| Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health Z Fan, Z Yan, S Wen Sustainability 15 (18), 13493, 2023 | 130 | 2023 |
| Graph neural processes for spatio-temporal extrapolation J Hu, Y Liang, Z Fan, H Chen, Y Zheng, R Zimmermann Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 16 | 2023 |
| Decoupling long-and short-term patterns in spatiotemporal inference J Hu, Y Liang, Z Fan, L Liu, Y Yin, R Zimmermann IEEE Transactions on Neural Networks and Learning Systems, 2023 | 14 | 2023 |
| Predicting long-term skeletal motions by a spatio-temporal hierarchical recurrent network J Hu, Z Fan, J Liao, L Liu ECAI 2020, 2720-2727, 2020 | 14 | 2020 |
| Towards unifying diffusion models for probabilistic spatio-temporal graph learning J Hu, X Liu, Z Fan, Y Liang, R Zimmermann Proceedings of the 32nd ACM International Conference on Advances in …, 2024 | 7 | 2024 |
| Finger gesture recognition based on 3d-accelerometer and 3d-gyroscope W Ma, J Hu, J Liao, Z Fan, J Wu, L Liu Knowledge Science, Engineering and Management: 12th International Conference …, 2019 | 3 | 2019 |
| Prompt-Based Spatio-Temporal Graph Transfer Learning J Hu, X Liu, Z Fan, Y Yin, S Xiang, S Ramasamy, R Zimmermann Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| Enhancing skeleton-based human motion recognition with Lie algebra and memristor-augmented LSTM and CNN Z Fan, Z Yan, Y Cao, Y Yang, S Wen AIMS Mathematics 9 (7), 17901-17916, 2024 | | 2024 |