Mining and Analysis Based on Big Data in Public Transportation. - Yinxin Bao; Chengyu Zhang 007; Quan Shi (ISICA, 2019)

Mining and Analysis of Big Data Based on New Energy Public Transit. - Yinxin Bao; Quan Shi (ISICA, 2019)

Global-Local Spatial-Temporal Residual Correlation Network for Urban Traffic Status Prediction. - Yin-Xin Bao; Yang Cao 014; Qin-Qin Shen; Quan Shi (Comput. Intell. Neurosci., 2022)

Spatial-Temporal 3D Residual Correlation Network for Urban Traffic Status Prediction. - Yin-Xin Bao; Quan Shi; Qin-Qin Shen; Yang Cao 014 (Symmetry, 2022)

Adjacent-DBSCAN Enhanced Time-Varying Multi-graph Convolution Network for Traffic Flow Prediction. - Yinxin Bao; Quan Shi (IEA/AIE (2), 2023)

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. - Yinxin Bao; Jiashuang Huang; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Zhenquan Shi 001; Quan Shi (Eng. Appl. Artif. Intell., 2023)

PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction. - Yinxin Bao; Jiali Liu; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Quan Shi (Inf. Sci., 2023)

Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction. - Yinxin Bao; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Quan Shi (Eng. Appl. Artif. Intell., 2024)

Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems. - Xian Yu; Yinxin Bao; Quan Shi (PeerJ Comput. Sci., 2024)

Dynamic Spatiotemporal Correlation Graph Convolutional Network for Traffic Speed Prediction. - Chenyang Cao; Yinxin Bao; Quan Shi; Qinqin Shen (Symmetry, 2024)

PLU-MCN: Perturbation learning enhanced U-shaped multi-graph convolutional network for traffic flow prediction. - Yinxin Bao; Qinqin Shen; Yang Cao 014; Quan Shi (Inf. Fusion, 2024)

Denoising diffusion spatial-temporal residual multi-graph convolutional network for traffic flow prediction. - Yinxin Bao; Qinqin Shen; Jinghan Xue; Weiping Ding 001; Quan Shi (Appl. Soft Comput., 2025)

Traffic speed prediction network based on multi-view spatio-temporal graph convolution network. - Chenyang Cao; Yin-Xin Bao; Yingyan Hou; Quan Shi (Comput. Electr. Eng., 2025)

Connected Vehicles Traffic Prediction - Emerging GNN Methods - Quan Shi; Yinxin Bao; Qinqin Shen; Zhenquan Shi 001; Ruifeng Gao (Springer, 2025)

Spatial-temporal synchronous graphsage for traffic prediction. - Xian Yu; Yinxin Bao; Quan Shi (Appl. Intell., 2025)

DA-RMN: Denoising Attention Enhanced Recurrent Multigraph Convolutional Network for Traffic Flow Prediction. - Yinxin Bao; Qinqin Shen; Yang Cao 014; Quan Shi (IEEE Internet Things J., 2025)

Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction. - Yinxin Bao; Qinqin Shen; Yang Cao 014; Quan Shi (Appl. Intell., 2025)