Tao Zhang
Orcid: 0000-0002-3366-7640Affiliations:
- Beijing Jiaotong University, School of Cyberspace Science and Technology, Beijing, China
- Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China (PhD 2023)
According to our database1,
Tao Zhang
authored at least 48 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Intelligent Resource Adaptation for Diversified Service Requirements in Industrial IoT.
IEEE Trans. Cogn. Commun. Netw., August, 2025
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses.
CoRR, May, 2025
CPPU: Policy Space Diversity for Informative Path Planning and GAI-Enabled Updating CSI in ISAC.
IEEE Trans. Cogn. Commun. Netw., April, 2025
CoRR, April, 2025
IEEE Commun. Surv. Tutorials, April, 2025
Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach.
CoRR, February, 2025
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning.
CoRR, January, 2025
Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study.
CoRR, January, 2025
pFedCal: Lightweight Personalized Federated Learning With Adaptive Calibration Strategy.
IEEE Trans. Serv. Comput., 2025
Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction.
IEEE Open J. Commun. Soc., 2025
An adaptive asynchronous federated learning framework for heterogeneous Internet of things.
Inf. Sci., 2025
Moving Target Defense Meets Artificial-Intelligence-Driven Network: A Comprehensive Survey.
IEEE Internet Things J., 2025
2024
FedASA: A Personalized Federated Learning With Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2024
Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT.
IEEE Internet Things J., November, 2024
EPDB: An Efficient and Privacy-Preserving Electric Charging Scheme in Internet of Robotic Things.
IEEE Internet Things J., October, 2024
Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things.
IEEE Internet Things J., September, 2024
DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2024
Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses.
CoRR, 2024
Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach.
CoRR, 2024
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses.
CoRR, 2024
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024
Towards Secrecy Energy-Efficient RIS Aided UAV Network: A Lyapunov-Guided Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Energy Efficiency Maximization for Secure Live Video Streaming in UAV Wireless Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
A Dynamic Priority Packet Scheduling for UAV Assisted AoI-Aware Network: A Deep Reinforcement Learning Approach.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network.
Proceedings of the IEEE International Conference on Communications, 2024
Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks.
Proceedings of the IEEE International Conference on Communications, 2024
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024
Energy Efficiency Optimization for UAV-Assisted Cellular Networks: A Periodic Clustering-Based MATD3 Approach.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
High-quality Trajectory Generation for Autonomous Driving: A Lightweight Federated Learning-based Diffusion Model.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
2023
When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., October, 2023
IEEE Trans. Ind. Informatics, 2023
How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning.
IEEE Trans. Inf. Forensics Secur., 2023
Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach.
IEEE Trans. Dependable Secur. Comput., 2023
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023
Decentralized Reputation-based Leader Election for Privacy-preserving Federated Learning on Internet of Things.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023
2022
Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022
MARL-MOTAG: Multi-Agent Reinforcement Learning Based Moving Target Defense to thwart DDoS attacks.
Proceedings of the International Conference on Networking and Network Applications, 2022
CMT-MQ: Multi-QoS Aware Adaptive Concurrent Multipath Transfer With Reinforcement Learning.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
2021
IEEE Internet Things J., 2021
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
2020
DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
2019
An Efficient and Agile Spatio-Temporal Route Mutation Moving Target Defense Mechanism.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019
An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Intelligent Routing Algorithm Based on Deep Belief Network for Multimedia Service in Knowledge Centric VANETs.
Proceedings of the International Conference on Networking and Network Applications, 2018
Proceedings of the International Conference on Networking and Network Applications, 2018