Di Wu

Orcid: 0000-0002-4044-3530

Affiliations:
  • Shaanxi Normal University, Xi'an, China
  • Key Laboratory of Intelligent Computing and Service Technology for Folk Song, Ministry of Culture and Tourism, Xian, China
  • Peking University, Department of Information Science, School of Mathematical Sciences and LMAM, Beijing, China


According to our database1, Di Wu authored at least 10 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
An effective expectation-maximization algorithm for two-layer mixture model of Gaussian process functional regressions via variational inference.
Expert Syst. Appl., 2026

2025
Split-and-merge model selection of mixtures of Gaussian processes with RJMCMC.
Pattern Recognit., 2025

2024
A unifying view for the mixture model of sparse Gaussian processes.
Inf. Sci., March, 2024

2023
An efficient EM algorithm for two-layer mixture model of gaussian process functional regressions.
Pattern Recognit., November, 2023

2022
Regularized Framework on Heterogeneous Hypergraph Model for Personal Recommendation.
Proceedings of the Theoretical Computer Science - 40th National Conference, 2022

2021
Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation.
Neurocomputing, 2021

2019
An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation.
Neurocomputing, 2019

2018
A Two-Layer Mixture Model of Gaussian Process Functional Regressions and Its MCMC EM Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2018

2016
A DAEM Algorithm for Mixtures of Gaussian Process Functional Regressions.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015
An MCMC Based EM Algorithm for Mixtures of Gaussian Processes.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015


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