Bayesian Federated Learning: A Survey

- Cao, Longbing, Chen, Hui, Fan, Xuhui, Gama, Joao, Ong, Yew-Soon, Kumar, Vipin

Dynamic Customer Segmentation Via Hierarchical Fragmentation-Coagulation Processes

- Luo, Ling, Li, Bin, Fan, Xuhui, Wang, Yang, Koprinska, Irena, Chen, Fang

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

- Fan, Xuhui, Bonilla, Edwin V., O'Kane, Terence J., Sisson, Scott A.

Decoupling Sparsity and Smoothness in Dirichlet Belief Networks

- Li, Yaqiong, Fan, Xuhui, Chen, Ling, Li, Bin, Sisson, Scott A.

Efficient EM-variational inference for nonparametric Hawkes process

- Zhou, Feng, Luo, Simon, Li, Zhidong, Fan, Xuhui, Wang, Yang, Sowmya, Arcot, Chen, Fang

Kernelized sparse Bayesian matrix factorization

- Li, Caoyuan, Xie, Hong-Bo, Fan, Xuhui, Xu, Richard Yi Da, Van Huffel, Sabine, Mengersen, Kerrie

Bayesian nonnegative matrix factorization with dirichlet process mixtures

- Li, Caoyuan, Xie, Hong-Bo, Mengersen, Kerrie, Fan, Xuhui, Da Xu, Richard Yi, Sisson, Scott A., Van Huffel, Sabine

Binary space partitioning forests

- Fan, Xuhui, Li, Bin, Sisson, Scott

Efficient inference for nonparametric hawkes processes using auxiliary latent variables

- Zhou, Feng, Li, Zhidong, Fan, Xuhui, Wang, Yang, Sowmya, Arcot, Chen, Fang

Fragmentation coagulation based mixed membership stochastic blockmodel

- Yu, Zheng, Fan, Xuhui, Pietrasik, Marcin, Reformat, Marek

Recurrent Dirichlet Belief Networks for interpretable dynamic relational data modelling

- Li, Yaqiong, Fan, Xuhui, Chen, Ling, Li, Bin, Yu, Zheng, Sisson, Scott A.

A refined MISD algorithm based on Gaussian process regression

- Zhou, Feng, Li, Zhidong, Fan, Xuhui, Wang, Yang, Sowmya, Arcot, Chen, Fang

Learning nonparametric relational models by conjugately incorporating node information in a network

- Fan, Xuhui, Da Xu, Richard Yi, Cao, Longbing, Song, Yin