Zezhi Shao

According to our database, Zezhi Shao authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Trajectory-User Linking via Multi-Scale Graph Attention Network.

Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang

Pattern Recognit., 2025

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.

Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu

Inf. Fusion, 2025

2024

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng

IEEE Trans. Knowl. Data Eng., October, 2024

LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting.

Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu

CoRR, 2024

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

Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting.

Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Heterogeneous Graph Neural Network With Multi-View Representation Learning.

Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu

IEEE Trans. Knowl. Data Eng., November, 2023

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.

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

CoRR, 2023

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

Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu

CoRR, 2023

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

Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting.

Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen

Proc. VLDB Endow., 2022

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

Chuan Zhao, Xin Li, Zezhi Shao, Hongji Yang, Fei Wang

Connect. Sci., 2022

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

Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark.

Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2022

2020

Trajectory-User Link with Attention Recurrent Networks.

Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao

Proceedings of the 25th International Conference on Pattern Recognition, 2020