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)

AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based Networks. - Fengxiao Tang; Zubair Md Fadlullah; Nei Kato; Fumie Ono; Ryu Miura (IEEE Trans. Veh. Technol., 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)

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)

Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet. - Fengxiao Tang; Yibo Zhou; Nei Kato (IEEE J. Sel. Areas Commun., 2020)

Probe Delay Based Adaptive Port Scanning for IoT Devices with Private IP Address Behind NAT. - Fengxiao Tang; Yuichi Kawamoto; Nei Kato; Kazuto Yano; Yoshinori Suzuki (IEEE Netw., 2020)

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches. - Fengxiao Tang; Yuichi Kawamoto; Nei Kato; Jiajia Liu 001 (Proc. IEEE, 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)

6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence. - Guan Gui 001; Miao Liu 002; Fengxiao Tang; Nei Kato; Fumiyuki Adachi (IEEE Wirel. Commun., 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)

Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network. - Yibo Zhou; Fengxiao Tang; Yuichi Kawamoto; Nei Kato (IEEE Wirel. Commun. Lett., 2020)

SEOVER: Sentence-Level Emotion Orientation Vector Based Conversation Emotion Recognition Model. - Zaijing Li; Fengxiao Tang; Tieyu Sun; Yusen Zhu; Ming Zhao 007 (ICONIP (6), 2021)

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)

EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition. - Zaijing Li; Fengxiao Tang; Ming Zhao 007; Yusen Zhu (ACL (Findings), 2022)

C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC). - Ming Zhao 007; Yixiang Li; Sohaib Asif; Yusen Zhu; Fengxiao Tang (HPSR, 2022)

AFFSRN: Attention-Based Feature Fusion Super-Resolution Network. - Yeguang Qin; Fengxiao Tang; Ming Zhao 007; Yusen Zhu (ICONIP (4), 2022)

Feature Fusion Super Resolution Network with Gradient Guidance. - Yeguang Qin; Palidan Tuerxun; Fengxiao Tang; Yurong Qian; Ming Zhao 007; Yusen Zhu (ICPR, 2022)

AI Models for Green Communications Towards 6G. - Bomin Mao; Fengxiao Tang; Yuichi Kawamoto; Nei Kato (IEEE Commun. Surv. Tutorials, 2022)

Differentiated Federated Reinforcement Learning for Dynamic and Heterogeneous Network. - Fengxiao Tang; Yilin Yang; Xin Yao 002; Ming Zhao 007; Nei Kato (CoRR, 2022)

A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN). - Fengxiao Tang; Hans Hofner; Nei Kato; Kazuma Kaneko; Yasutaka Yamashita; Masatake Hangai (IEEE J. Sel. Areas Commun., 2022)

Blockchain-Based Trusted Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN): A Federated Reinforcement Learning Approach. - Fengxiao Tang; Cong Wen; Linfeng Luo; Ming Zhao 007; Nei Kato (IEEE J. Sel. Areas Commun., 2022)

A deep learning-based framework for detecting COVID-19 patients using chest X-rays. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Multim. Syst., 2022)

Survey on Digital Twin Edge Networks (DITEN) Toward 6G. - Fengxiao Tang; Xuehan Chen; Tiago Koketsu Rodrigues; Ming Zhao 007; Nei Kato (IEEE Open J. Commun. Soc., 2022)

Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA. - Ming Zhao 007; Jiahua Li; Fengxiao Tang; Sohaib Asif; Yusen Zhu (IEEE Trans. Netw. Sci. Eng., 2022)

Machine Learning for Space-Air-Ground Integrated Network Assisted Vehicular Network: A Novel Network Architecture for Vehicles. - Fengxiao Tang; Cong Wen; Ming Zhao 007; Nei Kato (IEEE Veh. Technol. Mag., 2022)

Hybrid Routing in FSO/RF Space-Air-Ground Integrated Network. - Qi Guo; Fengxiao Tang; Nei Kato (GLOBECOM, 2023)

Performance Analysis of Space-Air-Ground Integrated Network (SAGIN): UAV Altitude and Position Angle. - Jingjing Tan; Fengxiao Tang; Ming Zhao 007; Nei Kato (ICCC, 2023)

DUO: Stealthy Adversarial Example Attack on Video Retrieval Systems via Frame-Pixel Search. - Xin Yao 002; Yu Zhan; Yimin Chen 004; Fengxiao Tang; Ming Zhao 007; Enlang Li; Yanchao Zhang (ICDCS, 2023)

Energy Efficient Routing for Fso-Rf Space-Air-Ground Integrated Network: A Deep Reinforcement Learning Approach. - Qi Guo; Nei Kato; Fengxiao Tang (IC-NIDC, 2023)

