36 citations · 82 across the 5 of their papers we have counts for
6 papers
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…
Seating preference analysis for hybrid workplaces
Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling +2
Due to the increasing nature of flexible work and the recent requirements from COVID-19 restrictions, workplaces are becoming more hybrid (i.e. allowing workers to work between tra…
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Kyle K. Qin, Flora D. Salim, Yongli Ren +3
Network alignment is useful for multiple applications that require increasingly large graphs to be processed. Existing research approaches this as an optimization problem or comput…
An Ambient-Physical System to Infer Concentration in Open-plan Workplace
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren +4
One of the core challenges in open-plan workspaces is to ensure a good level of concentration for the workers while performing their tasks. Hence, being able to infer concentration…
Relation Embedding for Personalised POI Recommendation
Xianjing Wang, Flora D. Salim, Yongli Ren +1
Point-of-Interest (POI) recommendation is one of the most important location-based services helping people discover interesting venues or services. However, the extreme user-POI ma…