21 citations · 48 across the 10 of their papers we have counts for
11 papers
Online Binary Space Partitioning Forests
Xuhui Fan, Bin Li, Scott A. Sisson
The Binary Space Partitioning-Tree~(BSP-Tree) process was recently proposed as an efficient strategy for space partitioning tasks. Because it uses more than one dimension to partit…
Supervised Categorical Metric Learning with Schatten p-Norms
Xuhui Fan, Eric Gaussier
Metric learning has been successful in learning new metrics adapted to numerical datasets. However, its development on categorical data still needs further exploration. In this pap…
Smoothing Graphons for Modelling Exchangeable Relational Data
Xuhui Fan, Yaqiong Li, Ling Chen +2
Modelling exchangeable relational data can be described by \textit{graphon theory}. Most Bayesian methods for modelling exchangeable relational data can be attributed to this frame…
Bayesian Nonparametric Space Partitions: A Survey
Xuhui Fan, Bin Li, Ling Luo +1
Bayesian nonparametric space partition (BNSP) models provide a variety of strategies for partitioning a -dimensional space into a set of blocks. In this way, the data points lie…
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
Zheng Yu, Xuhui Fan, Marcin Pietrasik +1
The Mixed-Membership Stochastic Blockmodel~(MMSB) is proposed as one of the state-of-the-art Bayesian relational methods suitable for learning the complex hidden structure underlyi…
Scalable Deep Generative Relational Models with High-Order Node Dependence
Xuhui Fan, Bin Li, Scott Anthony Sisson +2
We propose a probabilistic framework for modelling and exploring the latent structure of relational data. Given feature information for the nodes in a network, the scalable deep ge…