Zhengru Fang

Orcid: 0000-0003-0028-7892

According to our database1, Zhengru Fang authored at least 32 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
PACP: Priority-Aware Collaborative Perception for Connected and Autonomous Vehicles.
IEEE Trans. Mob. Comput., December, 2024

Flying Ad-Hoc Network Covert Communications with Deep Reinforcement Learning.
IEEE Wirel. Commun., October, 2024

Age of Information Based URLLC Transmission for UAVs on Pylon Turn.
IEEE Trans. Veh. Technol., June, 2024

Evaluating AoI-Centric HARQ Protocols for UAV Networks.
IEEE Trans. Commun., January, 2024

Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV.
CoRR, 2024

R-ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications.
CoRR, 2024

Direct-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention.
CoRR, 2024

Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks.
CoRR, 2024

Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics.
CoRR, 2024

PIB: Prioritized Information Bottleneck Framework for Collaborative Edge Video Analytics.
CoRR, 2024

AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging.
CoRR, 2024

AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning.
CoRR, 2024

Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities.
CoRR, 2024

SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Load-Balanced Virtual Network Embedding Based on Deep Reinforcement Learning for 6G Regional Satellite Networks.
IEEE Trans. Veh. Technol., November, 2023

Age of Information in UAV Aided Wireless Sensor Networks Relying on Blockchain.
IEEE Trans. Veh. Technol., September, 2023

3U: Joint Design of UAV-USV-UUV Networks for Cooperative Target Hunting.
IEEE Trans. Veh. Technol., March, 2023

Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving.
CoRR, 2023

Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving.
CoRR, 2023

Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Average Peak Age of Information in Underwater Information Collection With Sleep-Scheduling.
IEEE Trans. Veh. Technol., 2022

Edge Intelligence for Mission-Critical 6G Services in Space-Air-Ground Integrated Networks.
IEEE Netw., 2022

Age of Information in Energy Harvesting Aided Massive Multiple Access Networks.
IEEE J. Sel. Areas Commun., 2022

Stochastic Optimization-Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks.
IEEE Internet Things J., 2022

Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay.
Proceedings of the IEEE International Conference on Communications, 2022

Secure Routing in Underwater Acoustic Sensor Networks based on AFSA-ACOA Fusion Algorithm.
Proceedings of the IEEE International Conference on Communications, 2022

2021
On Solving Link-a-Pix Picture Puzzles.
IEEE Trans. Games, 2021

Machine-Learning-Aided Mission-Critical Internet of Underwater Things.
IEEE Netw., 2021

AoI-Inspired Collaborative Information Collection for AUV-Assisted Internet of Underwater Things.
IEEE Internet Things J., 2021

Efficient On-Demand UAV Deployment and Configuration for Off-Shore Relay Communications.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Heterogeneous Multi-AUV Aided Green Internet of Underwater Things.
Proceedings of the ICC 2021, 2021

2020
QLACO: Q-learning Aided Ant Colony Routing Protocol for Underwater Acoustic Sensor Networks.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020


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