SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. - Zekun Qiu; Zhipu Xie; Zehua Ji; Yuhao Mao; Ke Cheng (CoRR, 2023)

A graph attention fusion network for event-driven traffic speed prediction. - Zekun Qiu; Tongyu Zhu; Yuhui Jin; Leilei Sun; Bowen Du 001 (Inf. Sci., 2023)

SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. - Zekun Qiu; Zhipu Xie; Zehua Ji; Yuhao Mao; Ke Cheng 003 (ICMLT, 2024)

Integrating query data for enhanced traffic forecasting: A Spatio-Temporal Graph Attention Convolution Network approach with delay modeling. - Zekun Qiu; Zhipu Xie; Zehua Ji; Xu Liu; Gang Wang (Knowl. Based Syst., 2024)

Dual-Stream Anomaly Detection Network for Real-World Traffic Scenarios. - Zehua Ji; Weifeng Lv; Junlin Hu 001; Yuhui Jin; Zekun Qiu; Jian Huang (IEEE Trans. Intell. Transp. Syst., 2024)

HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment. - Zekun Qiu; Zhipu Xie; Zehua Ji; Yuhao Mao; Ke Cheng 003 (Knowl. Inf. Syst., 2025)