Wenqi Zhang

Orcid: 0000-0002-4482-6715

Affiliations:
  • Sony China Research Laboratory, Wireless Network Research Department, Beijing, China
  • Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network Technologies, China


According to our database1, Wenqi Zhang authored at least 34 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Efficient Semantic-Aware Encryption for Semantic Communication in Intelligent Connected Vehicles.
IEEE Wirel. Commun. Lett., November, 2025

Rotatable Array-Enabled Multi-BS Cooperative ISAC Transmit Beampattern Design.
IEEE Trans. Veh. Technol., September, 2025

Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems.
CoRR, September, 2025

Sensing-Aided Simultaneous Multi-BS Beam Alignment Strategy for Cooperative Scenarios.
IEEE Trans. Veh. Technol., August, 2025

Efficient Semantic-aware Encryption for Secure Communications in Intelligent Connected Vehicles.
CoRR, February, 2025

RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perception.
CoRR, January, 2025

2024
Spatiotemporal Ego-Graph Domain Adaptation for Traffic Prediction With Data Missing.
IEEE Trans. Intell. Transp. Syst., December, 2024

Secure Nested Lattices for MIMO Broadcast Channel With Confidential Messages.
IEEE Wirel. Commun. Lett., November, 2024

CSBA: Covert Semantic Backdoor Attack Against Intelligent Connected Vehicles.
IEEE Trans. Veh. Technol., November, 2024

Synchronization Mechanism: Preliminary Attempt to Enable Wireless Semantic Communication With Heterogeneous Knowledge Bases.
IEEE Commun. Lett., August, 2024

DiReDi: Distillation and Reverse Distillation for AIoT Applications.
IEEE Open J. Comput. Soc., 2024

DiReDi: Distillation and Reverse Distillation for AIoT Applications.
CoRR, 2024

On the Combination of AI and Wireless Technologies: 3GPP Standardization Progress.
CoRR, 2024

Edge AI-enabled chicken health detection based on enhanced FCOS-Lite and knowledge distillation.
Comput. Electron. Agric., 2024

Federated Multi-Agent Deep Reinforcement Learning Approach for Resource Allocation in Platoon-Based NR-V2X.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Pedestrian Warning: Intelligent Vision Sensor vs. Edge AI with LTE C-V2X in a Smart City.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

ICOP: Image-based Cooperative Perception for End-to-End Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Federated Learning with CSMA Based User Selection for IoT Applications.
Proceedings of the IEEE International Conference on Communications, 2024

Federated Graph Neural Networks for Dynamic Computation Offloading in Vehicular Networks.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Multi-Feature Based Client Selection and Feature Weight Update for Volatile Federated Learning.
Proceedings of the 29th IEEE Asia Pacific Conference on Communications, 2024

2023
RGMARL: Vehicle Dispatching Based on Road Information and Supply-Demand Distribution.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

An Efficient Client Selection for Wireless Federated Learning.
Proceedings of the 28th Asia Pacific Conference on Communications, 2023

2022
Dynamic Order Dispatching With Multiobjective Reward Learning.
IEEE Trans. Intell. Transp. Syst., 2022

CoRLNF: Joint Spatio-Temporal Pricing and Fleet Management for Ride-Hailing Platforms.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Three-Dimension Trajectory Design for Multi-UAV Wireless Network With Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2021

GraphTTE: Travel Time Estimation Based on Attention-Spatiotemporal Graphs.
IEEE Signal Process. Lett., 2021

Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Dynamic Fleet Management With Rewriting Deep Reinforcement Learning.
IEEE Access, 2020

Trajectory Design and Generalization for UAV Enabled Networks: A Deep Reinforcement Learning Approach.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

A Fast Deployment Strategy for UAV Enabled Network Based on Deep Learning.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

3D Deployment with Machine Learning and System Performance Analysis of UAV-Enabled Networks.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019
Multi-UAV Dynamic Wireless Networking With Deep Reinforcement Learning.
IEEE Commun. Lett., 2019

2018
Degrees of freedom of the cache-aided multi-hop line network.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

An Efficient Algorithm Based on Interference Cancellation Against Reactive Jammer.
Proceedings of the 24th Asia-Pacific Conference on Communications, 2018


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