| 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 | 167 | 2021 |
| 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 | 149 | 2023 |
| 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 | 40 | 2023 |
| STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformers SOTA for Traffic Forecasting H Liu, Z Dong, R Jiang, J Deng, Q Chen, X Song Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 9 | 2023 |
| TTS-norm: Forecasting tensor time series via multi-way normalization J Deng, J Deng, D Yin, R Jiang, X Song ACM Transactions on Knowledge Discovery from Data 18 (1), 1-25, 2023 | 8 | 2023 |
| Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning J Deng, R Jiang, J Zhang, X Song arXiv preprint arXiv:2405.03255, 2024 | 7 | 2024 |
| Learning Gaussian mixture representations for tensor time series forecasting J Deng, J Deng, R Jiang, X Song arXiv preprint arXiv:2306.00390, 2023 | 4 | 2023 |
| The Impact of COVID-19 on Human Mobility: A Case Study on New York X Hao, R Jiang, J Deng, X Song 2022 IEEE International Conference on Big Data (Big Data), 4365-4374, 2022 | 3 | 2022 |
Renhe JiangThe University of TokyoEmail verificata su csis.u-tokyo.ac.jp