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Songyu Ke
Songyu Ke
在 sjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Geoman: Multi-level attention networks for geo-sensory time series prediction.
Y Liang, S Ke, J Zhang, X Yi, Y Zheng
IJCAI 2018, 3428-3434, 2018
5072018
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱
Z Pan, S Ke, X Yang, Y Liang, Y Yu, J Zhang, Y Zheng
Proceedings of the Web Conference 2021, 1846-1855, 2021
682021
Airformer: Predicting nationwide air quality in china with transformers
Y Liang, Y Xia, S Ke, Y Wang, Q Wen, J Zhang, Y Zheng, R Zimmermann
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14329 …, 2023
392023
Robust spatio-temporal purchase prediction via deep meta learning
H Qin, S Ke, X Yang, H Xu, X Zhan, Y Zheng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4312-4319, 2021
92021
Gas-theft suspect detection among boiler room users: A data-driven approach
X Yi, X Yang, Y Huang, S Ke, J Zhang, T Li, Y Zheng
IEEE Transactions on Knowledge and Data Engineering 34 (12), 5796-5808, 2021
82021
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction
S Ke, Z Pan, T He, Y Liang, J Zhang, Y Zheng
Artificial Intelligence 318, 103899, 2023
72023
Spatio-temporal contrastive self-supervised learning for poi-level crowd flow inference
S Ke, T Li, L Song, Y Sun, Q Sun, J Zhang, Y Zheng
arXiv preprint arXiv:2309.03239, 2023
12023
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting
L Song, K Bao, S Ke, C Li, J Zhang, Y Zheng
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022
2022
MetaFS: An Effective Wrapper Feature Selection via Meta Learning
Z Pan, C Li, S Ke, H Xu, J Zhang, Y Yuan, Y Zheng
2022
EAST: An Enhanced Automated Machine Learning Library for Spatio-Temporal Forecasting
S Ke, L Song, K Bao, Z Pan, J Zhang, Y Zheng
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