UniSA: Unified Generative Framework for Sentiment Analysis. - Zaijing Li; Ting-En Lin; Yuchuan Wu; Meng Liu 006; Fengxiao Tang; Ming Zhao 007; Yongbin Li (ACM Multimedia, 2023)

An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Multim. Tools Appl., 2023)

Federated Learning for Intelligent Transmission with Space-Air-Ground Integrated Network toward 6G. - Fengxiao Tang; Cong Wen; Xuehan Chen; Nei Kato (IEEE Netw., 2023)

Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization. - Xiaoheng Deng; Jiahao Zhao; Zhufang Kuang; Xuechen Chen; Qi Guo; Fengxiao Tang (IEEE Trans. Emerg. Top. Comput., 2023)

H-BILSTM: A Novel Bidirectional Long Short Term Memory Network Based Intelligent Early Warning Scheme in Mobile Edge Computing (MEC). - Zhibo Li; Yurong Qian; Fengxiao Tang; Ming Zhao 007; Yusen Zhu (IEEE Trans. Emerg. Top. Comput., 2023)

Adaptive Caching Scheme for Jointly Optimizing Delay and Energy Consumption in Heterogeneous Digital Twin IoT. - Jingjing Tan; Fengxiao Tang; Ming Zhao 007; Yusen Zhu (IEEE Trans. Netw. Sci. Eng., 2023)

Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT. - Qi Guo; Fengxiao Tang; Nei Kato (IEEE Trans. Ind. Informatics, 2023)

Intelligent Configuration Method Based on UAV-Driven Frequency Selective Surface for Communication Band Shielding. - Jingjing Tan; Xunhua Dai; Fengxiao Tang; Ming Zhao 007; Nei Kato (IEEE Internet Things J., 2023)

The Roadmap of Communication and Networking in 6G for the Metaverse. - Fengxiao Tang; Xuehan Chen; Ming Zhao 007; Nei Kato (IEEE Wirel. Commun., 2023)

Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G. - Qi Guo; Fengxiao Tang; Nei Kato (IEEE Netw., 2023)

Resource Allocation for Aerial Assisted Digital Twin Edge Mobile Network. - Qi Guo; Fengxiao Tang; Nei Kato (IEEE J. Sel. Areas Commun., 2023)

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu; Baokang Zhao (Neural Networks, 2023)

Nash Equilibrium-Based Spectrum Pricing and Allocation in Satellite-Terrestrial Network. - Qianghao Shang; Xuehan Chen; Fengxiao Tang; Xiaoru Cai; Ming Zhao 007 (ICC Workshops, 2024)

ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring. - Sohaib Asif; Xinyi Xu; Ming Zhao 007; Xuehan Chen; Fengxiao Tang; Yusen Zhu (Appl. Intell., 2024)

Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis. - Omair Bilal; Sohaib Asif; Ming Zhao 007; Yangfan Li; Fengxiao Tang; Yusen Zhu (Appl. Soft Comput., 2024)

DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Biomed. Signal Process. Control., 2024)

Frequency Selective Surface Toward 6G Communication Systems: A Contemporary Survey. - Xuehan Chen; Jingjing Tan; Litian Kang; Fengxiao Tang; Ming Zhao 007; Nei Kato (IEEE Commun. Surv. Tutorials, 2024)

Large Language Model(LLM) assisted End-to-End Network Health Management based on Multi-Scale Semanticization. - Fengxiao Tang; Xiaonan Wang; Xun Yuan; Linfeng Luo; Ming Zhao 007; Nei Kato (CoRR, 2024)

Federated Hypergraph Learning with Hyperedge Completion. - Linfeng Luo; Fengxiao Tang; Xiyu Liu; Zhiqi Guo 002; Zihao Qiu; Ming Zhao 007 (CoRR, 2024)

KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment. - Zongzong Wu; Fengxiao Tang; Ming Zhao 007; Yufeng Li (CoRR, 2024)

LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19. - Sohaib Asif; Ming Zhao 007; Fengxiao Tang; Yusen Zhu (Multim. Tools Appl., 2024)

CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection. - Sohaib Asif; Ming Zhao 007; Yangfan Li; Fengxiao Tang; Yusen Zhu (Neural Networks, 2024)

Five Disruptive Technologies in 6G to Support Digital Twin Networks. - Qi Guo; Fengxiao Tang; Tiago Koketsu Rodrigues; Nei Kato (IEEE Wirel. Commun., 2024)

Multiagent RL-Based Joint Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network. - Xunhua Dai; Zhiyu Lu; Xuehan Chen; Xinyi Xu; Fengxiao Tang (IEEE Internet Things J., 2024)

