Wenzhang Zhuge

Affiliations:
  • National University of Defense Technology, Changsha, Hunan, China


According to our database1, Wenzhang Zhuge authored at least 20 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

On csauthors.net:

Bibliography

2024
Absent Multiview Semisupervised Classification.
IEEE Trans. Cybern., March, 2024

2023
Active label distribution learning via kernel maximum mean discrepancy.
Frontiers Comput. Sci., August, 2023

Semi-Supervised Learning With Label Proportion.
IEEE Trans. Knowl. Data Eng., 2023

2022
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data.
IEEE Trans. Knowl. Data Eng., 2022

2021
Fragmentary Multi-Instance Classification.
IEEE Trans. Cybern., 2021

Incomplete multi-view learning via half-quadratic minimization.
Neurocomputing, 2021

Active label distribution learning.
Neurocomputing, 2021

2020
Multi-view subspace learning via bidirectional sparsity.
Pattern Recognit., 2020

Joint consensus and diversity for multi-view semi-supervised classification.
Mach. Learn., 2020

Randomized multi-label subproblems concatenation via error correcting output codes.
Neurocomputing, 2020

Multi-View Spectral Clustering With Incomplete Graphs.
IEEE Access, 2020

Optimal Representative Distribution Margin Machine for Multi-Instance Learning.
IEEE Access, 2020

2019
Full Representation Data Embedding via Nonoverlapping Historical Features.
IEEE Trans. Cybern., 2019

Co-learning binary classifiers for LP-based multi-label classification.
Cogn. Syst. Res., 2019

Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Partial multi-view spectral clustering.
Neurocomputing, 2018

Incomplete Multi-view Clustering via Structured Graph Learning.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Co-learning Binary Classifiers for LP-Based Multi-label Classification.
Proceedings of the Intelligence Science and Big Data Engineering, 2018

2017
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph.
IEEE Trans. Knowl. Data Eng., 2017

2016
Unsupervised feature extraction using a learned graph with clustering structure.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


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