Zhenyu Zhang

According to our database, Zhenyu Zhang authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Causal Modeling-Based Multivariate KPIs Prediction for Parameter Adjustment in Cellular Networks.

Zhenyu Zhang, Qi Li, Yong Zhang, Yuemeng Zhang, Tianmu Sha, Xiaolei Hua, Lin Zhu, Junlan Feng

IEEE Trans. Veh. Technol., January, 2026

Fine-grained inter-series dependency enhanced mining for multi-domain multivariate time series forecasts.

Qi Li, Tianmu Sha, Chenyang He, Zhenyu Zhang, Xiaolei Hua, Dayuan Fu, Lin Zhu, Yinglei Teng, Yong Zhang

Neurocomputing, 2026

2025

Joint AI Service Placement, Task Scheduling, and Resource Allocation for IoT in 6G Networks.

Zhenyu Zhang, Lu Lu, Qin Li, Yuhao Chai, Di Wu, Yong Zhang

IEEE Internet Things J., September, 2025

JCCMTM: Joint channel-independent and channel-dependent strategy for masked multivariate time-series modeling.

Qi Li, Zhenyu Zhang, Yong Zhang, Zhao Zhang, Lin Zhu, Xiaolei Hua, Renkai Yu, Xinwen Fan, Zhe Lei, Junlan Feng

Neural Networks, 2025

Research on joint game theory and multi-agent reinforcement learning-based resource allocation in micro operator networks.

Yuhao Chai, Yong Zhang, Zhenyu Zhang, Da Guo, Yinglei Teng

Comput. Networks, 2025

Heterogeneous Request Scheduling and Resource Optimization in Serverless Edge Networks.

Jialu Tian, Yuhao Chai, Nanxiang Shi, Yue Lian, Zhenyu Zhang, Yong Zhang, Yinglei Teng

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

ELinear: An Efficient Linear Architecture for Edge Intelligence Time Series Forecasting.

Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Yinglei Teng, Da Guo

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

PerTime: A Multi-scale Periodic Mixing Model for Long-term Time Series Forecasting.

Zilong Yan, Chenyang He, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data.

Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Da Guo

Proceedings of the International Joint Conference on Neural Networks, 2025

Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting.

Qi Li, Zhenyu Zhang, Lei Yao, Zhaoxia Li, Tianyi Zhong, Yong Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Distributed Inference Optimization for Large Language Model in Edge-Cloud Collaborative Networks.

Zideng Feng, Lu Lu, Qin Li, Yuhao Chai, Zhenyu Zhang, Yong Zhang, Yinglei Teng, Da Guo

Proceedings of the IEEE International Conference on Communications, 2025

2024

Accelerating Distributed Model Training through Intelligent Node Selection and Data Allocation Strategies in 6G network.

Kaice Gao, Yuhao Chai, Yixuan Li, Zhenyu Zhang, Lu Lu, Qin Li, Yong Zhang

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

Latency Equalization Policy of End-to-End Network Slicing Based on Reinforcement Learning.

Haonan Bai, Yong Zhang, Zhenyu Zhang, Siyu Yuan

IEEE Trans. Netw. Serv. Manag., March, 2023

Joint Optimization of the Partition and Scheduling of DNN Tasks in Computing and Network Convergence.

Zhenyu Zhang, Qin Li, Lu Lu, Da Guo, Yong Zhang

IEEE Netw. Lett., 2023

Joint Optimization of DNN Partition and Continuous Task Scheduling for Digital Twin-Aided MEC Network With Deep Reinforcement Learning.

Siyu Yuan, Zhenyu Zhang, Qin Li, Weiyuan Li, Yong Zhang

IEEE Access, 2023

2021

Resource Allocation for Multi-service NOMA System Based on Deep Reinforcement Learning.

Zhenyu Zhang, Weijun Zheng, Weiping Shao, Yong Zhang, Da Guo

Proceedings of the Human Centered Computing - 7th International Conference, 2021