Fengxiao Tang

Orcid: 0000-0003-2414-4802

According to our database1, Fengxiao Tang authored at least 73 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox.
IEEE J. Biomed. Health Informatics, September, 2024

Joint Rate and Coverage Optimization for the THz/RF Multi-Band Communications of Space-Air-Ground Integrated Network in 6G.
IEEE Trans. Wirel. Commun., June, 2024

Deep-Reinforcement-Learning-Based Content Caching in Satellite-Terrestrial Assisted Airborne Communications.
IEEE Internet Things J., June, 2024

Multiagent RL-Based Joint Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network.
IEEE Internet Things J., April, 2024

Five Disruptive Technologies in 6G to Support Digital Twin Networks.
IEEE Wirel. Commun., February, 2024

CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection.
Neural Networks, 2024

LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19.
Multim. Tools Appl., 2024

KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment.
CoRR, 2024

Federated Hypergraph Learning with Hyperedge Completion.
CoRR, 2024

Large Language Model(LLM) assisted End-to-End Network Health Management based on Multi-Scale Semanticization.
CoRR, 2024

6G comprehensive intelligence: network operations and optimization based on Large Language Models.
CoRR, 2024

Frequency Selective Surface Toward 6G Communication Systems: A Contemporary Survey.
IEEE Commun. Surv. Tutorials, 2024

DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases.
Biomed. Signal Process. Control., 2024

Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis.
Appl. Soft Comput., 2024

ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring.
Appl. Intell., 2024

Nash Equilibrium-Based Spectrum Pricing and Allocation in Satellite-Terrestrial Network.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection.
Neural Networks, October, 2023

Resource Allocation for Aerial Assisted Digital Twin Edge Mobile Network.
IEEE J. Sel. Areas Commun., October, 2023

Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G.
IEEE Netw., September, 2023

The Roadmap of Communication and Networking in 6G for the Metaverse.
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

UniSA: Unified Generative Framework for Sentiment Analysis.
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

Hybrid Routing in FSO/RF Space-Air-Ground Integrated Network.
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

Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA.
IEEE Trans. Netw. Sci. Eng., 2022

Survey on Digital Twin Edge Networks (DITEN) Toward 6G.
IEEE Open J. Commun. Soc., 2022

A deep learning-based framework for detecting COVID-19 patients using chest X-rays.
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

AI Models for Green Communications Towards 6G.
IEEE Commun. Surv. Tutorials, 2022

Feature Fusion Super Resolution Network with Gradient Guidance.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

AFFSRN: Attention-Based Feature Fusion Super-Resolution Network.
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

EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition.
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

AI based Service Management for 6G Green Communications.
CoRR, 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
Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network.
IEEE Wirel. Commun. Lett., 2020

Ten Challenges in Advancing Machine Learning Technologies toward 6G.
IEEE Wirel. Commun., 2020

6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence.
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
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence.
IEEE Wirel. Commun., 2019

On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs.
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

An Intelligent Packet Forwarding Approach for Disaster Recovery Networks.
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

A Tensor Based Deep Learning Technique for Intelligent Packet Routing.
Proceedings of the 2017 IEEE Global Communications Conference, 2017


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