activity
20162021
most citedSTP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation

120 citations · 120 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Origin-Aware Next Destination Recommendation with Personalized Preference Attention

Nicholas Lim, Bryan Hooi, See-Kiong Ng +4

Next destination recommendation is an important task in the transportation domain of taxi and ride-hailing services, where users are recommended with personalized destinations give…

stat.ME2020

Detecting conflicting summary statistics in likelihood-free inference

Yinan Mao, Xueou Wang, David J. Nott +1

Bayesian likelihood-free methods implement Bayesian inference using simulation of data from the model to substitute for intractable likelihood evaluations. Most likelihood-free inf…

cs.IR2020★ 120 cited

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation

Nicholas Lim, Bryan Hooi, See-Kiong Ng +4

Next Point-of-Interest (POI) recommendation is a longstanding problem across the domains of Location-Based Social Networks (LBSN) and transportation. Recent Recurrent Neural Networ…

stat.ME2016

Checking for prior-data conflict using prior to posterior divergences

David J. Nott, Xueou Wang, Michael Evans +1

When using complex Bayesian models to combine information, the checking for consistency of the information being combined is good statistical practice. Here a new method is develop…

stat.AP2016

Using history matching for prior choice

Xueou Wang, David J. Nott, C. C. Drovandi +2

It can be important in Bayesian analyses of complex models to construct informative prior distributions which reflect knowledge external to the data at hand. Nevertheless, how much…