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 003; Xifeng Yan (NeurIPS, 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)

You May Not Need Order in Time Series Forecasting. - Yunkai Zhang 002; Qiao Jiang; Shurui Li; Xiaoyong Jin; Xueying Ma; Xifeng Yan (CoRR, 2019)

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. - Xiyou Zhou; Zhiyu Chen 002; Xiaoyong Jin; William Yang Wang (EACL (System Demonstrations), 2021)

Inter-Series Attention Model for COVID-19 Forecasting. - Xiaoyong Jin; Yu-Xiang Wang 003; Xifeng Yan (SDM, 2021)

Attention-based Domain Adaptation for Time Series Forecasting. - Xiaoyong Jin; Youngsuk Park; Danielle C. Maddix; Yuyang Wang 001; Xifeng Yan (CoRR, 2021)

Domain Adaptation for Time Series Forecasting via Attention Sharing. - Xiaoyong Jin; Youngsuk Park; Danielle C. Maddix; Hao Wang 014; Yuyang Wang 001 (ICML, 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 014; Danielle C. Maddix; Yuyang Wang 001 (CoRR, 2022)

Modern Machine Learning in Time Series Forecasting. - Xiaoyong Jin (2022)

PreDiff: Precipitation Nowcasting with Latent Diffusion Models. - Zhihan Gao 001; Xingjian Shi; Boran Han; Hao Wang 014; Xiaoyong Jin; Danielle C. Maddix; Yi Zhu 001; Mu Li 003; Yuyang Wang 001 (NeurIPS, 2023)

Cross-Frequency Time Series Meta-Forecasting. - Mike Van Ness; Huibin Shen; Hao Wang 014; Xiaoyong Jin; Danielle C. Maddix; Karthick Gopalswamy (CoRR, 2023)