Zezhi Shao

Publication Activity (10 Years)

Years Active: 2020-2025
Publications (10 Years): 21

Top Topics

Multivariate Time Series

Supervised Clustering

Top Venues

Proc. VLDB Endow.

Publications

Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion 113 (2025)
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD (2024)
Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. ICASSP (2024)
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR (2024)
Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. CIKM (2023)
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CIKM (2023)
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR (2023)
Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. CoRR (2023)
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CoRR (2023)
Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR (2023)
Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench (2022)
Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. 15 (11) (2022)
Chuan Zhao, Xin Li, Zezhi Shao, Hongji Yang, Fei Wang
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction. Connect. Sci. 34 (1) (2022)
Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. KDD (2022)
Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. CoRR (2022)
Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CIKM (2022)
Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CoRR (2022)
Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR (2022)
Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR (2021)
Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao
Trajectory-User Link with Attention Recurrent Networks. ICPR (2020)