| Mining spatio-temporal relations via self-paced graph contrastive learning R Li, T Zhong, X Jiang, G Trajcevski, J Wu, F Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 24 | 2022 |
| Land deformation prediction via slope-aware graph neural networks F Zhou, R Li, G Trajcevski, K Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15033 …, 2021 | 11 | 2021 |
| Landslide displacement prediction via attentive graph neural network P Kuang, R Li, Y Huang, J Wu, X Luo, F Zhou Remote Sensing 14 (8), 1919, 2022 | 9 | 2022 |
| Probabilistic fine-grained urban flow inference with normalizing flows T Zhong, H Yu, R Li, X Xu, X Luo, F Zhou ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Dynamic manifold learning for land deformation forecasting F Zhou, R Li, Q Gao, G Trajcevski, K Zhang, T Zhong Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4725-4733, 2022 | 3 | 2022 |
| Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction X Xu, T Zhong, F Zhou, R Li, G Trajcevski, Q Meng IEEE Transactions on Cybernetics, 2023 | 2 | 2023 |
| A Probabilistic Framework for Land Deformation Prediction (Student Abstract) R Li, F Zhou, G Trajcevski, K Zhang, T Zhong Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13001 …, 2022 | | 2022 |
Fan Zhou (周帆)University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
