RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images. - Qi Wang 083; Meihan Wu; Fei Yu; Chen Feng; Kaige Li; Yuemei Zhu; Eric Rigall; Bo He 002 (Sensors, 2019)

ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation. - Meihan Wu; Qi Wang 083; Eric Rigall; Kaige Li; Wenbo Zhu; Bo He 002; Tianhong Yan (Sensors, 2019)

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)

FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. - Meihan Wu; Li Li 064; Chang Tao; Eric Rigall; Xiaodong Wang 002; Cheng-Zhong Xu 001 (CIKM, 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)

FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning. - Tao Chang; Li Li 064; Meihan Wu; Wei Yu; Xiaodong Wang 002 (SECON, 2023)

U-CORE: A Unified Deep Cluster-wise Contrastive Framework for Open Relation Extraction. - Jie Zhou 032; Shenpo Dong; Yunxin Huang; Meihan Wu; Haili Li; Jingnan Wang; Hongkui Tu; Xiaodong Wang 002 (Trans. Assoc. Comput. Linguistics, 2023)

PAGroup: Privacy-aware grouping framework for high-performance federated learning. - Tao Chang; Li Li 064; Meihan Wu; Wei Yu; Xiaodong Wang 002; ChengZhong Xu 001 (J. Parallel Distributed Comput., 2023)

GraphCS: Graph-based client selection for heterogeneity in federated learning. - Tao Chang; Li Li 064; Meihan Wu; Wei Yu; Xiaodong Wang 002; Cheng-Zhong Xu 001 (J. Parallel Distributed Comput., 2023)

FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. - Meihan Wu; Li Li 064; Tao Chang; Peng Qiao; Cui Miao; Jie Zhou 032; Jingnan Wang; Xiaodong Wang 002 (IWQoS, 2024)

PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity. - Meihan Wu; Li Li 064; Tao Chang; Jie Zhou 032; Eric Rigall; Cui Miao; Xiaodong Wang 002; Chengzhong Xu 001 (IWQoS, 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 (OFC, 2024)

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices. - Meihan Wu; Tao Chang; Cui Miao; Jie Zhou 032; Chun Li; Xiangyu Xu 002; Ming Li 073; Xiaodong Wang 002 (CoRR, 2024)

On the Synergy between Flexible Ethernet and Point-to-multipoint Optical Networks. - Meihan Wu; Xiaoliang Chen; Francesco Musumeci 001; Ruoxing Li; Yuxiao Zhang; Qian Lv; Zuqing Zhu (OFC, 2025)

On the cross-layer restoration to address packet layer failures in P2MP-TRX-based WSONs. - Meihan Wu; Xiaoliang Chen; Francesco Musumeci 001; Ruoxing Li; Yuxiao Zhang; Qian Lv; Zuqing Zhu (J. Opt. Commun. Netw., 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 073; Xiaodong Wang 002 (CoRR, 2025)