Xuhui Fan | DeepAI

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Yang Wang
233 publications
Jian Zhang
226 publications
Bin Li
210 publications
Yi Wang
157 publications
Feng Zhou
70 publications
Yew Soon Ong
66 publications
Hui Chen
61 publications
Longbing Cao
46 publications
Ling Chen
43 publications
Fang Chen
35 publications
Vipin Kumar
33 publications

∙ 04/26/2023

Bayesian Federated Learning: A Survey

Federated learning (FL) demonstrates its advantages in integrating distr...

0 Longbing Cao, et al. ∙

∙ 02/20/2023

Free-Form Variational Inference for Gaussian Process State-Space Models

Gaussian process state-space models (GPSSMs) provide a principled and fl...

0 Xuhui Fan, et al. ∙

∙ 02/29/2020

Online Binary Space Partitioning Forests

The Binary Space Partitioning-Tree (BSP-Tree) process was recently propo...

0 Xuhui Fan, et al. ∙

∙ 02/26/2020

Bayesian Nonparametric Space Partitions: A Survey

Bayesian nonparametric space partition (BNSP) models provide a variety o...

0 Xuhui Fan, et al. ∙

∙ 02/26/2020

Supervised Categorical Metric Learning with Schatten p-Norms

Metric learning has been successful in learning new metrics adapted to n...

0 Xuhui Fan, et al. ∙

∙ 02/25/2020

Smoothing Graphons for Modelling Exchangeable Relational Data

Modelling exchangeable relational data can be described by graphon theor...

0 Xuhui Fan, et al. ∙

∙ 02/24/2020

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling

The Dirichlet Belief Network (DirBN) has been recently proposed as a pro...

0 Yaqiong Li, et al. ∙

∙ 11/04/2019

Scalable Deep Generative Relational Models with High-Order Node Dependence

We propose a probabilistic framework for modelling and exploring the lat...

14 Xuhui Fan, et al. ∙

∙ 10/29/2019

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation

In this paper, we consider the sigmoid Gaussian Hawkes process model: th...

0 Feng Zhou, et al. ∙

∙ 06/06/2019

Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants

The stationarity is assumed in vanilla Hawkes process, which reduces the...

0 Feng Zhou, et al. ∙

∙ 03/22/2019

Binary Space Partitioning Forests

The Binary Space Partitioning (BSP)-Tree process is proposed to produce ...

0 Xuhui Fan, et al. ∙

∙ 03/22/2019

The Binary Space Partitioning-Tree Process

The Mondrian process represents an elegant and powerful approach for spa...

0 Xuhui Fan, et al. ∙

∙ 03/10/2019

Rectangular Bounding Process

Stochastic partition models divide a multi-dimensional space into a numb...

0 Xuhui Fan, et al. ∙

∙ 05/23/2016

Stochastic Patching Process

Stochastic partition models tailor a product space into a number of rect...

0 Xuhui Fan, et al. ∙

∙ 10/06/2013

Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network

Effectively modelling hidden structures in a network is very practical b...

0 Xuhui Fan, et al. ∙

∙ 06/13/2013

Non-parametric Power-law Data Clustering

It has always been a great challenge for clustering algorithms to automa...

0 Xuhui Fan, et al. ∙

∙ 06/13/2013

A Convergence Theorem for the Graph Shift-type Algorithms

Graph Shift (GS) algorithms are recently focused as a promising approach...

0 Xuhui Fan, et al. ∙

∙ 06/13/2013

Dynamic Infinite Mixed-Membership Stochastic Blockmodel

Directional and pairwise measurements are often used to model inter-rela...

0 Xuhui Fan, et al. ∙

∙ 06/12/2013

Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations

The Mixed-Membership Stochastic Blockmodel (MMSB) is a popular framework...

0 Xuhui Fan, et al. ∙

∙ 05/24/2013

Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models

This paper proposes a generative model, the latent Dirichlet hidden Mark...

0 Yin Song, et al. ∙

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