md. Fadlullah, Bomin Mao, Nei Kato

IEEE Commun. Surv. Tutorials, 2022

Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach.

Wei Zou, Bomin Mao, Zubair Md. Fadlullah, Kun Qi

IEEE Access, 2022

2021

Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G: Vision, Proposal, and Future Directions.

Yishi Zhu, Bomin Mao, Yuichi Kawamoto, Nei Kato

IEEE Veh. Technol. Mag., 2021

An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems.

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

IEEE Trans. Emerg. Top. Comput., 2021

Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach.

Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato

IEEE Netw., 2021

AI based Service Management for 6G Green Communications.

Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato

CoRR, 2021

Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption.

Fengxiao Tang, Bomin Mao, Yuichi Kawamoto, Nei Kato

IEEE Commun. Surv. Tutorials, 2021

Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges.

Fengxiao Tang, Bomin Mao, Nei Kato, Guan Gui

IEEE Commun. Surv. Tutorials, 2021

2020

Ten Challenges in Advancing Machine Learning Technologies toward 6G.

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

IEEE Wirel. Commun., 2020

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 Trans. Sustain. Comput., 2020

AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things.

Bomin Mao, Yuichi Kawamoto, Nei Kato

IEEE Internet Things J., 2020

2019

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 Wirel. Commun., 2019

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 Trans. Emerg. Top. Comput., 2019

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 Trans. Computers, 2019

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, 2019

Multilayer Virtual Cell-Based Resource Allocation in Low-Power Wide-Area Networks.

Yuichi Kawamoto, Ryota Sasazawa, Bomin Mao, Nei Kato

IEEE Internet Things J., 2019

Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks.

Bomin Mao, Yuichi Kawamoto, Jiajia Liu, Nei Kato

IEEE Commun. Lett., 2019

An Intelligent Packet Forwarding Approach for Disaster Recovery Networks.

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

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control.

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

IEEE Wirel. Commun., 2018

A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks.

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

IEEE Wirel. Commun., 2018

A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks.

Yibo Zhou, Zubair Md. Fadlullah, Bomin Mao, Nei Kato

IEEE Netw., 2018

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 Things J., 2018

On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach.

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

IEEE Commun. Lett., 2018

On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT.

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

IEEE Commun. Mag., 2018

Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach.

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

Proceedings of the IEEE Global Communications Conference, 2018

2017

The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective.

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

IEEE Wirel. Commun., 2017

Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning.

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

IEEE Trans. Computers, 2017

State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems.

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

IEEE Commun. Surv. Tutorials, 2017

A Tensor Based Deep Learning Technique for Intelligent Packet Routing.

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

Proceedings of the 2017 IEEE Global Communications Conference, 2017