Obserwuj
Zezhi Shao
Tytuł
Cytowane przez
Cytowane przez
Rok
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering 36 (10), 5388-5408, 2023
2472023
Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting
Z Shao, Z Zhang, F Wang, Y Xu
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
2472022
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting
Z Shao, Z Zhang, W Wei, F Wang, Y Xu, X Cao, CS Jensen
arXiv preprint arXiv:2206.09112, 2022
2422022
Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting
Z Shao, Z Zhang, F Wang, W Wei, Y Xu
Proceedings of the 31st ACM international conference on information …, 2022
2372022
Artificial intelligence for geoscience: Progress, challenges and perspectives
T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang, L Yu, F Wang, Y Xie, ...
The Innovation, 2024
1442024
Dsformer: A double sampling transformer for multivariate time series long-term prediction
C Yu, F Wang, Z Shao, T Sun, L Wu, Y Xu
Proceedings of the 32nd ACM international conference on information and …, 2023
672023
Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis
Z Shao, F Wang, Y Xu, W Wei, C Yu, Z Zhang, D Yao, T Sun, G Jin, X Cao, ...
IEEE Transactions on Knowledge and Data Engineering, 2024
632024
Heterogeneous graph neural network with multi-view representation learning
Z Shao, Y Xu, W Wei, F Wang, Z Zhang, F Zhu
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11476-11488, 2022
272022
Ginar: An end-to-end multivariate time series forecasting model suitable for variable missing
C Yu, F Wang, Z Shao, T Qian, Z Zhang, W Wei, Y Xu
Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024
192024
Basicts: An open source fair multivariate time series prediction benchmark
Y Liang, Z Shao, F Wang, Z Zhang, T Sun, Y Xu
International symposium on benchmarking, measuring and optimization, 87-101, 2022
152022
Trajectory-user link with attention recurrent networks
T Sun, Y Xu, F Wang, L Wu, T Qian, Z Shao
2020 25th International Conference on Pattern Recognition (ICPR), 4589-4596, 2021
152021
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction
C Zhao, X Li, Z Shao, HJ Yang, F Wang
Connection Science 34 (1), 1252-1272, 2022
112022
MGSFformer: A multi-granularity spatiotemporal fusion transformer for air quality prediction
C Yu, F Wang, Y Wang, Z Shao, T Sun, D Yao, Y Xu
Information Fusion 113, 102607, 2025
92025
Dynamic frequency domain graph convolutional network for traffic forecasting
Y Li, Z Shao, Y Xu, Q Qiu, Z Cao, F Wang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
72024
Clustering-property matters: a cluster-aware network for large scale multivariate time series forecasting
Y Wang, Z Shao, T Sun, C Yu, Y Xu, F Wang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
52023
Hutformer: Hierarchical u-net transformer for long-term traffic forecasting
Z Shao, F Wang, Z Zhang, Y Fang, G Jin, Y Xu
arXiv preprint arXiv:2307.14596, 2023
52023
Efficient large-scale traffic forecasting with transformers: A spatial data management perspective
Y Fang, Y Liang, B Hui, Z Shao, L Deng, X Liu, X Jiang, K Zheng
arXiv preprint arXiv:2412.09972, 2024
22024
Spatial-temporal large models: A super hub linking multiple scientific areas with artificial intelligence
Z Shao, T Qian, T Sun, F Wang, Y Xu
The Innovation 6 (2), 2025
2025
Trajectory-User Linking via Multi-Scale Graph Attention Network
Y Li, T Sun, Z Shao, Y Zhen, Y Xu, F Wang
Pattern Recognition 158, 110978, 2025
2025
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting
Y Fu, F Wang, Z Shao, C Yu, Y Li, Z Chen, Z An, Y Xu
arXiv preprint arXiv:2408.09695, 2024
2024
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