Yin-Xin Bao

According to our database, Yin-Xin Bao authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PLU-MCN: Perturbation learning enhanced U-shaped multi-graph convolutional network for traffic flow prediction.

Yinxin Bao, Qinqin Shen, Yang Cao, Quan Shi

Inf. Fusion, April, 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

2023

PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction.

Yinxin Bao, Jiali Liu, Qinqin Shen, Yang Cao, Weiping Ding, Quan Shi

Inf. Sci., July, 2023

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction.

Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhen-Quan Shi, Quan Shi

Eng. Appl. Artif. Intell., May, 2023

Adjacent-DBSCAN Enhanced Time-Varying Multi-graph Convolution Network for Traffic Flow Prediction.

Yinxin Bao, Quan Shi

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022

Spatial-Temporal 3D Residual Correlation Network for Urban Traffic Status Prediction.

Yin-Xin Bao, Quan Shi, Qin-Qin Shen, Yang Cao

Symmetry, 2022

Global-Local Spatial-Temporal Residual Correlation Network for Urban Traffic Status Prediction.

Yin-Xin Bao, Yang Cao, Qin-Qin Shen, Quan Shi

Comput. Intell. Neurosci., 2022

2019

Mining and Analysis of Big Data Based on New Energy Public Transit.

Yinxin Bao, Quan Shi

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

Mining and Analysis Based on Big Data in Public Transportation.

Yinxin Bao, Chengyu Zhang, Quan Shi

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019