36 citations · 126 across the 14 of their papers we have counts for
14 papers
Intensity-free Integral-based Learning of Marked Temporal Point Processes
Sishun Liu, Ke Deng, Xiuzhen Zhang +1
In the marked temporal point processes (MTPP), a core problem is to parameterize the conditional joint PDF (probability distribution function) for inter-event time a…
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality
Kyle K. Qin, Mohammad S. Rahaman, Yongli Ren +3
Human movements in the workspace usually have non-negligible relations with air quality parameters (e.g., CO, PM2.5, and PM10). We establish a system to monitor indoor human mo…
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
Kyle K. Qin, Yongli Ren, Wei Shao +3
Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory i…
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…
Imagining Future Digital Assistants at Work: A Study of Task Management Needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11
Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…
Translating Human Mobility Forecasting through Natural Language Generation
Hao Xue, Flora D. Salim, Yongli Ren +1
Existing human mobility forecasting models follow the standard design of the time-series prediction model which takes a series of numerical values as input to generate a numerical…
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…
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
Manpreet Kaur, Flora D. Salim, Yongli Ren +3
This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the m…
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…
Analyzing Web Behavior in Indoor Retail Spaces
Yongli Ren, Martin Tomko, Flora Salim +2
We analyze 18 million rows of Wi-Fi access logs collected over a one year period from over 120,000 anonymized users at an inner-city shopping mall. The anonymized dataset gathered…