Yiqun Zhang

Orcid: 0000-0002-0328-987X

Affiliations:
  • Guangdong University of Technology, Guangzhou, China
  • Hongkong Baptist University, SAR, Hongkong, China (former)


According to our database1, Yiqun Zhang authored at least 13 papers between 2014 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering.
IEEE Trans. Cybern., 2022

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2020
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

An Ordinal Data Clustering Algorithm with Automated Distance Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training.
IEEE Trans. Neural Networks Learn. Syst., 2019

2018
Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

A fast hierarchical clustering approach based on partition and merging scheme.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2016
Quality preserved data summarization for fast hierarchical clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Discretizing Numerical Attributes in Decision Tree for Big Data Analysis.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014


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