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 33 papers between 2014 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

2024
MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention.
IEEE J. Biomed. Health Informatics, June, 2024

Asynchronous Federated Clustering with Unknown Number of Clusters.
CoRR, 2024

Order Is All You Need for Categorical Data Clustering.
CoRR, 2024

Attributed Graph Clustering via Generalized Quaternion Representation Learning.
CoRR, 2024

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning.
CoRR, 2024

LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering.
CoRR, 2024

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values.
Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Learning Order Forest for Qualitative-Attribute Data Clustering.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 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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