Zhewen Xu - RankMe

17 papers A* 1B 1C 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HiHa: Introducing hierarchical harmonic decomposition to implicit neural compression for atmospheric data. Comput. Geosci. Zhewen Xu, Baoxiang Pan, Xiaohui Wei, Hongliang Li, Dongyuan Tian, Zijian Li, Changzheng Liu
2026	J	`jnl`	MJOFormer: An adaptive land-ocean spatio-temporal transformer for Madden-Julian Oscillation forecasting. Comput. Geosci. Hongliang Li, Zhewen Xu, Zelong Fang, Nong Zhang, Changzheng Liu, Renge Zhou, Xiaohui Wei
2025	J	`jnl`	ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition. Neural Networks Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, Zhenghua Chen, Xiaohui Wei, Min Wu
2025	J	`jnl`	Accurate Sea Surface Parameter Retrieval via a Dynamic Graph Physical Residual Network. IEEE Trans. Geosci. Remote. Sens. Renge Zhou, Zhewen Xu, Changzheng Liu
2025	J	`jnl`	Alleviating straggler impacts for data parallel deep learning with hybrid parameter update. Future Gener. Comput. Syst. Hongliang Li, Qi Tian, Dong Xu, Hairui Zhao, Zhewen Xu
2025	A*	`conf`	ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration. INFOCOM Hairui Zhao, Hongliang Li, Qi Tian, Jie Wu, Meng Zhang, Zhewen Xu, Xiang Li, Haixiao Xu
2025	J	`jnl`	DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast. CoRR Hongliang Li, Nong Zhang, Zhewen Xu, Xiang Li, Changzheng Liu, Chongbo Zhao, Jie Wu
2025	J	`jnl`	Harnessing dynamic graph differential operators for efficient data-driven wind prediction. GeoInformatica Xiaohui Wei, Zhewen Xu, Hongliang Li, Jieyun Hao, Hengshan Yue, Changzheng Liu
2024	J	`jnl`	DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network. GeoInformatica Zhewen Xu, Xiaohui Wei, Jieyun Hao, Junze Han, Hongliang Li, Changzheng Liu, Zijian Li, Dongyuan Tian, Nong Zhang
2024	J	`jnl`	Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning. IEEE Trans. Mob. Comput. Zijian Li, Zihan Chen, Xiaohui Wei, Shang Gao, Hengshan Yue, Zhewen Xu, Tony Q. S. Quek
2024	J	`jnl`	HiHa: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression for Atmospheric Data. CoRR Zhewen Xu, Baoxiang Pan, Hongliang Li, Xiaohui Wei
2024	J	`jnl`	HiRM: Hierarchical resource management for earth system models on many-core clusters. CCF Trans. High Perform. Comput. Zhewen Xu, Xiaohui Wei, Jieyun Hao, Jiale Li, Hongliang Li, Zhaohui Ding, Sicong Li
2023	C	`conf`	ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs. CLUSTER Hongliang Li, Hairui Zhao, Zhewen Xu, Xiang Li, Haixiao Xu
2022	—	`conf`	Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning. HPCC/DSS/SmartCity/DependSys Hongliang Li, Dong Xu, Zhewen Xu, Xiang Li
2021	J	`jnl`	Coordinated process scheduling algorithms for coupled earth system models. Concurr. Comput. Pract. Exp. Xiaohui Wei, Zhewen Xu, Hongliang Li, Zhaohui Ding
2020	B	`conf`	CPSA: A Coordinated Process Scheduling Algorithm for Coupled Earth System Model. ICCCN Hongliang Li, Zhewen Xu, Fangyu Tang, Xiaohui Wei, Zhaohui Ding
2019	—	`conf`	On Estimation of Value-at-Risk with Recurrent Neural Network. AI4I Zhichao Du, Menghan Wang, Zhewen Xu