Xiaoyong Jin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Natural Language

Domain Adaptation

Energy Efficiency

Top Venues

EACL (System Demonstrations)

Publications

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 (2023)
Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy
Cross-Frequency Time Series Meta-Forecasting. CoRR (2023)
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)
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 (2022)
Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Hao Wang, Yuyang Wang
Domain Adaptation for Time Series Forecasting via Attention Sharing. ICML (2022)
Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan
Inter-Series Attention Model for COVID-19 Forecasting. SDM (2021)
Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. EACL (System Demonstrations) (2021)
Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan
Attention-based Domain Adaptation for Time Series Forecasting. CoRR (2021)
Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. CoRR (2020)
Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan
Inter-Series Attention Model for COVID-19 Forecasting. CoRR (2020)
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)
George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath
A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. CoRR (2019)
Yunkai Zhang, Qiao Jiang, Shurui Li, Xiaoyong Jin, Xueying Ma, Xifeng Yan
You May Not Need Order in Time Series Forecasting. CoRR (2019)
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 (2019)