| Dl-traff: Survey and benchmark of deep learning models for urban traffic prediction R Jiang, D Yin, Z Wang, Y Wang, J Deng, H Liu, Z Cai, J Deng, X Song, ... Proceedings of the 30th ACM international conference on information …, 2021 | 105 | 2021 |
| Deepurbanevent: A system for predicting citywide crowd dynamics at big events R Jiang, X Song, D Huang, X Song, T Xia, Z Cai, Z Wang, KS Kim, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 103 | 2019 |
| DeepCrowd: A deep model for large-scale citywide crowd density and flow prediction R Jiang, Z Cai, Z Wang, C Yang, Z Fan, Q Chen, K Tsubouchi, X Song, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 276-290, 2021 | 58* | 2021 |
| Spatio-temporal meta-graph learning for traffic forecasting R Jiang, Z Wang, J Yong, P Jeph, Q Chen, Y Kobayashi, X Song, ... Proceedings of the AAAI conference on artificial intelligence 37 (7), 8078-8086, 2023 | 53 | 2023 |
| Transfer urban human mobility via poi embedding over multiple cities R Jiang, X Song, Z Fan, T Xia, Z Wang, Q Chen, Z Cai, R Shibasaki ACM Transactions on Data Science 2 (1), 1-26, 2021 | 27 | 2021 |
| Forecasting ambulance demand with profiled human mobility via heterogeneous multi-graph neural networks Z Wang, T Xia, R Jiang, X Liu, KS Kim, X Song, R Shibasaki 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1751-1762, 2021 | 26 | 2021 |
| Event-aware multimodal mobility nowcasting Z Wang, R Jiang, H Xue, FD Salim, X Song, R Shibasaki Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4228-4236, 2022 | 21 | 2022 |
| Spatio-temporal-categorical graph neural networks for fine-grained multi-incident co-prediction Z Wang, R Jiang, Z Cai, Z Fan, X Liu, KS Kim, X Song, R Shibasaki Proceedings of the 30th ACM international conference on information …, 2021 | 15 | 2021 |
| Countrywide origin-destination matrix prediction and its application for covid-19 R Jiang, Z Wang, Z Cai, C Yang, Z Fan, T Xia, G Matsubara, H Mizuseki, ... Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 15 | 2021 |
| Predicting citywide crowd dynamics at big events: A deep learning system R Jiang, Z Cai, Z Wang, C Yang, Z Fan, Q Chen, X Song, R Shibasaki ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-24, 2022 | 8 | 2022 |
| Geo-Foundation Models: Reality, Gaps and Opportunities Y Xie, Z Wang, G Mai, Y Li, X Jia, S Gao, S Wang Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 4 | 2023 |
| Learning social meta-knowledge for nowcasting human mobility in disaster R Jiang, Z Wang, Y Tao, C Yang, X Song, R Shibasaki, SC Chen, ... Proceedings of the ACM Web Conference 2023, 2655-2665, 2023 | 4 | 2023 |
| CoolPath: an application for recommending pedestrian routes with reduced heatstroke risk T Xia, A Jatowt, Z Wang, R Si, H Zhang, X Liu, R Shibasaki, X Song, K Kim Web and Wireless Geographical Information Systems: 18th International …, 2020 | 3 | 2020 |
| MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation Z Cai, R Jiang, X Yang, Z Wang, D Guo, H Kobayashi, X Song, ... Proceedings of the 32nd ACM international conference on information …, 2023 | 2 | 2023 |
| Towards an event-aware urban mobility prediction system Z Wang, R Jiang, Z Fan, X Song, R Shibasaki Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 2 | 2023 |
| The Chang E-3 landing and working area selecting: Based on the lunar digital terrain model Z Wang, X Huang, H Zhou, Y Ma, Y Xiao 2013 21st International Conference on Geoinformatics, 1-5, 2013 | 2 | 2013 |
| Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka R Jiang, Z Cai, Z Wang, C Yang, Z Fan, Q Chen, K Tsubouchi, X Song, ... 2022 IEEE International Conference on Big Data (Big Data), 6676-6677, 2022 | 1 | 2022 |
| Geospatial Knowledge Hypercube Z Wang, B Jin, W Hu, M Jiang, S Kang, Z Li, S Zhou, J Han, S Wang Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
| Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates J Shi, V Stebliankin, Z Wang, S Wang, G Narasimhan arXiv preprint arXiv:2310.07631, 2023 | | 2023 |
| Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks Z Cai, R Jiang, X Lian, C Yang, Z Wang, Z Fan, K Tsubouchi, ... IEEE Transactions on Mobile Computing, 2023 | | 2023 |
Xuan SongDean and Professor, School of Artificial Intelligence, Jilin University; SUSTechVerified email at jlu.edu.cn
