Zezhi Shao

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting

Christian S. Jensen, Wei Wei, Yongjun Xu, 2022, Proc. VLDB Endow..

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

Yongjun Xu, Zezhi Shao, Zhao Zhang, 2022, KDD.

Trajectory-User Link with Attention Recurrent Networks

Yongjun Xu, Tangwen Qian, Tao Sun, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction

Zezhi Shao, Fei Wang, Xin Li, 2022, Connection science.

Heterogeneous Graph Neural Network With Multi-View Representation Learning

Feida Zhu, Yongjun Xu, Wei Wei, 2021, IEEE Transactions on Knowledge and Data Engineering.

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting

Wei Wei, Yongjun Xu, Zezhi Shao, 2022, CIKM.

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

Chengqing Yu, Tao Sun, Yongjun Xu, 2023, CIKM.

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting

G. Jin, Yuchen Fang, Yongjun Xu, 2023, ArXiv.

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Yongjun Xu, Tangwen Qian, Zezhi Shao, 2024, ArXiv.