Meihan Wu

According to our database, Meihan Wu authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

On the Service Provisioning and Reconfiguration for Asymmetric Traffic in Drop-and-Continue Optical Networks Based on P2MP-TRXs.

Ruoxing Li, Xiaoliang Chen, Fei Yang, Meihan Wu, Nelson L. S. da Fonseca, Zuqing Zhu

IEEE Trans. Netw., 2026

2025

On the cross-layer restoration to address packet layer failures in P2MP-TRX-based WSONs.

Meihan Wu, Xiaoliang Chen, Francesco Musumeci, Ruoxing Li, Yuxiao Zhang, Qian Lv, Zuqing Zhu

J. Opt. Commun. Netw., 2025

On the Synergy between Flexible Ethernet and Point-to-multipoint Optical Networks.

Meihan Wu, Xiaoliang Chen, Francesco Musumeci, Ruoxing Li, Yuxiao Zhang, Qian Lv, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

FedETE: Privacy-Preserving Federated Event Trigger Extraction.

Fei Hu, Tao Chang, Meihan Wu, Shenpo Dong, Jie Zhou, Jiaqian Yin, Xiaodong Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2025

OSLLM: A Retrieve-Reason-Refine Framework for Multi-Domain Relation Extraction with Large Language Models.

Jie Zhou, Yongxue Shan, Meihan Wu, Fei Hu, Li Zheng, Xiaodong Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients.

Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation.

Cui Miao, Tao Chang, Meihan Wu, Hongbin Xu, Chun Li, Ming Li, Xiaodong Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices.

Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang

CoRR, 2024

Dynamic Asymmetric SC Allocation and Reconfiguration in Drop-and-Continue Optical Networks based on P2MP-TRXs.

Ruoxing Li, Sijia Li, Meihan Wu, Yuxiao Zhang, Qian Lv, Zuqing Zhu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity.

Meihan Wu, Li Li, Tao Chang, Jie Zhou, Eric Rigall, Cui Miao, Xiaodong Wang, Chengzhong Xu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning.

Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Wang

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

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

U-CORE: A Unified Deep Cluster-wise Contrastive Framework for Open Relation Extraction.

Jie Zhou, Shenpo Dong, Yunxin Huang, Meihan Wu, Haili Li, Jingnan Wang, Hongkui Tu, Xiaodong Wang

Trans. Assoc. Comput. Linguistics, 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