Fengxiao Tang
Orcid: 0000-0003-2414-4802
According to our database1,
Fengxiao Tang
authored at least 61 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Multiagent RL-Based Joint Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network.
IEEE Internet Things J., April, 2024
IEEE Wirel. Commun., February, 2024
LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19.
Multim. Tools Appl., 2024
ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring.
Appl. Intell., 2024
2023
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection.
Neural Networks, October, 2023
IEEE J. Sel. Areas Commun., October, 2023
IEEE Netw., September, 2023
IEEE Wirel. Commun., August, 2023
Intelligent Configuration Method Based on UAV-Driven Frequency Selective Surface for Communication Band Shielding.
IEEE Internet Things J., July, 2023
Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT.
IEEE Trans. Ind. Informatics, May, 2023
Adaptive Caching Scheme for Jointly Optimizing Delay and Energy Consumption in Heterogeneous Digital Twin IoT.
IEEE Trans. Netw. Sci. Eng., 2023
H-BILSTM: A Novel Bidirectional Long Short Term Memory Network Based Intelligent Early Warning Scheme in Mobile Edge Computing (MEC).
IEEE Trans. Emerg. Top. Comput., 2023
Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization.
IEEE Trans. Emerg. Top. Comput., 2023
Federated Learning for Intelligent Transmission with Space-Air-Ground Integrated Network toward 6G.
IEEE Netw., 2023
An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning.
Multim. Tools Appl., 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Energy Efficient Routing for Fso-Rf Space-Air-Ground Integrated Network: A Deep Reinforcement Learning Approach.
Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023
DUO: Stealthy Adversarial Example Attack on Video Retrieval Systems via Frame-Pixel Search.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Performance Analysis of Space-Air-Ground Integrated Network (SAGIN): UAV Altitude and Position Angle.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
Machine Learning for Space-Air-Ground Integrated Network Assisted Vehicular Network: A Novel Network Architecture for Vehicles.
IEEE Veh. Technol. Mag., 2022
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Open J. Commun. Soc., 2022
Multim. Syst., 2022
Blockchain-Based Trusted Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN): A Federated Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2022
A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN).
IEEE J. Sel. Areas Commun., 2022
Differentiated Federated Reinforcement Learning for Dynamic and Heterogeneous Network.
CoRR, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC).
Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems.
IEEE Trans. Emerg. Top. Comput., 2021
Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach.
IEEE Netw., 2021
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, 2021
Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges.
IEEE Commun. Surv. Tutorials, 2021
SEOVER: Sentence-Level Emotion Orientation Vector Based Conversation Emotion Recognition Model.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
IEEE Wirel. Commun. Lett., 2020
IEEE Wirel. Commun., 2020
IEEE Wirel. Commun., 2020
ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System.
IEEE Trans. Sustain. Comput., 2020
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches.
Proc. IEEE, 2020
Probe Delay Based Adaptive Port Scanning for IoT Devices with Private IP Address Behind NAT.
IEEE Netw., 2020
Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet.
IEEE J. Sel. Areas Commun., 2020
2019
IEEE Wirel. Commun., 2019
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.
IEEE Trans. Computers, 2019
Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms.
IEEE Trans. Computers, 2019
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.
IEEE Wirel. Commun., 2018
A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks.
IEEE Wirel. Commun., 2018
AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based Networks.
IEEE Trans. Veh. Technol., 2018
An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach.
IEEE Internet Things J., 2018
On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach.
IEEE Commun. Lett., 2018
On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT.
IEEE Commun. Mag., 2018
Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach.
Proceedings of the IEEE Global Communications Conference, 2018
2017
The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective.
IEEE Wirel. Commun., 2017
Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning.
IEEE Trans. Computers, 2017
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems.
IEEE Commun. Surv. Tutorials, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017