Obserwuj
Xiaoyong Jin
Xiaoyong Jin
Zweryfikowany adres z cs.ucsb.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
12552019
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
1582022
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
902021
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
542022
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
442021
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
382020
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
162022
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
82024
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
52019
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
42019
Modern machine learning in time series forecasting
X Jin
University of California, Santa Barbara, 2022
12022
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
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