Hintnet: Hierarchical knowledge transfer networks for traffic accident forecasting on heterogeneous spatio-temporal data B An, A Vahedian, X Zhou, WN Street, Y Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 14 | 2022 |
Referee-Meta-Learning for Fast Adaptation of Locational Fairness W Chen, Y Xie, X Jia, E He, H Bao, B An, X Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 21949 …, 2024 | 2 | 2024 |
SpatialRank: urban event ranking with NDCG optimization on spatiotemporal data B An, X Zhou, Y Zhong, T Yang Advances in Neural Information Processing Systems 36, 9919-9930, 2023 | 1 | 2023 |
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping B An, X Zhou, Z Zhou, R Ragodos, Z Xu, J Luo In Proc. 39th Association for the Advancement of Artificial Intelligence …, 2024 | | 2024 |
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data B An, X Zhou, A Vahedian, N Street, J Guan, J Luo In Proc. 24th International Conference on Data Mining (ICDM) 2024, 2024 | | 2024 |