Ruichun Gu

According to our database, Ruichun Gu authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

FedMAB: adaptive multimodal federated learning with multi-armed bandits.

Chaofeng Li, Ruichun Gu, Zhijian Dong

Multim. Syst., February, 2026

GFL-SAR: Graph Federated Collaborative Learning Framework Based on Structural Amplification and Attention Refinement.

Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

Comput. Mater. Continua, 2026

2025

Decentralized Federated Graph Learning via Surrogate Model.

Bolin Zhang, Haiying Liu, Ruichun Gu

Comput. Mater. Continua, 2025

FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution.

Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

IEEE Access, 2025

FedCMAS: Cross-Modal Contrastive Learning and Shapley Value-Driven Client Selection in Multimodal Federated Learning.

Ruichun Gu, Chaofeng Li, Zhuolun Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Local Drift Correction and Attention Aggregation for Self-Organized Federated Learning.

Haiying Liu, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Bolin Zhang, Xuebao Li

Proceedings of the 23rd IEEE International Conference on Trust, 2024

2020

MeFILL: A Multi-edged Framework for Intelligent and Low Latency Mobile IoT Services.

Ruichun Gu, Yu Lei, Junxing Zhang

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

2019

GANSlicing: A GAN-Based Software Defined Mobile Network Slicing Scheme for IoT Applications.

Ruichun Gu, Junxing Zhang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Enhancing Security and Scalability in Software Defined LTE Core Networks.

Ruichun Gu, Xiaolong Zhang, Yu Lei, Junxing Zhang

Proceedings of the 17th IEEE International Conference On Trust, 2018