An MCMC Based EM Algorithm for Mixtures of Gaussian Processes. - Di Wu 027; Ziyi Chen 002; Jinwen Ma (ISNN, 2015)

A DAEM Algorithm for Mixtures of Gaussian Process Functional Regressions. - Di Wu 027; Jinwen Ma (ICIC (3), 2016)

A Two-Layer Mixture Model of Gaussian Process Functional Regressions and Its MCMC EM Algorithm. - Di Wu 027; Jinwen Ma (IEEE Trans. Neural Networks Learn. Syst., 2018)

An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation. - Di Wu 027; Jinwen Ma (Neurocomputing, 2019)

Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation. - Tao Li 040; Di Wu 027; Jinwen Ma (Neurocomputing, 2021)

Regularized Framework on Heterogeneous Hypergraph Model for Personal Recommendation. - Tingting Zhu 005; Jianrui Chen; Zhihui Wang 002; Di Wu 027 (NCTCS, 2022)

An efficient EM algorithm for two-layer mixture model of gaussian process functional regressions. - Di Wu 027; Yurong Xie; Zhe Qiang (Pattern Recognit., 2023)

A unifying view for the mixture model of sparse Gaussian processes. - Yurong Xie; Di Wu 027; Zhe Qiang (Inf. Sci., 2024)

Split-and-merge model selection of mixtures of Gaussian processes with RJMCMC. - Zhe Qiang; Jinwen Ma; Di Wu 027 (Pattern Recognit., 2025)

An effective expectation-maximization algorithm for two-layer mixture model of Gaussian process functional regressions via variational inference. - Yurong Xie; Di Wu 027; Zhe Qiang (Expert Syst. Appl., 2026)