131 citations · 448 across the 23 of their papers we have counts for
4 papers · 1 filter
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series
Futoon M. Abushaqra, Hao Xue, Yongli Ren +1
Ordinary Differential Equations (ODE) based models have become popular as foundation models for solving many time series problems. Combining neural ODEs with traditional RNN models…
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
This paper presents a new perspective on time series forecasting. In existing time series forecasting methods, the models take a sequence of numerical values as input and yield num…
Leveraging Language Foundation Models for Human Mobility Forecasting
Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim
In this paper, we propose a novel pipeline that leverages language foundation models for temporal sequential pattern mining, such as for human mobility forecasting tasks. For examp…
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari, Hao Xue, Aaqib Saeed +3
Recently, Self-Supervised Representation Learning (SSRL) has attracted much attention in the field of computer vision, speech, natural language processing (NLP), and recently, with…