Meihan Wu

According to our database, Meihan Wu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

GraphCS: Graph-based client selection for heterogeneity in federated learning.

Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Cheng-Zhong Xu

J. Parallel Distributed Comput., July, 2023

PAGroup: Privacy-aware grouping framework for high-performance federated learning.

Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, ChengZhong Xu

J. Parallel Distributed Comput., May, 2023

FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning.

Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

2022

Dynamic Cross-Layer Restoration to Resolve Packet Layer Outages in FlexE-Over-EONs.

Meihan Wu, Nelson L. S. da Fonseca, Zuqing Zhu

IEEE Trans. Netw. Serv. Manag., 2022

FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction.

Meihan Wu, Li Li, Chang Tao, Eric Rigall, Xiaodong Wang, Cheng-Zhong Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

RN-Net: A Deep Learning Approach to 0-2 Hour Rainfall Nowcasting Based on Radar and Automatic Weather Station Data.

Fuhan Zhang, Xiaodong Wang, Jiping Guan, Meihan Wu, Lina Guo

Sensors, 2021

2019

ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation.

Meihan Wu, Qi Wang, Eric Rigall, Kaige Li, Wenbo Zhu, Bo He, Tianhong Yan

Sensors, 2019

RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images.

Qi Wang, Meihan Wu, Fei Yu, Chen Feng, Kaige Li, Yuemei Zhu, Eric Rigall, Bo He

Sensors, 2019