| Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting Y Zhang, J Yan [Oral] International Conference on Learning Representations (ICLR), 2023, 2023 | 520 | 2023 |
| Synergetic learning of heterogeneous temporal sequences for multi-horizon probabilistic forecasting L Li, J Zhang, J Yan, Y Jin, Y Zhang, Y Duan, G Tian AAAI Conference on Artificial Intelligence (AAAI), 2021, 2021 | 17 | 2021 |
| Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. Y Zhang, J Yan International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2021 | 16 | 2021 |
| LinSATNet: the positive linear satisfiability neural networks R Wang, Y Zhang, Z Guo, T Chen, X Yang, J Yan International Conference on Machine Learning (ICML), 2023, 2023 | 13 | 2023 |
| Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering Y Zhang, J Yan, X Zhang, J Zhou, X Yang International Joint Conference on Artificial Intelligence (IJCAI), 2022, 2022 | 12* | 2022 |
| Learning generative RNN-ODE for collaborative time-series and event sequence forecasting L Li, J Yan, Y Zhang, J Zhang, J Bao, Y Jin, X Yang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 5 | 2022 |
| UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis Y Zhang, M Liu, S Zhou, J Yan International Conference on Machine Learning (ICML), 2024, 2024 | 2* | 2024 |
Junchi YanIAPR/IET Fellow, SJTU (2018-), IBM (2011-2018)Verified email at cs.sjtu.edu.cn