115 citations · 187 across the 6 of their papers we have counts for
7 papers
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…
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
Futoon M. Abushaqra, Hao Xue, Yongli Ren +1
Heterogeneity and irregularity of multi-source data sets present a significant challenge to time-series analysis. In the literature, the fusion of multi-source time-series has been…
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Hao Xue, Flora D. Salim, Yongli Ren +1
Human mobility prediction is a core functionality in many location-based services and applications. However, due to the sparsity of mobility data, it is not an easy task to predict…
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
Hao Xue, Flora D. Salim
The usage of smartphone-collected respiratory sound, trained with deep learning models, for detecting and classifying COVID-19 becomes popular recently. It removes the need for in-…
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari, Daniel V. Smith, Hao Xue +1
Change Point Detection (CPD) methods identify the times associated with changes in the trends and properties of time series data in order to describe the underlying behaviour of th…
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints
Hao Xue, Du Q. Huynh, Mark Reynolds
Pedestrian trajectory prediction is valuable for understanding human motion behaviors and it is challenging because of the social influence from other pedestrians, the scene constr…