Bin Wang

According to our database, Bin Wang authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

WaveGFormer: A wavelet-enhanced graph transformer for spatio-temporal traffic flow forecasting.

Lihong Zhong, Bin Wang, Zhao Tian, Wei Liu, Wei She

Inf. Sci., 2026

Dynamic Spatiotemporal Information Interaction for Multidrone Single Object Tracking.

Xiangqian Liu, Guangwei Zhang, Bin Wang, Lihong Zhong, Bing Zhou

IEEE Internet Things J., 2026

Per-FedDMA: A personalized federated learning method based on deep multisampling and hypernetwork dynamic adaptation.

Wei Liu, Ying Wang, Bin Wang, Guangjun Zai, Wei She, Zhao Tian

Comput. Commun., 2026

2025

AHIBCS: an adaptive historical-information-based client selection algorithm for Non-IID data.

Wei Liu, Xu Wang, Bin Wang, Wentao Cui, Zhao Tian, Guangjun Zai

Clust. Comput., December, 2025

FedDM: A Discrepancy-Aware Federated Learning Method Based on Multibranch Feature Fusion for Non-IID Data Environments.

Wei Liu, Jiayu Chen, Bin Wang, Guangjun Zai, Wei She, Zhao Tian

IEEE Internet Things J., November, 2025

Multiview Spatiotemporal Dynamic Graph Convolution Network for Traffic Flow Prediction.

Lihong Zhong, Bin Wang, Zhao Tian, Tiago Koketsu Rodrigues, Wei Liu, Wei She

IEEE Internet Things J., September, 2025

MPKD-DCFI: multi-path knowledge distillation via dynamic contextual feature interaction.

Wei Liu, Wenju Zhang, Bin Wang, Junfeng Li, Wei She, Zhao Tian

Int. J. Mach. Learn. Cybern., August, 2025

Blockchain-Empowered Asynchronous Federated Reinforcement Learning for IoT-Based Traffic Trajectory Prediction.

Bin Wang, Zhao Tian, Fengxiao Tang, Heng Pan, Wei She, Wei Liu

IEEE Internet Things J., June, 2025

A multi-center federated learning mechanism based on consortium blockchain for data secure sharing.

Bin Wang, Zhao Tian, Xinrui Liu, Yujie Xia, Wei She, Wei Liu

Knowl. Based Syst., 2025

Per-FedAHM: Adaptive historical memory-driven personalized federated learning.

Wei Liu, Jiayu Chen, Bin Wang, Zhao Tian, Wei She

Neurocomputing, 2025

A decentralized asynchronous federated learning framework for edge devices.

Bin Wang, Zhao Tian, Jie Ma, Wenju Zhang, Wei She, Wei Liu

Future Gener. Comput. Syst., 2025

Decentralized traffic detection utilizing blockchain-federated learning with quality-driven aggregation.

Wei Liu, Wentao Cui, Bin Wang, Heng Pan, Wei She, Zhao Tian

Comput. Networks, 2025

2022

Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism.

Chang Li, Bin Wang, Silin Zhang, Yu Liu, Rencheng Song, Juan Cheng, Xun Chen

Comput. Biol. Medicine, 2022