Deep-Reinforcement-Learning-Based Content Caching in Satellite-Terrestrial Assisted Airborne Communications. - Zhiqi Guo 002; Fengxiao Tang; Xuehan Chen; Linfeng Luo; Ming Zhao 007 (IEEE Internet Things J., 2024)

Joint Rate and Coverage Optimization for the THz/RF Multi-Band Communications of Space-Air-Ground Integrated Network in 6G. - Xun Yuan; Fengxiao Tang; Ming Zhao 007; Nei Kato (IEEE Trans. Wirel. Commun., 2024)

CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox. - Sohaib Asif; Ming Zhao 007; Yangfan Li; Fengxiao Tang; Yusen Zhu (IEEE J. Biomed. Health Informatics, 2024)

AIGC-Based Evolvable Digital Twin Networks: A Road to the Intelligent Metaverse. - Xuehan Chen; Linfeng Luo; Fengxiao Tang; Ming Zhao 007; Nei Kato (IEEE Netw., 2024)

Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks. - Yeguang Qin; Yilin Yang; Fengxiao Tang; Xin Yao 002; Ming Zhao 007; Nei Kato (IEEE Trans. Mob. Comput., 2024)

Stealthy and efficient adversarial example attack on video retrieval systems. - Xin Yao 002; Enlang Li; Yimin Chen 004; Jiawei Guo; Kecheng Huang; Fengxiao Tang; Ming Zhao 007 (Neural Networks, 2025)

UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors. - Yi Xu; Zhigang Chen 001; Ming Zhao 007; Fengxiao Tang; Yangfan Li; Jiaqi Liu 001; Nei Kato (IEEE Open J. Comput. Soc., 2025)

FCSQF: Flexible Traffic Control for ECT-Aware Time Sensitive Networking. - Zhuangye Luo; Feng Zeng; Fengxiao Tang; Nei Kato (IEEE Trans. Netw. Sci. Eng., 2025)

Adapting Network Information to Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis. - Tiao Tan; Fengxiao Tang; Ming Zhao 007 (CoRR, 2025)

SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution. - Yangfan Li; Mengquan Li; Cen Chen 002; Xiaofeng Zou; Hongen Shao; Fengxiao Tang; Kenli Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Dynamic Multi-Objective Service Function Chain Placement Based on Deep Reinforcement Learning. - Cong Zhou; Baokang Zhao; Fengxiao Tang; Biao Han; Baosheng Wang (IEEE Trans. Netw. Serv. Manag., 2025)

Outage Probability, Performance, and Fairness Analysis of Space-Air-Ground Integrated Network (SAGIN): UAV Altitude and Position Angle. - Jingjing Tan; Fengxiao Tang; Ming Zhao 007; Nei Kato (IEEE Trans. Wirel. Commun., 2025)

On-Orbit DNN Distributed Inference for Remote Sensing Images in Satellite Internet of Things. - Ying Qiao; Shuyang Teng; Juan Luo; Peng Sun 003; Fan Li; Fengxiao Tang (IEEE Internet Things J., 2025)

Routing for Space-Air-Ground Integrated Network With GAN-Powered Deep Reinforcement Learning. - Qi Guo; Fengxiao Tang; Nei Kato (IEEE Trans. Cogn. Commun. Netw., 2025)

Vehicle-Assisted Data Sensing in Vehicle Edge Metaverse: A Game Theory Approach. - Zheng Zhang; Feng Zeng; Fengxiao Tang (IEEE Trans. Veh. Technol., 2025)

Semi-Distributed Network Fault Diagnosis Based on Digital Twin Network in Highly Dynamic Heterogeneous Networks. - Fengxiao Tang; Linfeng Luo; Zhiqi Guo 002; Yangfan Li; Ming Zhao 007; Nei Kato (IEEE Trans. Mob. Comput., 2025)

Blockchain-Empowered Asynchronous Federated Reinforcement Learning for IoT-Based Traffic Trajectory Prediction. - Bin Wang 088; Zhao Tian; Fengxiao Tang; Heng Pan; Wei She; Wei Liu 043 (IEEE Internet Things J., 2025)

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification. - Fengxiao Tang; Huan Li; Ming Zhao 007; Zongzong Wu; Shisong Peng; Tao Yin (CoRR, 2025)

6G Comprehensive Intelligence: Network Operations and Optimization Based on Large Language Models. - Sifan Long; Fengxiao Tang; Yangfan Li; Tiao Tan; Zhengjie Jin; Ming Zhao 007; Nei Kato (IEEE Netw., 2025)

Multi-Agent Reinforcement Learning in Adversarial Game Environments: Personalized Anti-Interference Strategies for Heterogeneous UAV Communication. - Yeguang Qin; Jie Tang; Fengxiao Tang; Ming Zhao 007; Nei Kato (IEEE Trans. Mob. Comput., 2025)