Meihan Wu

19 papers A 2B 3Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Service Provisioning and Reconfiguration for Asymmetric Traffic in Drop-and-Continue Optical Networks Based on P2MP-TRXs.
IEEE Trans. Netw.
Ruoxing Li, Xiaoliang Chen, Fei Yang, Meihan Wu, Nelson L. S. da Fonseca, Zuqing Zhu
2025 — conf
FedETE: Privacy-Preserving Federated Event Trigger Extraction.
NLPCC (4)
Fei Hu, Tao Chang, Meihan Wu, Shenpo Dong, Jie Zhou, Jiaqian Yin, Xiaodong Wang
2025 J jnl
FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation.
CoRR
Cui Miao, Tao Chang, Meihan Wu, Hongbin Xu, Chun Li, Ming Li, Xiaodong Wang
2025 A conf
OSLLM: A Retrieve-Reason-Refine Framework for Multi-Domain Relation Extraction with Large Language Models.
ICME
Jie Zhou, Yongxue Shan, Meihan Wu, Fei Hu, Li Zheng, Xiaodong Wang
2025 — conf
On the Synergy between Flexible Ethernet and Point-to-multipoint Optical Networks.
OFC
Meihan Wu, Xiaoliang Chen, Francesco Musumeci, Ruoxing Li, Yuxiao Zhang, Qian Lv, Zuqing Zhu
2025 J jnl
On the cross-layer restoration to address packet layer failures in P2MP-TRX-based WSONs.
J. Opt. Commun. Netw.
Meihan Wu, Xiaoliang Chen, Francesco Musumeci, Ruoxing Li, Yuxiao Zhang, Qian Lv, Zuqing Zhu
2024 — conf
Dynamic Asymmetric SC Allocation and Reconfiguration in Drop-and-Continue Optical Networks based on P2MP-TRXs.
OFC
Ruoxing Li, Sijia Li, Meihan Wu, Yuxiao Zhang, Qian Lv, Zuqing Zhu
2024 J jnl
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices.
CoRR
Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang
2024 B conf
FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning.
IWQoS
Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Wang
2024 B conf
PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity.
IWQoS
Meihan Wu, Li Li, Tao Chang, Jie Zhou, Eric Rigall, Cui Miao, Xiaodong Wang, Chengzhong Xu
2023 B conf
FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning.
SECON
Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang
2023 J jnl
GraphCS: Graph-based client selection for heterogeneity in federated learning.
J. Parallel Distributed Comput.
Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Cheng-Zhong Xu
2023 J jnl
PAGroup: Privacy-aware grouping framework for high-performance federated learning.
J. Parallel Distributed Comput.
Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Chengzhong Xu
2023 J jnl
U-CORE: A Unified Deep Cluster-wise Contrastive Framework for Open Relation Extraction.
Trans. Assoc. Comput. Linguistics
Jie Zhou, Shenpo Dong, Yunxin Huang, Meihan Wu, Haili Li, Jingnan Wang, Hongkui Tu, Xiaodong Wang
2022 J jnl
Dynamic Cross-Layer Restoration to Resolve Packet Layer Outages in FlexE-Over-EONs.
IEEE Trans. Netw. Serv. Manag.
Meihan Wu, Nelson L. S. da Fonseca, Zuqing Zhu
2022 A conf
FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction.
CIKM
Meihan Wu, Li Li, Chang Tao, Eric Rigall, Xiaodong Wang, Cheng-Zhong Xu
2021 J jnl
RN-Net: A Deep Learning Approach to 0-2 Hour Rainfall Nowcasting Based on Radar and Automatic Weather Station Data.
Sensors
Fuhan Zhang, Xiaodong Wang, Jiping Guan, Meihan Wu, Lina Guo
2019 J jnl
ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation.
Sensors
Meihan Wu, Qi Wang, Eric Rigall, Kaige Li, Wenbo Zhu, Bo He, Tianhong Yan
2019 J jnl
RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images.
Sensors
Qi Wang, Meihan Wu, Fei Yu, Chen Feng, Kaige Li, Yuemei Zhu, Eric Rigall, Bo He