38 citations · 93 across the 11 of their papers we have counts for
11 papers
Hierarchical Locality Sensitive Hashing for Structured Data: A Survey
Wei Wu, Bin Li
Data similarity (or distance) computation is a fundamental research topic which fosters a variety of similarity-based machine learning and data mining applications. In big data ana…
Hashing-Accelerated Graph Neural Networks for Link Prediction
Wei Wu, Bin Li, Chuan Luo +1
Networks are ubiquitous in the real world. Link prediction, as one of the key problems for network-structured data, aims to predict whether there exists a link between two nodes. T…
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…
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…
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…