Boting Qu

According to our database, Boting Qu authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

Bi-STDGCN: A Bidirectional Spatiotemporal Diffusion Graph Convolutional Network With Multiscale Anomaly-Guided Attention for Traffic Forecasting.

Jianqiang Yan, Beibei Dong, Boting Qu, Yuan Gao

IEEE Internet Things J., 2026

2025

Cost-Efficient Fall Risk Assessment With Attention Augmented Vision Machine Learning on Sit-to-Stand Test Videos.

Chunhua Pan, Boting Qu, Rui Miao, Xin Wang

IEEE Access, 2025

Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation.

Chunhua Pan, Rui Miao, Qing Zhang, Boting Qu, Xin Wang

IEEE Access, 2025

2024

GECRAN: Graph embedding based convolutional recurrent attention network for traffic flow prediction.

Jianqiang Yan, Lin Zhang, Yuan Gao, Boting Qu

Expert Syst. Appl., 2024

2023

Utilization of Spatio-Temporal and Social Information for POI Group Recommendation.

Pengyu Niu, Boting Qu, Jun Feng, Xin Wang

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

2022

A Dynamic Ridesplitting Method With Potential Pick-Up Probability Based on GPS Trajectories.

Boting Qu, Xinyu Ren, Jun Feng, Xin Wang

IEEE Trans. Intell. Transp. Syst., 2022

How Many Vehicles Do We Need? Fleet Sizing for Shared Autonomous Vehicles With Ridesharing.

Boting Qu, Linran Mao, Zhenzhou Xu, Jun Feng, Xin Wang

IEEE Trans. Intell. Transp. Syst., 2022

ASRL: An Adaptive GPS Sampling Method Using Deep Reinforcement Learning.

Boting Qu, Mengjiao Zhao, Jun Feng, Xin Wang

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2020

Profitable Taxi Travel Route Recommendation Based on Big Taxi Trajectory Data.

Boting Qu, Wenxin Yang, Ge Cui, Xin Wang

IEEE Trans. Intell. Transp. Syst., 2020