| 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 | 103 | 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 | 100 | 2019 |
| St-norm: Spatial and temporal normalization for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 87 | 2021 |
| Deepurbanmomentum: An online deep-learning system for short-term urban mobility prediction R Jiang, X Song, Z Fan, T Xia, Q Chen, S Miyazawa, R Shibasaki Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 63 | 2018 |
| A variational autoencoder based generative model of urban human mobility D Huang, X Song, Z Fan, R Jiang, R Shibasaki, Y Zhang, H Wang, Y Kato 2019 IEEE conference on multimedia information processing and retrieval …, 2019 | 58 | 2019 |
| 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 | 51 | 2023 |
| Online deep ensemble learning for predicting citywide human mobility Z Fan, X Song, T Xia, R Jiang, R Shibasaki, R Sakuramachi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 48 | 2018 |
| 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, 2021 | 47 | 2021 |
| Deep ROI-based modeling for urban human mobility prediction R Jiang, X Song, Z Fan, T Xia, Q Chen, Q Chen, R Shibasaki Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 44 | 2018 |
| STAEformer: Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting H Liu, Z Dong, R Jiang, J Deng, J Deng, Q Chen, X Song Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 27 | 2023 |
| 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 |
| 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 | 26 | 2021 |
| Decentralized attention-based personalized human mobility prediction Z Fan, X Song, R Jiang, Q Chen, R Shibasaki Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 25 | 2019 |
| EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control C Yang, Z Zhang, Z Fan, R Jiang, Q Chen, X Song, R Shibasaki IEEE Transactions on Visualization and Computer Graphics, 2022 | 24 | 2022 |
| A multi-view multi-task learning framework for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang IEEE Transactions on Knowledge and Data Engineering, 2022 | 20 | 2022 |
| 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 | 20 | 2022 |
| mdx: A cloud platform for supporting data science and cross-disciplinary research collaborations T Suzumura, A Sugiki, H Takizawa, A Imakura, H Nakamura, K Taura, ... 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022 | 19 | 2022 |
| Multimodal interaction-aware trajectory prediction in crowded space X Shi, X Shao, Z Fan, R Jiang, H Zhang, Z Guo, G Wu, W Yuan, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11982 …, 2020 | 19 | 2020 |
| MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction D Yin, R Jiang, J Deng, Y Li, Y Xie, Z Wang, Y Zhou, X Song, JS Shang GeoInformatica 27 (1), 77-105, 2023 | 18 | 2023 |
| The pulse of urban transport: Exploring the co-evolving pattern for spatio-temporal forecasting J Deng, X Chen, Z Fan, R Jiang, X Song, IW Tsang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021 | 17 | 2021 |
Xuan SongDean and Professor, School of Artificial Intelligence, Jilin University; SUSTechVerified email at jlu.edu.cn
