Haonan Huang

Orcid: 0009-0007-6455-4343

According to our database1, Haonan Huang authored at least 15 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Generalized latent multi-view clustering with tensorized bipartite graph.
Neural Networks, 2024

2023
Exclusivity and consistency induced NMF for multi-view representation learning.
Knowl. Based Syst., December, 2023

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation.
IEEE CAA J. Autom. Sinica, November, 2023

GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network.
IEEE J. Biomed. Health Informatics, March, 2023

Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion.
Int. J. Intell. Syst., 2023

Application of BP Neural Network Based on Genetic Algorithm Optimization for Prediction of Vegetable Sales Datasets.
Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture, 2023

Resource Allocation based on Computing Modeling in Computing Power Network.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022
A semi-supervised label-driven auto-weighted strategy for multi-view data classification.
Knowl. Based Syst., 2022

A Converged Deep Graph Semi-NMF Algorithm for Learning Data Representation.
Circuits Syst. Signal Process., 2022

Computing Power Network: A Survey.
CoRR, 2022

Multi-view Data Classification with a Label-driven Auto-weighted Strategy.
CoRR, 2022

Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.
CoRR, 2020

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020


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