| Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting H Wu, J Xu, J Wang, M Long Advances in Neural Information Processing Systems (NeurIPS), 2021 | 38 | 2021 |
| MotionRNN: A flexible model for video prediction with spacetime-varying motions H Wu, Z Yao, J Wang, M Long IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 24 | 2021 |
| PredRNN: A recurrent neural network for spatiotemporal predictive learning Y Wang, H Wu, J Zhang, Z Gao, J Wang, P Yu, M Long IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 22 | 2022 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy J Xu, H Wu, J Wang, M Long International Conference on Learning Representations (ICLR Spotlight), 2021 | 8 | 2021 |
| Supported Policy Optimization for Offline Reinforcement Learning J Wu, H Wu, Z Qiu, J Wang, M Long arXiv preprint arXiv:2202.06239, 2022 | 1 | 2022 |
| Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting Y Liu, H Wu, J Wang, M Long arXiv preprint arXiv:2205.14415, 2022 | | 2022 |
| Flowformer: Linearizing Transformers with Conservation Flows H Wu, J Wu, J Xu, J Wang, M Long International Conference on Machine Learning (ICML), 2022 | | 2022 |
| ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning Z Yao, Y Wang, H Wu, J Wang, M Long arXiv preprint arXiv:2110.03882, 2021 | | 2021 |
Mingsheng LongAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
