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 9 papers between 2015 and 2025.

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

Timeline

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Links

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Bibliography

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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