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 (GLOBECOM, 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)

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)

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)

Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach. - Fengxiao Tang; Bomin Mao; Zubair Md Fadlullah; Nei Kato (GLOBECOM, 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)

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 001; Nei Kato (IEEE Commun. Lett., 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)

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)

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)

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)

An Intelligent Packet Forwarding Approach for Disaster Recovery Networks. - Bomin Mao; Fengxiao Tang; Zubair Md Fadlullah; Nei Kato (ICC, 2019)

Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks. - Bomin Mao; Yuichi Kawamoto; Jiajia Liu 001; Nei Kato (IEEE Commun. Lett., 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)

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)

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)

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)

Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence. - Nei Kato; Zubair Md Fadlullah; Fengxiao Tang; Bomin Mao; Shigenori Tani; Atsushi Okamura; Jiajia Liu 001 (IEEE Wirel. Commun., 2019)

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)

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 001; Nei Kato (IEEE Trans. Sustain. Comput., 2020)

Ten Challenges in Advancing Machine Learning Technologies toward 6G. - Nei Kato; Bomin Mao; Fengxiao Tang; Yuichi Kawamoto; Jiajia Liu 001 (IEEE Wirel. Commun., 2020)

Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges. - Fengxiao Tang; Bomin Mao; Nei Kato; Guan Gui 001 (IEEE Commun. Surv. Tutorials, 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)

AI based Service Management for 6G Green Communications. - Bomin Mao; Fengxiao Tang; Yuichi Kawamoto; Nei Kato (CoRR, 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)

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)

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)

Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach. - Wei Zou; Bomin Mao; Zubair Md Fadlullah; Kun Qi (IEEE Access, 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)

AI Models for Green Communications Towards 6G. - Bomin Mao; Fengxiao Tang; Yuichi Kawamoto; Nei Kato (IEEE Commun. Surv. Tutorials, 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)

Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane. - Jiadai Wang; Jiajia Liu 001; Hongzhi Guo; Bomin Mao (IEEE Trans. Ind. Informatics, 2022)

Countering Large-Scale Drone Swarm Attack by Efficient Splitting. - Wu Chen; Xue Meng; Jiajia Liu 001; Hongzhi Guo; Bomin Mao (IEEE Trans. Veh. Technol., 2022)

On an Intelligent Reflecting Surface-Assisted Task Offloading Strategy for Indoor Terahertz Networks. - Yishi Zhu; Bomin Mao; Nei Kato (GLOBECOM, 2023)

Joint Optimization of Energy and Delay in Task Offloading Process of Electric Connected Vehicles. - Jian Qiu; Bomin Mao; Jiajia Liu 001 (ICC, 2023)

Accelerating and Securing Federated Learning via Intelligent Reflecting Surface. - Yingying Wu; Bomin Mao (ICCT, 2023)

On a Novel Content Edge Caching Approach based on Multi-Agent Federated Reinforcement Learning in Internet of Vehicles. - Yangbo Liu; Bomin Mao (WOCC, 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 001 (WOCC, 2023)

Security and Privacy on 6G Network Edge: A Survey. - Bomin Mao; Jiajia Liu 001; Yingying Wu; Nei Kato (IEEE Commun. Surv. Tutorials, 2023)

Optimal Resource Allocation for Random Multiple Access Oriented SCMA-V2X Networks. - Bo Zhao 022; Jiajia Liu 001; Bomin Mao; Shouqing Li (IEEE Trans. Veh. Technol., 2023)

AI-Assisted Edge Caching for Metaverse of Connected and Automated Vehicles: Proposal, Challenges, and Future Perspectives. - Bomin Mao; Yangbo Liu; Jiajia Liu 001; Nei Kato (IEEE Veh. Technol. Mag., 2023)

A Novel LiDAR-Camera Fusion Method for Enhanced Odometry. - Hao Dong; Yijie Xun; Yuchao He; Jiajia Liu 001; Bomin Mao; Hongzhi Guo (GLOBECOM, 2024)

Flexible Multi-Channel Vehicle Trajectory Prediction Based on Vehicle-Road Collaboration. - Jiahao Lei; Yijie Xun; Yuchao He; Jiajia Liu 001; Bomin Mao; Hongzhi Guo (GLOBECOM, 2024)

PSO-Meme: An Efficient and Secure RSU Deployment Scheme for IoV. - Xinhan Wu; Hongzhi Guo; Xiaoyi Zhou; Bomin Mao; Jiajia Liu 001; Yijie Xun (GLOBECOM, 2024)

An Intelligent Hierarchical Caching and Asynchronous Updating Scheme for 6G Non-Terrestrial Networks. - Yangbo Liu; Bomin Mao; Hongzhi Guo; Jiajia Liu 001 (WCNC, 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 001; Nei Kato (IEEE Open J. Comput. Soc., 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., 2024)

