| 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 | 87* | 2021 |
| 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 29 (8), 3586-3601, 2023 | 39 | 2023 |
| 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, ... ECML/PKDD 2021, 2021 | 23 | 2021 |
| MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks Q Cao, R Jiang, C Yang, Z Fan, X Song, R Shibasaki ECML/PKDD 2022, 2022 | 20 | 2022 |
| Large language models as urban residents: An llm agent framework for personal mobility generation J Wang, R Jiang, C Yang, Z Wu, M Onizuka, R Shibasaki, C Xiao NeurIPS 2024, 2024 | 16 | 2024 |
| Human mobility-based individual-level epidemic simulation platform Z Fan, C Yang, Z Zhang, X Song, Y Liu, R Jiang, Q Chen, R Shibasaki ACM Transactions on Spatial Algorithms and Systems (TSAS) 8 (3), 1-16, 2022 | 15 | 2022 |
| DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction Q Chen, R Jiang, C Yang, Z Cai, Z Fan, K Tsubouchi, R Shibasaki, ... SIGSPATIAL'20: Proceedings of the 28th International Conference on Advances …, 2020 | 15 | 2020 |
| Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation X Xu, T Suzumura, J Yong, M Hanai, C Yang, H Kanezashi, R Jiang, ... Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 13 | 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 | 13 | 2023 |
| 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 | 13 | 2022 |
| A survey on data-driven covid-19 and future pandemic management Y Tao, C Yang, T Wang, E Coltey, Y Jin, Y Liu, R Jiang, Z Fan, X Song, ... ACM computing surveys 55 (7), 1-36, 2022 | 12 | 2022 |
| Vaite: A visualization-assisted interactive big urban trajectory data exploration system C Yang, Y Zhang, B Tang, M Zhu 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2036-2039, 2019 | 7 | 2019 |
| Data-Driven In-Crisis Community Identification for Disaster Response and Management Y Tao, R Jiang, E Coltey, C Yang, X Song, R Shibasaki, ML Shyu, ... IEEE International Conference on Collaboration and Internet Computing, 2021 | 3 | 2021 |
| 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 | 2 | 2022 |
| MaaS system visualization C Yang, R Jiang, R Shibasaki Big Data and Mobility as a Service 9, 245-263, 2022 | 2 | 2022 |
| Taming the Long Tail in Human Mobility Prediction X Xu, R Jiang, C Yang, Z Fan, K Sezaki NeurIPS 2024, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction P Tang, C Yang*, T Xing, X Xu, R Jiang, K Sezaki ACM SIGSPATIAL 2024 (Human Mobility Prediction Challenge), 2024 | | 2024 |
| SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity C Yang, R Jiang, X Xu, C Xiao, K Sezaki Proceedings of the VLDB Endowment 18 (2), 390-398, 2024 | | 2024 |
Renhe JiangThe University of TokyoVerified email at csis.u-tokyo.ac.jp
