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| 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 | 112 | 2023 |
| 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 | 91 | 2021 |
| 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 | 16 | 2021 |
| 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 | 12 | 2023 |
| 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 | 9 | 2021 |
| 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 | 2 | 2023 |
| VQGG: Generating Adaptive Graphs for Traffic Forecasting via a Vector-Quantized Graph Generator S Ke, C Wu, J Guo, J Zhang, Y Zheng 2024 International Joint Conference on Neural Networks (IJCNN) (IJCNN 2024), 2024 | 1 | 2024 |
| GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference S Ke, Y Liang, X Yi, J Zhang, Y Zheng 2024 International Joint Conference on Neural Networks (IJCNN) (IJCNN 2024), 2024 | | 2024 |
| 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 | | |
| EAST: An Enhanced Automated Machine Learning Library for Spatio-Temporal Forecasting S Ke, L Song, K Bao, Z Pan, J Zhang, Y Zheng | | |
Junbo Zhang（张钧波）JD Intelligent Cities Research | JD TechnologyAdresă de e-mail confirmată pe jd.com