15 citations · 17 across the 2 of their papers we have counts for
4 papers
Inter-Series Attention Model for COVID-19 Forecasting
Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan
COVID-19 pandemic has an unprecedented impact all over the world since early 2020. During this public health crisis, reliable forecasting of the disease becomes critical for resour…
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin +1
Computation-intensive pretrained models have been taking the lead of many natural language processing benchmarks such as GLUE. However, energy efficiency in the process of model tr…
You May Not Need Order in Time Series Forecasting
Yunkai Zhang, Qiao Jiang, Shurui Li +3
Time series forecasting with limited data is a challenging yet critical task. While transformers have achieved outstanding performances in time series forecasting, they often requi…
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan +4
Time series forecasting is an important problem across many domains, including predictions of solar plant energy output, electricity consumption, and traffic jam situation. In this…