Xiaoyong Jin

According to our database, Xiaoyong Jin authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cross-Frequency Time Series Meta-Forecasting.

Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy

CoRR, 2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models.

Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Modern Machine Learning in Time Series Forecasting.

Xiaoyong Jin

PhD thesis, 2022

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting.

Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang

CoRR, 2022

Domain Adaptation for Time Series Forecasting via Attention Sharing.

Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Hao Wang, Yuyang Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Attention-based Domain Adaptation for Time Series Forecasting.

Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan

CoRR, 2021

Inter-Series Attention Model for COVID-19 Forecasting.

Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing.

Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2019

You May Not Need Order in Time Series Forecasting.

Yunkai Zhang, Qiao Jiang, Shurui Li, Xiaoyong Jin, Xueying Ma, Xifeng Yan

CoRR, 2019

A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers.

George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath

CoRR, 2019

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting.

Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019