Digital Twin Satellite Networks Toward 6G: Motivations, Challenges, and Future Perspectives. - Bomin Mao; Xueming Zhou; Jiajia Liu 001; Nei Kato (IEEE Netw., 2024)

IRS-Aided High-Accuracy Positioning for Autonomous Driving Toward 6G: A Tutorial. - Yishi Zhu; Bomin Mao; Nei Kato (IEEE Veh. Technol. Mag., 2024)

A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers in Metaverse: From Perspective of Autonomous Driving. - Yinbo Yu; Jiajia Liu 001; Hongzhi Guo; Bomin Mao; Nei Kato (IEEE J. Sel. Areas Commun., 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., 2024)

On an Intelligent Hierarchical Routing Strategy for Ultra-Dense Free Space Optical Low Earth Orbit Satellite Networks. - Bomin Mao; Xueming Zhou; Jiajia Liu 001; Nei Kato (IEEE J. Sel. Areas Commun., 2024)

Adaptive and Reliable Location Privacy Risk Sensing in Internet of Vehicles. - Hongzhi Guo; Xinhan Wu; Jiajia Liu 001; Bomin Mao; Xiangshen Chen (IEEE Trans. Intell. Transp. Syst., 2024)

On a Cooperative Deep Reinforcement Learning-Based Multi-Objective Routing Strategy for Diversified 6G Metaverse Services. - Bomin Mao; Xueming Zhou; Jiajia Liu 001; Nei Kato (IEEE Trans. Veh. Technol., 2024)

Intelligent Multi-Objective Routing for Future Ultra-Dense LEO Satellite Networks. - Xueming Zhou; Yuxuan Weng; Bomin Mao; Jiajia Liu 001; Nei Kato (IEEE Wirel. Commun., 2024)

MLRFNet: Multi-Level Real-Time Fusion Semantic Segmentation Network for Autonomous Driving. - Xiaochuan Ma; Zhijie Xun; Bomin Mao; Yijie Xun; Hongzhi Guo (WCNC, 2025)

On a Hierarchical Content Caching and Asynchronous Updating Scheme for Non-Terrestrial Network-Assisted Connected Automated Vehicles. - Bomin Mao; Yangbo Liu; Hongzhi Guo; Yijie Xun; Jiadai Wang; Jiajia Liu 001; Nei Kato (IEEE J. Sel. Areas Commun., 2025)

A Survey on DRL based UAV Communications and Networking: DRL Fundamentals, Applications and Implementations. - Wei Zhao 023; Shaoxin Cui; Wen Qiu; Zhiqiang He 005; Zhi Liu 002; Xiao Zheng; Bomin Mao; Nei Kato (CoRR, 2025)

Achieving Multi-Attribute Superiority and Sybil Attack Detection in IoV: A Heuristic-Based Dynamic RSU Deployment Scheme. - Hongzhi Guo; Xinhan Wu; Zishuo Yin; Bomin Mao; Yijie Xun; Jiajia Liu 001; Wu Chen (IEEE Trans. Intell. Transp. Syst., 2025)

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions. - Jiani Fan; Lwin Khin Shar; Ruichen Zhang; Ziyao Liu; Wenzhuo Yang; Dusit Niyato; Bomin Mao; Kwok-Yan Lam (CoRR, 2025)

EVP-LCO: LiDAR-Camera Odometry Enhancing Vehicle Positioning for Autonomous Vehicles. - Yijie Xun; Hao Dong; Xiaochuan Ma; Bomin Mao; Hongzhi Guo (IEEE Internet Things J., 2025)

Optimizing Secrecy Rate for Federated Learning Model Aggregation With Intelligent Reflecting Surface Toward 6G Ubiquitous Intelligence. - Bomin Mao; Yingying Wu; Jiajia Liu 001; Hongzhi Guo; Jiadai Wang; Nei Kato (IEEE Trans. Cogn. Commun. Netw., 2025)

MSFL: Model-Safeguarded Federated Learning With Intelligent Reflecting Surface for Industrial Networks. - Yingying Wu; Bomin Mao; Nei Kato (IEEE Trans. Netw. Serv. Manag., 2025)

An Adaptive Vehicle Trajectory Prediction Scheme Based on Digital Twin Platform. - Zhijie Xun; Sijia Zhang; Yijie Xun; Dejun Mu; Bomin Mao; Hongzhi Guo (IEEE Internet Things J., 2025)

A Blockchain-Enabled Cold Start Aggregation Scheme for Federated Reinforcement Learning-Based Task Offloading in Zero Trust LEO Satellite Networks. - Bomin Mao; Yangbo Liu; Zixiang Wei; Hongzhi Guo; Yijie Xun; Jiadai Wang; Jiajia Liu 001; Nei Kato (IEEE J. Sel. Areas Commun., 2025)