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2020 – today
- 2023
[c5]Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang:
PreDiff: Precipitation Nowcasting with Latent Diffusion Models. NeurIPS 2023- [i9]Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy:
Cross-Frequency Time Series Meta-Forecasting. CoRR abs/2302.02077 (2023) - [i8]Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang:
PreDiff: Precipitation Nowcasting with Latent Diffusion Models. CoRR abs/2307.10422 (2023) - 2022
- [b1]Xiaoyong Jin:
Modern Machine Learning in Time Series Forecasting. University of California, Santa Barbara, USA, 2022 - [c4]Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Hao Wang, Yuyang Wang:
Domain Adaptation for Time Series Forecasting via Attention Sharing. ICML 2022: 10280-10297 - [i7]Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang:
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting. CoRR abs/2212.08151 (2022) - 2021
- [c3]Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. EACL (System Demonstrations) 2021: 329-336 - [c2]Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan:
Inter-Series Attention Model for COVID-19 Forecasting. SDM 2021: 495-503 - [i6]Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan:
Attention-based Domain Adaptation for Time Series Forecasting. CoRR abs/2102.06828 (2021) - 2020
- [i5]Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. CoRR abs/2002.05829 (2020) - [i4]Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan:
Inter-Series Attention Model for COVID-19 Forecasting. CoRR abs/2010.13006 (2020)
2010 – 2019
- 2019
- [c1]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. NeurIPS 2019: 5244-5254 - [i3]George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin
, François Tessier, Venkatram Vishwanath:
A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. CoRR abs/1904.11812 (2019) - [i2]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. CoRR abs/1907.00235 (2019) - [i1]Yunkai Zhang, Qiao Jiang, Shurui Li, Xiaoyong Jin, Xueying Ma, Xifeng Yan:
You May Not Need Order in Time Series Forecasting. CoRR abs/1910.09620 (2019)
Coauthor Index
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