Zhang Liu

According to our database, Zhang Liu authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unleashing the Power of Tree-of-Thoughts for Edge-Enabled AIGC Service Provisioning.

Zhang Liu, Shanhao Zhan, Shaowei Shen, Lianfen Huang, Qiao Xiang, Ying-Jun Angela Zhang, Dusit Niyato

CoRR, May, 2026

Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services.

Zhang Liu, Hongyang Du, Xiangwang Hou, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato, Khaled Ben Letaief

IEEE Trans. Mob. Comput., April, 2026

Cross-Layer Traffic Allocation and Contention Window Optimization for Wi-Fi 7 MLO: When DRL Meets LSTM.

Zhang Liu, Xianbin Wang, Shumin Lian, Lianfen Huang, Liqun Fu, Ying-Jun Angela Zhang

CoRR, March, 2026

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-Agent Reinforcement Learning.

Xin Tang, Qian Chen, Wenjie Weng, Chao Jin, Zhang Liu, Jiacheng Wang, Geng Sun, Xiaohuan Li, Dusit Niyato

IEEE Trans. Mob. Comput., January, 2026

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks With Delayed CSI Feedback.

Zhang Liu, Lianfen Huang, Zhibin Gao, Xianbin Wang, Dusit Niyato, Xuemin Shen

IEEE Trans. Wirel. Commun., 2026

2025

Digital Twin-Assisted Task Offloading and Resource Allocation in ISAC-Enabled Internet of Vehicles.

Shanhao Zhan, Zhang Liu, Lianfen Huang, Shaowei Shen, Ziyang Bai, Zhibin Gao, Dusit Niyato

CoRR, November, 2025

Generative artificial intelligence-oriented synthetic network: Toward Integrated Fine-Tuning and Inference When Generative Artificial Intelligence Meets Edge Intelligence in the Intelligent Internet of Vehicles.

Ning Chen, Zhipeng Cheng, Xuwei Fan, Zhang Liu, Jie Yang, Bangzhen Huang, Yifeng Zhao, Lianfen Huang, Xiaojiang Du

IEEE Veh. Technol. Mag., June, 2025

DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach.

Zhang Liu, Hongyang Du, Junzhe Lin, Zhibin Gao, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato

IEEE Trans. Mob. Comput., March, 2025

Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking.

Zhang Liu, Dusit Niyato, Jiacheng Wang, Geng Sun, Lianfen Huang, Zhibin Gao, Xianbin Wang

CoRR, January, 2025

Joint Model Caching and Resource Allocation in Generative AI - Enabled Wireless Edge Networks.

Zhang Liu, Hongyang Du, Lianfen Huang, Zhibin Gao, Dusit Niyato

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024

A Lyapunov-Based Resource Allocation Method for Edge-Assisted Industrial Internet of Things.

Jieyi Zhang, Yongzhi Zhai, Zhang Liu, Ye Wang

IEEE Internet Things J., December, 2024

GainNet: Coordinates the Odd Couple of Generative AI and 6G Networks.

Ning Chen, Jie Yang, Zhipeng Cheng, Xuwei Fan, Zhang Liu, Bangzhen Huang, Yifeng Zhao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani

IEEE Netw., September, 2024

Integrated Sensing, Communication, and Computing for Cost-effective Multimodal Federated Perception.

Ning Chen, Zhipeng Cheng, Xuwei Fan, Zhang Liu, Bangzhen Huang, Yifeng Zhao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani

ACM Trans. Multim. Comput. Commun. Appl., August, 2024

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds.

Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai

IEEE Trans. Netw. Serv. Manag., August, 2024

TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds.

Zhang Liu, Yifeng Zhao, Seyyedali Hosseinalipour, Zhibin Gao, Lianfen Huang, Huaiyu Dai

IEEE Trans. Veh. Technol., March, 2024

Integrated Sensing, Communication, and Computing: An Information-oriented Resource Transaction Mechanism.

Ning Chen, Zhipeng Cheng, Xuwei Fan, Zhang Liu, Bangzhen Huang, Jie Yang, Yifeng Zhao, Lianfen Huang

CoRR, 2024

GainNet: Coordinates the Odd Couple of Generative AI and 6G Networks.

Ning Chen, Jie Yang, Zhipeng Cheng, Xuwei Fan, Zhang Liu, Bangzhen Huang, Yifeng Zhao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani

CoRR, 2024

Collaborative Sensing-Assisted Task Offloading and Resource Allocation for ISAC-Based Vehicular Clouds.

Junzhe Lin, Zhang Liu, Ning Chen, Yifeng Zhao, Lianfen Huang

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023

RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds.

Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang

IEEE Trans. Veh. Technol., September, 2023

2021

Topology-Aware Dynamic Computation Offloading in Vehicular Networks.

Zhang Liu, Zhibin Gao, Minghui LiWang, Fangzhe Chen, Yilin Wang, Lianfen Huang, Yuliang Tang

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

System Level simulation for 5G Ultra-Reliable Low-Latency Communication.

Lianfen Huang, Tao Chen, Zhibin Gao, Manman Luo, Zhang Liu

Proceedings of the International Conference on Communications, 2021

Code-based Computation Offloading in Vehicular Fog Networks.

Fangzhe Chen, Zhibin Gao, Zhang Liu, Lianfen Huang, Yuliang Tang

Proceedings of the International Conference on Communications, 2021