27 citations · 31 across the 9 of their papers we have counts for
3 papers · 1 filter
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan +10
Time series forecasting at scale presents significant challenges for modern prediction systems, particularly when dealing with large sets of synchronized series, such as in a globa…
Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges
Althaf Shajihan, Kirill Mechitov, Girish Chowdhary +1
Railroad bridges are a crucial component of the U.S. freight rail system, which moves over 40 percent of the nation's freight and plays a critical role in the economy. However, agi…
Revealing the Power of Masked Autoencoders in Traffic Forecasting
Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh +2
Traffic forecasting, crucial for urban planning, requires accurate predictions of spatial-temporal traffic patterns across urban areas. Existing research mainly focuses on designin…