An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. - Chenhan Zhang; Shuyu Zhang 003; James J. Q. Yu; Shui Yu 001 (GLOBECOM, 2020)

Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. - Yuanshao Zhu; Shuyu Zhang 003; Yi Liu 057; Dusit Niyato; James J. Q. Yu (ICPADS, 2020)

FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. - Yi Liu 057; Shuyu Zhang 003; Chenhan Zhang; James J. Q. Yu (ITSC, 2020)

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach. - Yi Liu 057; James J. Q. Yu; Jiawen Kang 001; Dusit Niyato; Shuyu Zhang 003 (IEEE Internet Things J., 2020)

Traffic Data Imputation with Ensemble Convolutional Autoencoder. - Yongchao Ye; Shuyu Zhang 003; James J. Q. Yu (ITSC, 2021)

FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting. - Chenhan Zhang; Shuyu Zhang 003; James J. Q. Yu; Shui Yu 001 (IEEE Trans. Ind. Informatics, 2021)

Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach. - Chenhan Zhang; Shuyu Zhang 003; Xiexin Zou; Shui Yu 001; James J. Q. Yu (IEEE Internet Things J., 2023)