| Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting S Li, X Jin, Y Xuan, X Zhou, W Chen, YX Wang, X Yan Advances in neural information processing systems 32, 2019 | 1322 | 2019 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 168 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
| Domain adaptation for time series forecasting via attention sharing X Jin, Y Park, D Maddix, H Wang, Y Wang International Conference on Machine Learning, 10280-10297, 2022 | 57 | 2022 |
| Inter-series attention model for COVID-19 forecasting X Jin, YX Wang, X Yan Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 45 | 2021 |
| HULK: An energy efficiency benchmark platform for responsible natural language processing X Zhou, Z Chen, X Jin, WY Wang arXiv preprint arXiv:2002.05829, 2020 | 39 | 2020 |
| First de-trend then attend: Rethinking attention for time-series forecasting X Zhang, X Jin, K Gopalswamy, G Gupta, Y Park, X Shi, H Wang, ... arXiv preprint arXiv:2212.08151, 2022 | 17 | 2022 |
| Prediff: Precipitation nowcasting with latent diffusion models Z Gao, X Shi, B Han, H Wang, X Jin, D Maddix, Y Zhu, M Li, YB Wang Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| You may not need order in time series forecasting Y Zhang, Q Jiang, S Li, X Jin, X Ma, X Yan arXiv preprint arXiv:1910.09620, 2019 | 5 | 2019 |
| Multi-step deep autoregressive forecasting with latent states X Jin, S Li, Y Zhang, X Yan URL http://roseyu. com/time-series-workshop/submissions/2019/timeseries …, 2019 | 4 | 2019 |
| Modern machine learning in time series forecasting X Jin University of California, Santa Barbara, 2022 | 1 | 2022 |
| Cross-Frequency Time Series Meta-Forecasting M Van Ness, H Shen, H Wang, X Jin, DC Maddix, K Gopalswamy arXiv preprint arXiv:2302.02077, 2023 | | 2023 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint) EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... | | 2021 |
| Inter-Series Attention Model for COVID-19 Forecasting (preprint) X Jin, YX Wang, X Yan | | 2020 |
