Spatiotemporal gated graph attention network for urban traffic flow prediction based on license plate recognition data. - Jinjun Tang; Jie Zeng 002 (Comput. Aided Civ. Infrastructure Eng., 2022)

Combining knowledge graph into metro passenger flow prediction: A split-attention relational graph convolutional network. - Jie Zeng 002; Jinjun Tang (Expert Syst. Appl., 2023)

Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-Scale Prediction Framework for Lane-Level Traffic Flow Based on LPR Data. - Jie Zeng 002; Jinjun Tang (IEEE Trans. Intell. Transp. Syst., 2023)

Road network traffic flow prediction: A personalized federated learning method based on client reputation. - Guowen Dai; Jinjun Tang; Jie Zeng 002; Chen Hu; Chuyun Zhao (Comput. Electr. Eng., 2024)

Inquiring the Next Location and Travel Time: A Deep-Learning-Based Temporal Point Process for Vehicle Trajectory Prediction. - Jie Zeng 002; Chenxi Xiao; Jinjun Tang; Cheng Hu (IEEE Internet Things J., 2025)