Nan Zhang

Orcid: 0000-0001-9620-5665

Affiliations:
  • East China Normal University, School of Computer Science and Technology, Shanghai, China
  • China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, Chian (PhD 2019)
  • Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China (former)


According to our database1, Nan Zhang authored at least 23 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023
Knowledge graph relation reasoning with variational reinforcement network.
Inf. Fusion, December, 2023

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

2022
Multiview Graph Restricted Boltzmann Machines.
IEEE Trans. Cybern., 2022

Incomplete multiview nonnegative representation learning with multiple graphs.
Pattern Recognit., 2022

2020
Robust spike-and-slab deep Boltzmann machines for face denoising.
Neural Comput. Appl., 2020

Multi-view RBM with posterior consistency and domain adaptation.
Inf. Sci., 2020

Adversarial Training Methods for Boltzmann Machines.
IEEE Access, 2020

2019
Multimodal correlation deep belief networks for multi-view classification.
Appl. Intell., 2019

2018
Research of stacked denoising sparse autoencoder.
Neural Comput. Appl., 2018

An overview on Restricted Boltzmann Machines.
Neurocomputing, 2018

An overview on probability undirected graphs and their applications in image processing.
Neurocomputing, 2018

Multi-view Restricted Boltzmann Machines with Posterior Consistency.
Proceedings of the Intelligent Information Processing IX, 2018

2017
Twin support vector machine: theory, algorithm and applications.
Neural Comput. Appl., 2017

Unsupervised extreme learning machine with representational features.
Int. J. Mach. Learn. Cybern., 2017

Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data.
Memetic Comput., 2017

Research on Point-wise Gated Deep Networks.
Appl. Soft Comput., 2017

2016
Incremental extreme learning machine based on deep feature embedded.
Int. J. Mach. Learn. Cybern., 2016

Denoising Laplacian multi-layer extreme learning machine.
Neurocomputing, 2016

Weight Uncertainty in Boltzmann Machine.
Cogn. Comput., 2016

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering.
Cogn. Comput., 2016

Multi layer ELM-RBF for multi-label learning.
Appl. Soft Comput., 2016

Boltzmann Machine and its Applications in Image Recognition.
Proceedings of the Intelligent Information Processing VIII, 2016


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