Yiqun Zhang

According to our database, Yiqun Zhang authored at least 33 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning.

Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng

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.

Jiayu Ye, An Zeng, Dan Pan, Yiqun Zhang, Jingliang Zhao, Qiuping Chen, Yang Liu

IEEE J. Biomed. Health Informatics, June, 2024

Asynchronous Federated Clustering with Unknown Number of Clusters.

Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung

CoRR, 2024

Order Is All You Need for Categorical Data Clustering.

Yiqun Zhang, Mingjie Zhao, Hong Jia, Yiu-ming Cheung

CoRR, 2024

Attributed Graph Clustering via Generalized Quaternion Representation Learning.

Junyang Chen, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-ming Cheung

CoRR, 2024

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

Fengling Lv, Xinyi Shang, Yang Zhou, Yiqun Zhang, Mengke Li, Yang Lu

CoRR, 2024

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

Yongqi Xu, Yujian Lee, Rong Zou, Yiqun Zhang, Yiu-Ming Cheung

CoRR, 2024

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition.

Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-Ming Cheung, Hui Huang

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.

Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values.

Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung

Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data.

Yunfan Zhang, Xiaopeng Luo, Qingsheng Chen, Rong Zou, Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning.

Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-Ming Cheung, Hong Jia, Peng Liu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Learning Order Forest for Qualitative-Attribute Data Clustering.

Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung

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.

Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang

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.

Xiaopeng Luo, Yiqun Zhang, Yuzhu Ji, Peng Liu, Taoting Xiao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis.

Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang, Yue Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data.

Yiqun Zhang, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.

Mingjie Zhao, Yiqun Zhang, Yuzhu Ji, Yang Lu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.

Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Xiaobo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation.

Shiting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin, Xiaobo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU.

Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang, Jing Lin

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.

Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-Ming Cheung, Kangshun Li

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.

Yiqun Zhang, Yiu-Ming Cheung

IEEE Trans. Cybern., 2022

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes.

Yiqun Zhang, Yiu-ming Cheung

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering.

Yiqun Zhang, Yiu-ming Cheung, An Zeng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.

Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo

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.

Yiqun Zhang, Yiu-Ming Cheung, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2020

An Ordinal Data Clustering Algorithm with Automated Distance Learning.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training.

Yiu-ming Cheung, Yiqun Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

A fast hierarchical clustering approach based on partition and merging scheme.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2016

Quality preserved data summarization for fast hierarchical clustering.

Yiqun Zhang, Yiu-ming Cheung, Yang Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Discretizing Numerical Attributes in Decision Tree for Big Data Analysis.

Yiqun Zhang, Yiu-ming Cheung

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014