Zhewen Xu

According to our database, Zhewen Xu authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

F-CP-RALS Algorithm for Channel Estimation in RIS-Aided mmWave MIMO Systems.

Ruiyan Du, Jiaqi Yue, Zhewen Xu, Fulai Liu

IEEE Trans. Green Commun. Netw., 2026

HiHa: Introducing hierarchical harmonic decomposition to implicit neural compression for atmospheric data.

Zhewen Xu, Baoxiang Pan, Xiaohui Wei, Hongliang Li, Dongyuan Tian, Zijian Li, Changzheng Liu

Comput. Geosci., 2026

MJOFormer: An adaptive land-ocean spatio-temporal transformer for Madden-Julian Oscillation forecasting.

Hongliang Li, Zhewen Xu, Zelong Fang, Nong Zhang, Changzheng Liu, Renge Zhou, Xiaohui Wei

Comput. Geosci., 2026

2025

DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast.

Hongliang Li, Nong Zhang, Zhewen Xu, Xiang Li, Changzheng Liu, Chongbo Zhao, Jie Wu

CoRR, December, 2025

Harnessing dynamic graph differential operators for efficient data-driven wind prediction.

Xiaohui Wei, Zhewen Xu, Hongliang Li, Jieyun Hao, Hengshan Yue, Changzheng Liu

GeoInformatica, July, 2025

Accurate Sea Surface Parameter Retrieval via a Dynamic Graph Physical Residual Network.

Renge Zhou, Zhewen Xu, Changzheng Liu

IEEE Trans. Geosci. Remote. Sens., 2025

ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition.

Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, Zhenghua Chen, Xiaohui Wei, Min Wu

Neural Networks, 2025

Alleviating straggler impacts for data parallel deep learning with hybrid parameter update.

Hongliang Li, Qi Tian, Dong Xu, Hairui Zhao, Zhewen Xu

Future Gener. Comput. Syst., 2025

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration.

Hairui Zhao, Hongliang Li, Qi Tian, Jie Wu, Meng Zhang, Zhewen Xu, Xiang Li, Haixiao Xu

Proceedings of the IEEE INFOCOM 2025, 2025

2024

Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning.

Zijian Li, Zihan Chen, Xiaohui Wei, Shang Gao, Hengshan Yue, Zhewen Xu, Tony Q. S. Quek

IEEE Trans. Mob. Comput., December, 2024

HiRM: Hierarchical resource management for earth system models on many-core clusters.

Zhewen Xu, Xiaohui Wei, Jieyun Hao, Jiale Li, Hongliang Li, Zhaohui Ding, Sicong Li

CCF Trans. High Perform. Comput., October, 2024

DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network.

Zhewen Xu, Xiaohui Wei, Jieyun Hao, Junze Han, Hongliang Li, Changzheng Liu, Zijian Li, Dongyuan Tian, Nong Zhang

GeoInformatica, July, 2024

HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data.

Zhewen Xu, Baoxiang Pan, Hongliang Li, Xiaohui Wei

CoRR, 2024

2023

ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs.

Hongliang Li, Hairui Zhao, Zhewen Xu, Xiang Li, Haixiao Xu

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning.

Hongliang Li, Dong Xu, Zhewen Xu, Xiang Li

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Coordinated process scheduling algorithms for coupled earth system models.

Xiaohui Wei, Zhewen Xu, Hongliang Li, Zhaohui Ding

Concurr. Comput. Pract. Exp., 2021

2020

CPSA: A Coordinated Process Scheduling Algorithm for Coupled Earth System Model.

Hongliang Li, Zhewen Xu, Fangyu Tang, Xiaohui Wei, Zhaohui Ding

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

On Estimation of Value-at-Risk with Recurrent Neural Network.

Zhichao Du, Menghan Wang, Zhewen Xu

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019